diff --git a/.copier-answers.yml b/.copier-answers.yml
new file mode 100644
index 0000000..d90b9cb
--- /dev/null
+++ b/.copier-answers.yml
@@ -0,0 +1,11 @@
+# This file is managed by Copier; DO NOT EDIT OR REMOVE.
+_commit: v0.1.0
+_src_path: https://github.com/quantco/copier-template-python-open-source
+add_autobump_workflow: true
+github_url: https://github.com/quantco/tabulardelta
+github_user: AaronTackeQC
+minimal_python_version: py311
+project_name: TabularDelta
+project_short_description: Simplify table comparisons.
+project_slug: tabulardelta
+use_devcontainer: false
diff --git a/.gitattributes b/.gitattributes
new file mode 100644
index 0000000..5bce681
--- /dev/null
+++ b/.gitattributes
@@ -0,0 +1,8 @@
+* text=auto
+
+*.{diff,patch} binary
+
+*.{py,yaml,yml,sh} text eol=lf
+*.bat text eol=crlf
+
+pixi.lock linguist-language=YAML linguist-generated=true
diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS
new file mode 100644
index 0000000..04f9803
--- /dev/null
+++ b/.github/CODEOWNERS
@@ -0,0 +1 @@
+* @AaronTackeQC
diff --git a/.github/PULL_REQUEST_TEMPLATE.md b/.github/PULL_REQUEST_TEMPLATE.md
new file mode 100644
index 0000000..3fa37b7
--- /dev/null
+++ b/.github/PULL_REQUEST_TEMPLATE.md
@@ -0,0 +1,7 @@
+# Motivation
+
+<!-- Why is this change necessary? Link issues here if applicable. -->
+
+# Changes
+
+<!-- What changes have been performed? -->
diff --git a/.github/actions/mssql-linux/action.yml b/.github/actions/mssql-linux/action.yml
new file mode 100644
index 0000000..4ee615c
--- /dev/null
+++ b/.github/actions/mssql-linux/action.yml
@@ -0,0 +1,15 @@
+name: Launch MSSQL on GitHub Linux VMs
+
+runs:
+  using: composite
+  steps:
+    - name: Cache connection details
+      shell: bash -el {0}
+      run: echo '{"project_name":"","port":1434,"docker_compose_file":"","cache_file":""}' > ./tests/mssql_container/.mssql_container_cache.json
+    - name: Login to GHCR
+      shell: bash -el {0}
+      run: docker login ghcr.io -u ${{ github.actor }} -p ${{ github.token }}
+    - name: Launch MSSQL
+      shell: bash -el {0}
+      run: |
+        docker compose -f ./tests/mssql_container/docker-compose.yml up -d
diff --git a/.github/actions/mssql-windows/action.yml b/.github/actions/mssql-windows/action.yml
new file mode 100644
index 0000000..65cce40
--- /dev/null
+++ b/.github/actions/mssql-windows/action.yml
@@ -0,0 +1,32 @@
+name: Launch MSSQL on GitHub Windows VMs
+
+runs:
+  using: composite
+  steps:
+    - name: Cache connection details
+      shell: bash -el {0}
+      run: echo '{"project_name":"","port":null,"docker_compose_file":"","cache_file":""}' > ./tests/mssql_container/.mssql_container_cache.json
+    - name: Start SQL Server LocalDB
+      shell: bash -el {0}
+      run: |
+        SqlLocalDB.exe create "SQLLocalDB"
+        SqlLocalDB.exe share "SQLLocalDB" "MSSQLLocalDB"
+        SqlLocalDB.exe start "SQLLocalDB"
+    - name: Establish login for SQL Server LocalDB
+      shell: bash -el {0}
+      run: |
+        CONN_STR=$(
+          SqlLocalDB.exe info "SQLLocalDB" \
+          | grep "Instance pipe name:" \
+          | sed 's/^Instance pipe name: \(.*\)$/\1/'
+        )
+        CREATE_USER_QUERY=$(
+          cat <<EOF
+          ALTER LOGIN sa ENABLE;
+          GO
+          ALTER LOGIN sa WITH PASSWORD = 'Passw0rd' UNLOCK;
+          GO
+          EXIT
+        EOF
+        )
+        sqlcmd -b -j -S "$CONN_STR" -Q "$CREATE_USER_QUERY"
diff --git a/.github/dependabot.yml b/.github/dependabot.yml
new file mode 100644
index 0000000..3891848
--- /dev/null
+++ b/.github/dependabot.yml
@@ -0,0 +1,10 @@
+version: 2
+updates:
+  - package-ecosystem: github-actions
+    directory: /
+    schedule:
+      interval: monthly
+    groups:
+      gh-actions:
+        patterns:
+          - "*"
diff --git a/.github/release-drafter.yml b/.github/release-drafter.yml
new file mode 100644
index 0000000..5c81e25
--- /dev/null
+++ b/.github/release-drafter.yml
@@ -0,0 +1,100 @@
+# ------------------------------------- PULL REQUEST LABELS ------------------------------------- #
+autolabeler:
+  # Conventional Commit Types (https://github.com/commitizen/conventional-commit-types)
+  - label: build
+    title:
+      - '/^build(\(.*\))?(\!)?\:/'
+  - label: chore
+    title:
+      - '/^chore(\(.*\))?(\!)?\:/'
+  - label: ci
+    title:
+      - '/^ci(\(.*\))?(\!)?\:/'
+  - label: documentation
+    title:
+      - '/^docs(\(.*\))?(\!)?\:/'
+  - label: enhancement
+    title:
+      - '/^feat(\(.*\))?(\!)?\:/'
+  - label: fix
+    title:
+      - '/^fix(\(.*\))?(\!)?\:/'
+  - label: performance
+    title:
+      - '/^perf(\(.*\))?(\!)?\:/'
+  - label: refactor
+    title:
+      - '/^refactor(\(.*\))?(\!)?\:/'
+  - label: revert
+    title:
+      - '/^revert(\(.*\))?(\!)?\:/'
+  - label: style
+    title:
+      - '/^style(\(.*\))?(\!)?\:/'
+  - label: test
+    title:
+      - '/^test(\(.*\))?(\!)?\:/'
+  # Custom Types
+  - label: breaking
+    title:
+      - '/^[a-z]+(\(.*\))?\!\:/'
+# ------------------------------------- AUTOMATIC VERSIONING ------------------------------------ #
+version-resolver:
+  major:
+    labels:
+      - breaking
+  minor:
+    labels:
+      - enhancement
+  default: patch
+# ------------------------------------ RELEASE CONFIGURATION ------------------------------------ #
+name-template: "v$RESOLVED_VERSION"
+tag-template: "v$RESOLVED_VERSION"
+category-template: "### $TITLE"
+change-template: "- $TITLE by @$AUTHOR in [#$NUMBER]($URL)"
+replacers:
+  # remove conventional commit tag & scope from change list
+  - search: '/- [a-z]+(\(.*\))?(\!)?\: /g'
+    replace: "- "
+template: |
+  ## What's Changed
+
+  $CHANGES
+
+categories:
+  - title: ⚠️ Breaking Changes
+    labels:
+      - breaking
+  - title: ✨ New Features
+    labels:
+      - enhancement
+  - title: 🐞 Bug Fixes
+    labels:
+      - fix
+  - title: 🏎️ Performance Improvements
+    labels:
+      - performance
+  - title: 📚 Documentation
+    labels:
+      - documentation
+  - title: 🏗️ Testing
+    labels:
+      - test
+  - title: ⚙️ Automation
+    labels:
+      - ci
+  - title: 🛠 Builds
+    labels:
+      - build
+  - title: 💎 Code Style
+    labels:
+      - style
+  - title: 📦 Refactorings
+    labels:
+      - refactor
+  - title: ♻️ Chores
+    labels:
+      - chore
+  - title: 🗑 Reverts
+    labels:
+      - revert
diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml
new file mode 100644
index 0000000..308c5c3
--- /dev/null
+++ b/.github/workflows/build.yml
@@ -0,0 +1,46 @@
+name: Build
+on:
+  pull_request:
+  push:
+    branches:
+      - main
+    tags:
+      - "*"
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          ref: ${{ github.ref }}
+          fetch-depth: 0
+      - name: Set up pixi
+        uses: prefix-dev/setup-pixi@ba3bb36eb2066252b2363392b7739741bb777659
+        with:
+          environments: build
+      - name: Build project
+        run: pixi run -e build build-wheel
+      - name: Check build artifact
+        run: pixi run -e build twine-check
+      - name: Upload package
+        uses: actions/upload-artifact@v4
+        with:
+          name: artifact
+          path: dist/*
+
+  release:
+    name: Publish package
+    if: startsWith(github.ref, 'refs/tags/')
+    needs: [build]
+    runs-on: ubuntu-latest
+    permissions:
+      id-token: write
+    environment: pypi
+    steps:
+      - uses: actions/download-artifact@v4
+        with:
+          name: artifact
+          path: dist
+      - name: Publish package on PyPi
+        uses: pypa/gh-action-pypi-publish@ec4db0b4ddc65acdf4bff5fa45ac92d78b56bdf0
diff --git a/.github/workflows/chore.yml b/.github/workflows/chore.yml
new file mode 100644
index 0000000..20a8802
--- /dev/null
+++ b/.github/workflows/chore.yml
@@ -0,0 +1,66 @@
+name: Chore
+on:
+  pull_request:
+    branches: [main]
+    types: [opened, reopened, edited, synchronize]
+  push:
+    branches: [main]
+
+concurrency:
+  group: ${{ github.workflow }}-${{ github.ref }}
+  cancel-in-progress: true
+
+jobs:
+  check-pr-title:
+    name: Check PR Title
+    if: github.event_name == 'pull_request'
+    runs-on: ubuntu-latest
+    permissions:
+      contents: read
+      pull-requests: write
+    steps:
+      - name: Check valid conventional commit message
+        id: lint
+        uses: amannn/action-semantic-pull-request@v5
+        with:
+          subjectPattern: ^[A-Z].+[^. ]$ # subject must start with uppercase letter and may not end with a dot/space
+        env:
+          GITHUB_TOKEN: ${{ github.token }}
+      - name: Post comment about invalid PR title
+        if: failure()
+        uses: marocchino/sticky-pull-request-comment@v2
+        with:
+          header: conventional-commit-pr-title
+          message: |
+            Thank you for opening this pull request! 👋🏼
+
+            This repository requires pull request titles to follow the [Conventional Commits specification](https://www.conventionalcommits.org/en/v1.0.0/) and it looks like your proposed title needs to be adjusted.
+
+            <details><summary><b>Details</b></summary>
+
+            ```
+            ${{ steps.lint.outputs.error_message }}
+            ```
+
+            </details>
+      - name: Delete comment about invalid PR title
+        if: success()
+        uses: marocchino/sticky-pull-request-comment@v2
+        with:
+          header: conventional-commit-pr-title
+          delete: true
+
+  release-drafter:
+    name: ${{ github.event_name == 'pull_request' && 'Assign Labels' || 'Draft Release' }}
+    runs-on: ubuntu-latest
+    permissions:
+      contents: write
+      pull-requests: write
+    steps:
+      - name: ${{ github.event_name == 'pull_request' && 'Assign labels' || 'Update release draft' }}
+        uses: release-drafter/release-drafter@v6
+        with:
+          disable-releaser: ${{ github.event_name == 'pull_request' }}
+          disable-autolabeler: ${{ github.event_name == 'push' }}
+        env:
+          GITHUB_TOKEN: ${{ github.token }}
diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
new file mode 100644
index 0000000..d51a997
--- /dev/null
+++ b/.github/workflows/ci.yml
@@ -0,0 +1,58 @@
+name: CI
+on: [push]
+
+# Automatically stop old builds on the same branch/PR
+concurrency:
+  group: ${{ github.workflow }}-${{ github.ref }}
+  cancel-in-progress: true
+
+jobs:
+  pre-commit:
+    timeout-minutes: 30
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout branch
+        uses: actions/checkout@v4
+      - name: Set up pixi
+        uses: prefix-dev/setup-pixi@ba3bb36eb2066252b2363392b7739741bb777659
+        with:
+          environments: default lint
+      - name: pre-commit
+        run: pixi run pre-commit-run --color=always --show-diff-on-failure
+
+  unit-tests:
+    name: pytest
+    timeout-minutes: 30
+    runs-on: ${{ matrix.os }}
+    strategy:
+      fail-fast: false
+      matrix:
+        environment:
+          - py311
+          - py312
+          - no-sql
+        os:
+          - ubuntu-latest
+          - windows-latest
+    steps:
+      - name: Checkout branch
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+      - name: Install msodbcsql17 (Linux Only)
+        if: ${{ matrix.environment != 'no-sql' && matrix.os == 'ubuntu-latest' }}
+        run: sudo ACCEPT_EULA=Y apt-get install msodbcsql17 -y
+      - name: Launch MSSQL (Linux Only)
+        if: ${{ matrix.environment != 'no-sql' && matrix.os == 'ubuntu-latest' }}
+        uses: ./.github/actions/mssql-linux
+      - name: Launch MSSQL (Windows Only)
+        if: ${{ matrix.environment != 'no-sql' && matrix.os == 'windows-latest' }}
+        uses: ./.github/actions/mssql-windows
+      - name: Set up pixi
+        uses: prefix-dev/setup-pixi@ba3bb36eb2066252b2363392b7739741bb777659
+        with:
+          environments: ${{ matrix.environment }}
+      - name: Install repository
+        run: pixi run -e ${{ matrix.environment }} postinstall
+      - name: Run pytest
+        run: pixi run -e ${{ matrix.environment }} test-coverage --color=yes ${{ matrix.environment=='no-sql' && '-m "not sql"' || ''}}
diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml
new file mode 100644
index 0000000..41e52f0
--- /dev/null
+++ b/.github/workflows/docs.yml
@@ -0,0 +1,61 @@
+name: Documentation
+on: [push]
+
+concurrency:
+  group: ${{ github.workflow }}-${{ github.ref }}
+  cancel-in-progress: true
+
+jobs:
+  build:
+    name: Build Docs
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+      - name: Set up pixi
+        uses: prefix-dev/setup-pixi@ba3bb36eb2066252b2363392b7739741bb777659
+        with:
+          environments: docs
+      - name: Install package
+        run: pixi run -e docs postinstall
+      - name: Build docs
+        run: pixi run docs
+      - name: Upload html
+        uses: actions/upload-artifact@v4
+        with:
+          name: docs
+          path: docs/_build/html
+
+  upload:
+    name: Upload Docs
+    needs: build
+    runs-on: ubuntu-latest
+    permissions:
+      contents: read
+      id-token: write
+    steps:
+      - name: Download html
+        uses: actions/download-artifact@v4
+        with:
+          name: docs
+      - name: Authenticate with GCP
+        uses: google-github-actions/auth@v2
+        with:
+          workload_identity_provider: projects/610600912298/locations/global/workloadIdentityPools/doqker-devel-github-actions-pool/providers/github-actions-provider
+          service_account: sa-github-actions@doqker-devel.iam.gserviceaccount.com
+          token_format: access_token
+      - name: Setup gcloud
+        uses: google-github-actions/setup-gcloud@v2
+      - name: Set ref (release)
+        if: startsWith(github.ref, 'refs/tags/')
+        run: echo "docs-path=${{ github.ref_name }}" >> $GITHUB_ENV
+      - name: Set ref (main)
+        if: github.ref == 'refs/heads/main'
+        run: echo "docs-path=latest" >> $GITHUB_ENV
+      - name: Set ref (pull_request)
+        if: startsWith(github.ref, 'refs/heads/') && github.ref != 'refs/heads/main'
+        run: echo "docs-path=${{ github.ref }}" >> $GITHUB_ENV
+      - name: Upload to Google Cloud Storage
+        run: gcloud storage cp -r * gs://qc-github-artifacts/${{ github.repository }}/${{ env.docs-path }}/
diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..f14f1ed
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,405 @@
+# Explicitly unignore hidden files for ripgrep. Individual folders can still
+# be ignored in the blocks below.
+!.*
+
+# NOTE: The block below is NOT copied sic from https://www.toptal.com/developers/gitignore.
+# Instead, it contains some customizations that should be taken into account when adjusting the
+# block.
+
+# Created by https://www.toptal.com/developers/gitignore/api/linux,macos,direnv,python,windows,pycharm+all,visualstudiocode,vim
+# Edit at https://www.toptal.com/developers/gitignore?templates=linux,macos,direnv,python,windows,pycharm+all,visualstudiocode,vim
+
+### direnv ###
+.direnv
+.envrc
+
+### Linux ###
+*~
+
+# temporary files which can be created if a process still has a handle open of a deleted file
+.fuse_hidden*
+
+# KDE directory preferences
+.directory
+
+# Linux trash folder which might appear on any partition or disk
+.Trash-*
+
+# .nfs files are created when an open file is removed but is still being accessed
+.nfs*
+
+### macOS ###
+# General
+.DS_Store
+.AppleDouble
+.LSOverride
+
+# Icon must end with two \r
+Icon
+
+
+# Thumbnails
+._*
+
+# Files that might appear in the root of a volume
+.DocumentRevisions-V100
+.fseventsd
+.Spotlight-V100
+.TemporaryItems
+.Trashes
+.VolumeIcon.icns
+.com.apple.timemachine.donotpresent
+
+# Directories potentially created on remote AFP share
+.AppleDB
+.AppleDesktop
+Network Trash Folder
+Temporary Items
+.apdisk
+
+### macOS Patch ###
+# iCloud generated files
+*.icloud
+
+### PyCharm+all ###
+# Covers JetBrains IDEs: IntelliJ, RubyMine, PhpStorm, AppCode, PyCharm, CLion, Android Studio, WebStorm and Rider
+# Reference: https://intellij-support.jetbrains.com/hc/en-us/articles/206544839
+
+# User-specific stuff
+.idea/**/workspace.xml
+.idea/**/tasks.xml
+.idea/**/usage.statistics.xml
+.idea/**/dictionaries
+.idea/**/shelf
+
+# AWS User-specific
+.idea/**/aws.xml
+
+# Generated files
+.idea/**/contentModel.xml
+
+# Sensitive or high-churn files
+.idea/**/dataSources/
+.idea/**/dataSources.ids
+.idea/**/dataSources.local.xml
+.idea/**/sqlDataSources.xml
+.idea/**/dynamic.xml
+.idea/**/uiDesigner.xml
+.idea/**/dbnavigator.xml
+
+# Gradle
+.idea/**/gradle.xml
+.idea/**/libraries
+
+# Gradle and Maven with auto-import
+# When using Gradle or Maven with auto-import, you should exclude module files,
+# since they will be recreated, and may cause churn.  Uncomment if using
+# auto-import.
+# .idea/artifacts
+# .idea/compiler.xml
+# .idea/jarRepositories.xml
+# .idea/modules.xml
+# .idea/*.iml
+# .idea/modules
+# *.iml
+# *.ipr
+
+# CMake
+cmake-build-*/
+
+# Mongo Explorer plugin
+.idea/**/mongoSettings.xml
+
+# File-based project format
+*.iws
+
+# IntelliJ
+out/
+
+# mpeltonen/sbt-idea plugin
+.idea_modules/
+
+# JIRA plugin
+atlassian-ide-plugin.xml
+
+# Cursive Clojure plugin
+.idea/replstate.xml
+
+# SonarLint plugin
+.idea/sonarlint/
+
+# Crashlytics plugin (for Android Studio and IntelliJ)
+com_crashlytics_export_strings.xml
+crashlytics.properties
+crashlytics-build.properties
+fabric.properties
+
+# Editor-based Rest Client
+.idea/httpRequests
+
+# Android studio 3.1+ serialized cache file
+.idea/caches/build_file_checksums.ser
+
+# MsSql container cache file
+tests/mssql_container/.mssql_container_cache.json
+
+### PyCharm+all Patch ###
+# Ignore everything but code style settings and run configurations
+# that are supposed to be shared within teams.
+
+.idea/*
+
+!.idea/codeStyles
+!.idea/runConfigurations
+
+### Python ###
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+docs/api/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pixi
+#   Similar to Pipfile.lock, it is generally recommended to include pixi.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+.pixi
+#pixi.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+.idea/
+
+### Python Patch ###
+# Poetry local configuration file - https://python-poetry.org/docs/configuration/#local-configuration
+poetry.toml
+
+# ruff
+.ruff_cache/
+
+# LSP config files
+pyrightconfig.json
+
+### Vim ###
+# Swap
+[._]*.s[a-v][a-z]
+!*.svg  # comment out if you don't need vector files
+[._]*.sw[a-p]
+[._]s[a-rt-v][a-z]
+[._]ss[a-gi-z]
+[._]sw[a-p]
+
+# Session
+Session.vim
+Sessionx.vim
+
+# Temporary
+.netrwhist
+# Auto-generated tag files
+tags
+# Persistent undo
+[._]*.un~
+
+### VisualStudioCode ###
+.vscode/
+#!.vscode/settings.json
+#!.vscode/tasks.json
+#!.vscode/launch.json
+#!.vscode/extensions.json
+#!.vscode/*.code-snippets
+
+# Local History for Visual Studio Code
+.history/
+
+# Built Visual Studio Code Extensions
+*.vsix
+
+### VisualStudioCode Patch ###
+# Ignore all local history of files
+.history
+.ionide
+
+### Windows ###
+# Windows thumbnail cache files
+Thumbs.db
+Thumbs.db:encryptable
+ehthumbs.db
+ehthumbs_vista.db
+
+# Dump file
+*.stackdump
+
+# Folder config file
+[Dd]esktop.ini
+
+# Recycle Bin used on file shares
+$RECYCLE.BIN/
+
+# Windows Installer files
+*.cab
+*.msi
+*.msix
+*.msm
+*.msp
+
+# Windows shortcuts
+*.lnk
+
+# End of https://www.toptal.com/developers/gitignore/api/linux,macos,direnv,python,windows,pycharm+all,visualstudiocode,vim
+
+# rattler-build
+output/
+# setuptools-scm needs `.git/refs/tags`, don't ignore
+!.git/refs/tags
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
new file mode 100644
index 0000000..e8c3e32
--- /dev/null
+++ b/.pre-commit-config.yaml
@@ -0,0 +1,69 @@
+exclude: ^(\.copier-answers\.yml)|.pixi$
+repos:
+  - repo: local
+    hooks:
+      # ensure pixi environments are up to date
+      # workaround for https://github.com/prefix-dev/pixi/issues/1482
+      - id: pixi-install
+        name: pixi-install
+        entry: pixi install -e default -e lint
+        language: system
+        always_run: true
+        require_serial: true
+        pass_filenames: false
+      # ruff
+      - id: ruff
+        name: ruff
+        entry: pixi run -e lint ruff check --fix --exit-non-zero-on-fix --force-exclude
+        language: system
+        types_or: [python, pyi]
+        require_serial: true
+      - id: ruff-format
+        name: ruff-format
+        entry: pixi run -e lint ruff format --force-exclude
+        language: system
+        types_or: [python, pyi]
+        require_serial: true
+      # mypy
+      - id: mypy
+        name: mypy
+        entry: pixi run -e default mypy
+        language: system
+        types: [python]
+        require_serial: true
+      # prettier
+      - id: prettier
+        name: prettier
+        entry: pixi run -e lint prettier --write --list-different --ignore-unknown
+        language: system
+        types: [text]
+        files: \.(md|yml|yaml)$
+      # taplo
+      - id: taplo
+        name: taplo
+        entry: pixi run -e lint taplo format
+        language: system
+        types: [toml]
+      # pre-commit-hooks
+      - id: trailing-whitespace-fixer
+        name: trailing-whitespace-fixer
+        entry: pixi run -e lint trailing-whitespace-fixer
+        language: system
+        types: [text]
+      - id: end-of-file-fixer
+        name: end-of-file-fixer
+        entry: pixi run -e lint end-of-file-fixer
+        language: system
+        types: [text]
+      - id: check-merge-conflict
+        name: check-merge-conflict
+        entry: pixi run -e lint check-merge-conflict --assume-in-merge
+        language: system
+        types: [text]
+      # typos
+      - id: typos
+        name: typos
+        entry: pixi run -e lint typos --force-exclude
+        language: system
+        types: [text]
+        require_serial: true
diff --git a/.prettierignore b/.prettierignore
new file mode 100644
index 0000000..c835e2c
--- /dev/null
+++ b/.prettierignore
@@ -0,0 +1,6 @@
+build
+conda.recipe
+.copier-answers.yml
+
+*.html
+*.properties
diff --git a/.prettierrc b/.prettierrc
new file mode 100644
index 0000000..478cc53
--- /dev/null
+++ b/.prettierrc
@@ -0,0 +1,7 @@
+{
+  "singleQuote": false,
+  "bracketSpacing": true,
+  "printWidth": 200,
+  "endOfLine": "auto",
+  "tabWidth": 2
+}
diff --git a/.readthedocs.yaml b/.readthedocs.yaml
new file mode 100644
index 0000000..1c07a25
--- /dev/null
+++ b/.readthedocs.yaml
@@ -0,0 +1,14 @@
+version: 2
+build:
+  os: ubuntu-20.04
+  tools:
+    python: mambaforge-latest
+  commands:
+    - mamba install -c conda-forge -c nodefaults pixi
+    - pixi run -e docs postinstall
+    - pixi run -e docs docs
+    - pixi run -e docs readthedocs
+sphinx:
+  configuration: docs/conf.py
+formats:
+  - pdf
diff --git a/README.md b/README.md
new file mode 100644
index 0000000..50700a9
--- /dev/null
+++ b/README.md
@@ -0,0 +1,32 @@
+# TabularDelta
+
+[![CI](https://img.shields.io/github/actions/workflow/status/quantco/tabulardelta/ci.yml?style=flat-square&branch=main)](https://github.com/quantco/tabulardelta/actions/workflows/ci.yml)
+[![Documentation](https://img.shields.io/badge/docs-latest-success?branch=main&style=flat-square)](https://tabulardelta.readthedocs.io/en/latest/)
+[![pypi-version](https://img.shields.io/pypi/v/tabulardelta.svg?logo=pypi&logoColor=white&style=flat-square)](https://pypi.org/project/tabulardelta)
+[![python-version](https://img.shields.io/pypi/pyversions/tabulardelta?logoColor=white&logo=python&style=flat-square)](https://pypi.org/project/tabulardelta)
+
+Simplify table comparisons.
+
+## Development
+
+This project is managed by [pixi](https://pixi.sh).
+You can install the package in development mode using:
+
+```bash
+git clone https://github.com/quantco/tabulardelta
+cd tabulardelta
+
+pixi run pre-commit-install
+pixi run postinstall
+pixi run test
+```
+
+## Testing
+
+- Make sure docker is installed
+- Make sure `ODBC Driver 17 for SQL Server` is installed
+  - See [Download ODBC Driver for SQL Server](https://learn.microsoft.com/en-us/sql/connect/odbc/download-odbc-driver-for-sql-server?view=sql-server-ver16)
+  - This may require setting the `ODBCSYSINI` environment variable to the path of msodbcsql17
+- Run `pixi run test`
+
+Setting up the MsSql docker container may take a while, but it will be cached for future runs as long as you keep it running.
diff --git a/conda.recipe/recipe.yaml b/conda.recipe/recipe.yaml
new file mode 100644
index 0000000..9484a17
--- /dev/null
+++ b/conda.recipe/recipe.yaml
@@ -0,0 +1,43 @@
+# yaml-language-server: $schema=https://raw.githubusercontent.com/prefix-dev/recipe-format/main/schema.json
+
+context:
+  name: tabulardelta
+  version: ${{ env.get('GIT_DESCRIBE_TAG') | trim('v') }}${{ ('.post' + env.get('GIT_DESCRIBE_NUMBER') + '+' + env.get('GIT_DESCRIBE_HASH')) if env.get('GIT_DESCRIBE_NUMBER', default='0') != '0' }}
+
+package:
+  name: ${{ name | lower }}
+  version: ${{ version }}
+
+source:
+  path: ../
+
+build:
+  number: 0
+  noarch: python
+  script:
+    - python -m pip install . --no-deps --ignore-installed -vv --no-build-isolation --disable-pip-version-check
+
+requirements:
+  host:
+    - python >=3.11
+    - pip
+    - setuptools-scm
+  run:
+    - python >=3.11
+    - numpy >=1.24.4,<3
+    - pandas >=2.0.3,<3
+  run_constraints:
+    - sqlalchemy
+    - sqlcompyre
+    - pyodbc
+
+tests:
+  - python:
+      imports:
+        - tabulardelta
+      pip_check: true
+
+about:
+  homepage: https://github.com/quantco/tabulardelta
+  license: LicenseRef-QuantCo
+  summary: "Simplify arbitrary table comparisons."
diff --git a/docs/Makefile b/docs/Makefile
new file mode 100644
index 0000000..d4bb2cb
--- /dev/null
+++ b/docs/Makefile
@@ -0,0 +1,20 @@
+# Minimal makefile for Sphinx documentation
+#
+
+# You can set these variables from the command line, and also
+# from the environment for the first two.
+SPHINXOPTS    ?=
+SPHINXBUILD   ?= sphinx-build
+SOURCEDIR     = .
+BUILDDIR      = _build
+
+# Put it first so that "make" without argument is like "make help".
+help:
+	@$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
+
+.PHONY: help Makefile
+
+# Catch-all target: route all unknown targets to Sphinx using the new
+# "make mode" option.  $(O) is meant as a shortcut for $(SPHINXOPTS).
+%: Makefile
+	@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
diff --git a/docs/_static/concept.png b/docs/_static/concept.png
new file mode 100644
index 0000000..a91f909
Binary files /dev/null and b/docs/_static/concept.png differ
diff --git a/docs/_static/custom.css b/docs/_static/custom.css
new file mode 100644
index 0000000..c964348
--- /dev/null
+++ b/docs/_static/custom.css
@@ -0,0 +1,12 @@
+section span.caption-text {
+    display: none;
+}
+.red {
+    color:red;
+}
+.blue {
+    color:blue;
+}
+.green {
+    color:green;
+}
diff --git a/docs/conf.py b/docs/conf.py
new file mode 100644
index 0000000..34a4313
--- /dev/null
+++ b/docs/conf.py
@@ -0,0 +1,113 @@
+# Copyright (c) QuantCo 2022-2024
+# SPDX-License-Identifier: LicenseRef-QuantCo
+
+# Configuration file for the Sphinx documentation builder.
+#
+# This file only contains a selection of the most common options. For a full
+# list see the documentation:
+# https://www.sphinx-doc.org/en/master/usage/configuration.html
+
+# -- Path setup --------------------------------------------------------------
+
+# If extensions (or modules to document with autodoc) are in another directory,
+# add these directories to sys.path here. If the directory is relative to the
+# documentation root, use os.path.abspath to make it absolute, like shown here.
+#
+import os
+import sys
+
+sys.path.insert(0, os.path.abspath(".."))
+
+
+# -- Project information -----------------------------------------------------
+
+import datetime
+import importlib
+import inspect
+import os
+import subprocess
+import sys
+from subprocess import CalledProcessError
+from typing import cast
+
+_mod = importlib.import_module("tabulardelta")
+
+
+project = "TabularDelta"
+copyright = f"{datetime.date.today().year}, QuantCo, Inc"
+author = "QuantCo, Inc."
+
+extensions = [
+    "numpydoc",
+    "sphinx.ext.linkcode",
+    "sphinxcontrib.apidoc",
+]
+
+apidoc_module_dir = "../tabulardelta"
+apidoc_output_dir = "api"
+apidoc_separate_modules = True
+apidoc_extra_args = ["--implicit-namespaces"]
+
+templates_path = ["_templates"]
+exclude_patterns = ["_build", "Thumbs.db", ".DS_Store"]
+html_theme = "sphinx_rtd_theme"
+html_static_path = ["_static"]
+html_css_files = ["custom.css"]
+
+
+# Copied and adapted from
+# https://github.com/pandas-dev/pandas/blob/4a14d064187367cacab3ff4652a12a0e45d0711b/doc/source/conf.py#L613-L659
+# Required configuration function to use sphinx.ext.linkcode
+def linkcode_resolve(domain, info):
+    """Determine the URL corresponding to a given Python object."""
+    if domain != "py":
+        return None
+
+    module_name = info["module"]
+    full_name = info["fullname"]
+
+    _submodule = sys.modules.get(module_name)
+    if _submodule is None:
+        return None
+
+    _object = _submodule
+    for _part in full_name.split("."):
+        try:
+            _object = getattr(_object, _part)
+        except AttributeError:
+            return None
+
+    try:
+        fn = inspect.getsourcefile(inspect.unwrap(_object))  # type: ignore
+    except TypeError:
+        fn = None
+    if not fn:
+        return None
+
+    try:
+        source, line_number = inspect.getsourcelines(_object)
+    except OSError:
+        line_number = None  # type: ignore
+
+    if line_number:
+        linespec = f"#L{line_number}-L{line_number + len(source) - 1}"
+    else:
+        linespec = ""
+
+    fn = os.path.relpath(fn, start=os.path.dirname(cast(str, _mod.__file__)))
+
+    try:
+        # See https://stackoverflow.com/a/21901260
+        commit = (
+            subprocess.check_output(["git", "rev-parse", "HEAD"])
+            .decode("ascii")
+            .strip()
+        )
+    except CalledProcessError:
+        # If subprocess returns non-zero exit status
+        commit = "main"
+
+    return (
+        "https://github.com/quantco/tabulardelta"
+        f"/blob/{commit}/{_mod.__name__.replace('.', '/')}/{fn}{linespec}"
+    )
diff --git a/docs/index.rst b/docs/index.rst
new file mode 100644
index 0000000..b2c8236
--- /dev/null
+++ b/docs/index.rst
@@ -0,0 +1,537 @@
+.. role:: red
+
+.. role:: blue
+
+.. role:: green
+
+
+TabularDelta
+=========================================
+
+.. contents:: Contents
+    :depth: 2
+
+
+TabularDelta simplifies the comparison of diverse tables, like SQL tables or Pandas DataFrames.
+It can both find small deviations in largely similar tables, as well as provide an overview of more structural changes.
+
+To compare two tables, first select a comparator that supports the table format.
+Now select any formatter that best suits your use case to obtain a visualization of the result.
+
+Comparators return objects that comply with the TabularDelta protocol.
+Formatters can render all objects that adhere to the TabularDelta protocol.
+This approach allows you to freely combine comparators and formatters.
+In addition, you can add support for new table types and output formats with minimal effort.
+
+
+.. image:: _static/concept.png
+  :alt: Comparators (like SQLCompyre-Comparator, Pandas-Comparator, or Sql-Metadata-Comparator) create objects which adhere to the TabularDelta Protocol, Formatters (like Detailed-Text-Formatter or Overview-Row-Formatter) can transform these depending on the use case.
+
+Installation
+============
+
+.. code:: bash
+
+    pip install sqlcompyre
+    # or
+    micromamba install sqlcompyre
+    # or
+    conda install sqlcompyre
+
+Examples
+========
+
+Let's look at some increasingly complex code examples.
+
+TabularDelta is particularly good for comparing large, confusing tables that are too big for this page.
+So feel free to try it out on your own data!
+
+.. code-block:: python
+
+    df_old, df_new = ...
+    delta = PandasComparator().compare(df_old, df_new)
+    print(DetailedTextFormatter().format(delta))
+
+Given two pandas DataFrames, we can compare them using the PandasComparator.
+This returns (like every other comparator) an object which adheres to the TabularDelta protocol.
+Thus, we can choose any formatter, like the DetailedTextFormatter, to visualize the result.
+
+CSV Comparison Script
+---------------------
+Suppose you are an investor in a factory and have just received the new weekly work schedule.
+Not only is the new schedule sorted by initials (instead of weekdays), but it is also shorter.
+Now you want to find out as quickly as possible:
+Is this due to less demand? Will the factory be closed on specific days?
+Or is the reduced number of shifts just compensated by longer working hours?
+
+We can answer these questions using this standalone python script for comparing two CSV files on disk.
+Reading the CSV files into Pandas DataFrames enables the use of the PandasComparator.
+The resulting delta is visualized using the DetailedTextFormatter.
+
+
+.. code-block:: python
+
+    import pandas as pd
+    from tabulardelta import PandasComparator, DetailedTextFormatter
+
+    df_old = pd.read_csv("week24.csv", index_col=[0, 1])
+    df_new = pd.read_csv("week25.csv", index_col=[0, 1])
+
+    delta = PandasComparator().compare(df_old, df_new)
+    print(DetailedTextFormatter().format(delta))
+
+Since no `join_columns` are specified for the comparison, the DataFrame index will be used for matching rows.
+Here, the index are the first two columns, "Day" and "Who".
+
+.. list-table::
+   :header-rows: 1
+
+   * - week24.csv
+     - week25.csv
+     - Python script output
+   * - ::
+
+        Day,Who,Shift
+        Mon, ZR, 8h
+        Mon, WO, 7h
+        Mon, FJ, 6h
+        Mon, GT, 3h
+        Tue, FJ, 2h
+        Tue, AT, 6h
+        Tue, LK, 7h
+        Tue, GT, 6h
+        Tue, ZR, 3h
+        Wed, LK, 8h
+        Wed, ZR, 2h
+        Wed, JK, 4h
+        Wed, WO, 5h
+        Wed, DA, 5h
+        Thu, LK, 4h
+        Thu, JK, 7h
+        Thu, ZR, 5h
+        Thu, DA, 8h
+        Fri, DA, 4h
+        Fri, GT, 8h
+        Fri, LK, 2h
+        Fri, JK, 5h
+        Fri, LN, 5h
+        Sat, ZR, 4h
+        Sat, CN, 5h
+        Sat, LN, 2h
+        Sat, AT, 6h
+        Sat, LK, 7h
+        Sun, LN, 3h
+        Sun, FJ, 5h
+        Sun, JK, 8h
+        Sun, ZR, 8h
+
+     - ::
+
+        Day,Who,Shift
+        Sat, CN, 6h
+        Wed, DA, 5h
+        Thu, DA, 8h
+        Fri, DA, 4h
+        Mon, FJ, 6h
+        Tue, FJ, 5h
+        Sun, FJ, 5h
+        Mon, GT, 3h
+        Tue, GT, 7h
+        Fri, GT, 8h
+        Wed, JK, 4h
+        Thu, JK, 7h
+        Sun, JK, 8h
+        Fri, JK, 5h
+        Tue, LK, 7h
+        Wed, LK, 8h
+        Thu, LK, 4h
+        Fri, LK, 2h
+        Sat, LK, 7h
+        Fri, LN, 5h
+        Sat, LN, 5h
+        Sun, LN, 3h
+        Mon, WO, 7h
+        Wed, WO, 5h
+        Mon, ZR, 8h
+        Tue, ZR, 5h
+        Wed, ZR, 2h
+        Thu, ZR, 5h
+        Sat, ZR, 6h
+        Sun, ZR, 8h
+
+     - ::
+
+        --------------- TabularDelta Report:  ---------------
+
+        INFO: Row Order Changed!
+
+        Joined on index.
+
+        All columns and types are identical.
+
+           Old         New
+            32          30
+        ┏━┯━┯━┯━┓
+        ┃-│-│-│-┃              2 removed
+        ┠─┼─┼─┼─┨╌╌╌┏━┯━┯━┯━┓---------------╶╮
+        ┃ │ │ │ ┃ = ┃ │ │ │ ┃  24 identical  │ 30
+        ┠─┼─┼─┼─┨╌╌╌┠─┼─┼─┼─┨--------------- ├╴rows
+        ┃ │ │ │ ┃ ≠ ┃ │ │ │ ┃  6 changed     │ joined
+        ┗━┷━┷━┷━┛╌╌╌┗━┷━┷━┷━┛---------------╶╯
+
+        Column Shift - 6 rows changed:
+                    Shift  →  Shift  example_Day  example_Who
+              (2x)   2h    →   5h    Tue           FJ
+                     3h    →   5h    Tue           ZR
+                     4h    →   6h    Sat           ZR
+                     5h    →   6h    Sat           CN
+                     6h    →   7h    Tue           GT
+
+        REMOVED ROWS EXAMPLES:
+        Day│Who│Shift
+        Sat│ AT│ 6h
+        Tue│ AT│ 6h
+
+
+In detail, the report shows us the following:
+
+* Columns and data types have remained the same, which is obvious for the 3 columns here, but would not be for 30 columns.
+* Two rows (shifts) have been removed.
+* All other shifts still exist (30 joined), but only 24 stayed the same.
+* For the remaining 6 shifts, the working hours increased.
+
+CLI for Comparing SQL Tables
+----------------------------
+
+A simple CLI implementation for comparing SQL tables in a terminal.
+
+After specifying the click arguments and getting a SQLAlchemy engine, it's the same thing as always:
+Use a comparator to generate an object which adheres to the TabularDelta protocol, and choose a formatter to render the result.
+
+.. code-block:: python
+
+    @click.command()
+    @click.argument("old_table")
+    @click.argument("new_table")
+    @click.argument("join_columns", nargs=-1)
+    def compare_sql(old_table: str, new_table: str, join_columns: list[str]):
+        engine: sqlalchemy.Engine = ...
+
+        delta = SqlCompyreComparator(engine, join_columns).compare(old_table, new_table)
+        print(DetailedTextFormatter().format(delta))
+
+An example execution looks like this:
+
+.. code-block:: bash
+
+    $ python compare_sql.py archive.registration master.registration activity valid_from
+    ---------------------- TabularDelta Report: registration -> registration ----------------------
+
+    Joined on ['activity', 'valid_from'].
+
+    Added columns:
+    ┏━━━━━━━━━━━━━━━━━━━━━━━━━━┓
+    ┃free_days_until_registered┃
+    ┃(BIGINT)                  ┃
+    ┣━━━━━━━━━━━━━━━━━━━━━━━━━━┫
+
+    Renamed columns:
+    ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
+    ┃registration → registration_date┃
+    ┃(DATETIME)                      ┃
+    ┣━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┫
+
+       Old         New
+       769         780
+    ┏━┯━┯━┯━┓╌╌╌┏━┯━┯━┯━┓----------------╶╮
+    ┃ │ │ │ ┃ = ┃ │ │ │ ┃  757 identical  │ 769
+    ┠─┼─┼─┼─┨╌╌╌┠─┼─┼─┼─┨---------------- ├╴rows
+    ┃ │ │ │ ┃ ≠ ┃ │ │ │ ┃  12 changed     │ joined
+    ┗━┷━┷━┷━┛╌╌╌┠─┼─┼─┼─┨----------------╶╯
+                ┃+│+│+│+┃  11 added
+                ┗━┷━┷━┷━┛
+
+    Column valid_until - 12 rows changed:
+                 valid_until          →  valid_until          example_valid_from   example_activity
+          (12x)  9999-12-31 00:00:00  →  2024-06-28 00:00:00  2000-01-01 00:00:00  123
+
+    ADDED ROWS EXAMPLES:
+    activity│valid_from         │registration_date  │valid_until
+    892     │2000-01-01 00:00:00│2024-07-18 00:00:00│9999-12-31 00:00:00
+    893     │2000-01-01 00:00:00│2024-07-18 00:00:00│9999-12-31 00:00:00
+    894     │2000-01-01 00:00:00│2024-07-18 00:00:00│9999-12-31 00:00:00
+
+
+Posting reports like this in a PR greatly helps reviewers to understand the changes.
+
+SQL Pipeline Validation in Pipedag
+----------------------------------
+
+Keeping track of changes in data pipelines is often not easy.
+But TabularDelta can help.
+
+Let's say we use pipedag (from pydiverse) to define our pipeline.
+Pipedag provides an :code:`@input_stage_versions` decorator,
+which allows you to access the current and previous tables as dictionaries (name -> table).
+
+
+.. code-block:: python
+
+    @input_stage_versions(input_type=sa.Table)
+    def validate_stage(tbls: dict[str, sa.Table], other_tbls: dict[str, sa.Table]):
+        comparator = SqlMetadataComparator(MsSqlContainer().get_cache().sqlalchemy_engine())
+        formatter = OverviewRowFormatter(warnings=False)
+        formatter.add_header()
+
+        for common in set(tbls) & set(other_tbls):
+            delta = comparator.compare(tbls[common], other_tbls[common])
+            formatter.format(delta)
+
+        for added in set(tbls) - set(other_tbls):
+            delta = comparator.compare(tbls[added], tbls[added])
+            formatter.add_row(f"+ {added}", delta.count_new_rows, len(delta.new_columns))
+
+        formatter.add_legend()
+        print(formatter.table())
+
+
+To get an overview of several changes, we use the OverviewRowFormatter.
+The functions :code:`.add_header()`, :code:`.format()`, :code:`.add_row()`, and :code:`.add_legend()` each add rows.
+The :code:`.table()` call at the end is used to output the accumulated rows as a table.
+
+If a new table is added to the pipeline (so it is not yet in other_tbls when it is first executed),
+we compare the new table with itself, and use :code:`formatter.add_row()` to mark it as new.
+
+We use the SqlMetadataComparator to not delay the execution of the pipeline.
+This comparator compares tables with as much details as possible while just looking at the metadata in the database.
+Since it doesn't touch the actual data, it is very fast, but the rows can't be checked for equality.
+
+::
+
+    TABLE              ROWS  =  ≠  +  -  ?       COLUMNS  +  -  ≠  Δ  t
+    ≠ data_load        327         ₇     ₃₂₀     23
+    ≠ clean            324         ₆     ₃₁₈     24
+    ≠ code_features    324         ₆     ₃₁₈     23          ₁
+    ≠ weekday_feature  324         ₆     ₃₁₈     22
+    ≠ feature_merge    324         ₆     ₃₁₈     24          ₁
+    ≠ filter           318         ₃     ₃₁₅     24          ₁
+
+    LEGEND
+      equal                           ROW COUNT               COLUMN COUNT
+    + added                           = joined and identical  + added
+    - removed                         ≠ joined but different  - removed
+    ≠ unequal                         + added                 ≠ values differ
+    ? unknown                         - removed               Δ renamed
+    ⚠ error occurred                  ? uncompared            t type changed
+
+
+A column is missing unexpectedly at the end of the pipeline.
+Usually, it would be cumbersome to find the source of this problem,
+but using the report, we can immediately see that the bug was introduced in code_featuers.
+
+Looking at the total row count, usually 3% of our rows are filtered out at the end.
+But this time, over 57% of the new rows are missing, so it might be worth investigating further.
+
+Extending TabularDelta
+======================
+
+TabularDelta Protocol
+---------------------
+
+The TabularDelta Protocol defines which information is available for a table comparison, and how to access this.
+As a protocol, it is designed to be as generic as possible.
+This would allow for a wide range of implementations, with extensions, lazy comparisons and more.
+
+The protocol contains information about the comparison itself
+(like the names of the tables, warnings, errors and additional information),
+as well as the actual differences of the tables, which are separated in `cols` (for columns) and `rows`.
+
+For more details, please have a look at the API reference:
+
+.. toctree::
+   :maxdepth: 1
+   :caption: TabularDelta API:
+
+   TabularDelta Protocol <api/tabulardelta.tabulardelta>
+
+Comparators using TabularDelta_Dataclasses
+----------------------------------------------
+
+Comparators can compare two (tabular) data sources and return an object which adheres to the TabularDelta protocol:
+
+.. code-block:: python
+
+    T = TypeVar("T", contravariant=True)
+
+    class Comparator(Protocol[T]):
+        def compare(self, old: T, new: T) -> TabularDelta: ...
+
+
+All current comparators rely on
+:doc:`tabulardelta_dataclasses.py<api/tabulardelta.comparators.tabulardelta_dataclasses>`
+which implements the TabularDelta protocol using dataclasses.
+
+These currently implemented Comparators are:
+
+**SqlCompyreComparator**: This comparator is a wrapper which uses SQLCompyre to create a comparison result.
+
+**SqlMetadataComparator**: Repeatedly comparing a large number of huge tables using SQLCompyre leads to delays.
+The SqlMetadataComparator uses DBS-specific metadata to achieve the best possible comparison in O(1) with regards to the number of rows.
+At the moment this is only implemented for MsSql Server, but can easily be extended for other DBSs with just a few lines of code.
+
+**PandasComparator**: This comparator compares two DataFrames.
+Since many tabular formats support the conversion to Pandas DataFrames, and Pandas itself offers a variety
+of import options, this can also be used for CSV, Polars, Excel, JSON, Parquet, etc.
+
+To write a new Comparator, you just need to implement the `compare` method,
+which returns an object adhering to the TabularDelta protocol.
+
+.. code-block:: python
+
+    @dataclass
+    class PolarsComparator:
+        join_columns: list[str] | None = None
+        name: str = ""
+
+        def compare(self, left: pl.DataFrame, right: pl.DataFrame) -> TabularDelta:
+            comparator = PandasComparator(self.join_columns, self.name)
+            return comparator.compare(left.to_pandas(), right.to_pandas())
+
+Of course, it would be more efficient and less error-prone for special cases, if you could directly compare Polars DataFrames,
+so feel free to implement a "real" PolarsComparator and to open a PR for it :)
+
+For more details, please have a look at the API reference:
+
+.. toctree::
+   :maxdepth: 1
+   :caption: Comparators:
+
+   Comparator Protocol <api/tabulardelta.comparators.comparator>
+   PandasComparator <api/tabulardelta.comparators.pandas_comparator>
+   SqlCompyreComparator <api/tabulardelta.comparators.sqlcompyre_comparator>
+   SqlMetadataComparator <api/tabulardelta.comparators.sqlmetadata_comparator>
+   TabularDelta Dataclasses <api/tabulardelta.comparators.tabulardelta_dataclasses>
+
+Formatters and TabularText
+--------------------------------
+
+Formatters take an object which adheres to the TabularText protocol and do something with it.
+
+.. code-block:: python
+
+    T = TypeVar("T", covariant=True)
+
+    class Formatter(Protocol[T]):
+        def format(self, delta: TabularDelta) -> T: ...
+
+Most formatters just visualize the differences in a human-readable way.
+Therefore, many use the TabularText module might be useful, which enables rendering tables with different borders, rowspans and colspans:
+
+.. code-block:: python
+
+    from tabulardelta.formatters.tabulartext.cell import Cell
+    from tabulardelta.formatters.tabulartext.table import Table, Border
+
+    row1 = ["Just", "first", "row", Cell(["Two", "Rows"], rowspan=2)]
+    row2 = [Cell(["Second\nRow"], colspan=3), "BottomRight"]
+
+    print("\nDefault border:")
+    print(Table.from_lists([row1, row2]).to_string())
+
+    print("\nDIY border:")
+    inner_border = Border(",,,,  | ,,  + ,  + ,, ---,,  + ,  + ,,  + ,,,,")
+    print(Table.from_lists([row1, row2], inner_border).to_string())
+
+This will output the following tables:
+
+.. code-block::
+
+    Default border:
+    ┏━━━━┯━━━━━┯━━━┯━━━━┯━━━━━━━━━━━┓
+    ┃Just│first│row│Two │           ┃
+    ┠────┴─────┴───┤Rows├───────────┨
+    ┃Second        │    │BottomRight┃
+    ┃Row           │    │           ┃
+    ┗━━━━━━━━━━━━━━┷━━━━┷━━━━━━━━━━━┛
+
+    DIY border:
+    Just | first | row | Two  |
+    ---- + ----- + --- + Rows + -----------
+    Second             |      | BottomRight
+    Row                |      |
+
+The currently available formatters, which both use TabularText, are:
+
+**DetailedTextFormatter**: The goal of this formatter is to get as many details about a single comparison without loosing the overview.
+
+**OverviewRowFormatter**: This formatter is stateful, and collects comparisons as rows.
+Calling `table()` will combine all comparisons into a single table.
+Additionally, `add_header`, `add_row`, and `add_legend` allows to extend the visualisation with additional information.
+
+To show how easy it is to write a new formatter, let's say we want to use TabularDelta within test cases.
+The following implementation of a new formatter works as follow: Given a TabularDelta object,
+all changes are collected in a list, and an AssertionError is raised if this list isn't empty.
+
+.. code-block:: python
+
+    class AssertingFormatter:
+        @staticmethod
+        def format(delta: TabularDelta) -> None:
+            type_chgs = chain.from_iterable(
+                (delta.cols.comparable_type_changed, delta.cols.incomparable_type_changed)
+            )
+            changes = [
+                [f"Removed {c.name}" for c in delta.cols.removed],
+                [f"Added {c.name}" for c in delta.cols.added],
+                [f"Renamed {c.old.name} -> {c.new.name}" for c in delta.cols.renamed],
+                [f"{c.new.name} changed: {c.old.type} -> {c.new.type}" for c in type_chgs],
+                ["New rows"] * (len(delta.rows.added) > 0),
+                ["Missing rows"] * (len(delta.rows.removed) > 0),
+                ["Changed rows"] * (len(delta.rows.unequal) > 0),
+            ]
+            if flat_changes := list(chain.from_iterable(changes)):
+                raise AssertionError("\n - ".join(flat_changes))
+
+
+    def test_example():
+        expected = pd.DataFrame({"id": [1, 2, 3]})
+        observed = ...
+
+        delta = PandasComparator().compare(expected, observed)
+        AssertingFormatter.format(delta)
+
+With only a few lines of code, we can now use all Comparators together with the newly written
+AssertingFormatter, to check various table formats for equality.
+
+.. parsed-literal::
+
+    :red:`>           raise AssertionError("\n - ".join(flat_changes))
+    E           AssertionError:
+    E            - Added data
+    E            - Renamed id -> key
+    E            - New rows`
+
+    :blue:`asserting_formatter.py:31`: :red:`AssertionError`
+
+The output will explain, which changes led to the failure. If more details are needed,
+you could easily extend the formatter, or just print the result of the DetailedTextFormatter.
+
+
+For more details, please have a look at the API reference:
+
+
+.. toctree::
+   :maxdepth: 1
+   :caption: Formatters:
+
+   Formatter Protocol <api/tabulardelta.formatters.formatter>
+   DetailedTextFormatter <api/tabulardelta.formatters.detailed_text_formatter>
+   OverviewRowFormatter <api/tabulardelta.formatters.overview_row_formatter>
+   Table Rendering <api/tabulardelta.formatters.tabulartext>
+
+Indices and tables
+==================
+
+* :ref:`genindex`
+* :ref:`modindex`
+* :ref:`search`
diff --git a/docs/make.bat b/docs/make.bat
new file mode 100644
index 0000000..922152e
--- /dev/null
+++ b/docs/make.bat
@@ -0,0 +1,35 @@
+@ECHO OFF
+
+pushd %~dp0
+
+REM Command file for Sphinx documentation
+
+if "%SPHINXBUILD%" == "" (
+	set SPHINXBUILD=sphinx-build
+)
+set SOURCEDIR=.
+set BUILDDIR=_build
+
+if "%1" == "" goto help
+
+%SPHINXBUILD% >NUL 2>NUL
+if errorlevel 9009 (
+	echo.
+	echo.The 'sphinx-build' command was not found. Make sure you have Sphinx
+	echo.installed, then set the SPHINXBUILD environment variable to point
+	echo.to the full path of the 'sphinx-build' executable. Alternatively you
+	echo.may add the Sphinx directory to PATH.
+	echo.
+	echo.If you don't have Sphinx installed, grab it from
+	echo.http://sphinx-doc.org/
+	exit /b 1
+)
+
+%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
+goto end
+
+:help
+%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
+
+:end
+popd
diff --git a/pixi.lock b/pixi.lock
new file mode 100644
index 0000000..fdaf773
--- /dev/null
+++ b/pixi.lock
@@ -0,0 +1,20295 @@
+version: 5
+environments:
+  build:
+    channels:
+    - url: https://conda.anaconda.org/conda-forge/
+    packages:
+      linux-64:
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/atk-1.0-2.38.0-h04ea711_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-24.2.0-pyh71513ae_0.conda
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+      - conda: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.3.2-pyhd8ed1ab_0.conda
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+      - conda: https://conda.anaconda.org/conda-forge/linux-64/expat-2.6.2-h59595ed_0.conda
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+      - conda: https://conda.anaconda.org/conda-forge/noarch/fonts-conda-forge-1-0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/freetype-2.12.1-h267a509_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/fribidi-1.0.10-h36c2ea0_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/gdk-pixbuf-2.42.12-hb9ae30d_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/gflags-2.2.2-he1b5a44_1004.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/glog-0.7.1-hbabe93e_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/graphite2-1.3.13-h59595ed_1003.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/graphviz-12.0.0-hba01fac_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/greenlet-3.0.3-py312h30efb56_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/gtk2-2.24.33-h6470451_5.conda
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+      - conda: https://conda.anaconda.org/conda-forge/noarch/h2-4.1.0-pyhd8ed1ab_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-9.0.0-hda332d3_1.conda
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+  sha256: cee16ab07a11303de721915f0a269e8c7a54a5c834aa52f74b1cc3a59000ade8
+  md5: 9653f1bf3766164d0e65fa723cabbc54
+  depends:
+  - libgcc-ng >=12
+  - libzlib 1.3.1 h4ab18f5_1
+  license: Zlib
+  license_family: Other
+  purls: []
+  size: 93004
+  timestamp: 1716874213487
+- kind: conda
+  name: zlib
+  version: 1.3.1
+  build: h87427d6_1
+  build_number: 1
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/zlib-1.3.1-h87427d6_1.conda
+  sha256: 41bd5fef28b2755d637e3a8ea5c84010628392fbcf80c7e3d7370aaced7ee4fe
+  md5: 3ac9ef8975965f9698dbedd2a4cc5894
+  depends:
+  - __osx >=10.13
+  - libzlib 1.3.1 h87427d6_1
+  license: Zlib
+  license_family: Other
+  purls: []
+  size: 88782
+  timestamp: 1716874245467
+- kind: conda
+  name: zlib
+  version: 1.3.1
+  build: hfb2fe0b_1
+  build_number: 1
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/zlib-1.3.1-hfb2fe0b_1.conda
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+  md5: f27e021db7862b6ddbc1d3578f10d883
+  depends:
+  - __osx >=11.0
+  - libzlib 1.3.1 hfb2fe0b_1
+  license: Zlib
+  license_family: Other
+  purls: []
+  size: 78260
+  timestamp: 1716874280334
+- kind: conda
+  name: zstandard
+  version: 0.23.0
+  build: py312h331e495_0
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/zstandard-0.23.0-py312h331e495_0.conda
+  sha256: c1d379d1062f23e3fbd3dd8548fc6cf61b23d6f96b11e78c4e01f4761580cb02
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+  - __osx >=10.13
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+  - python_abi 3.12.* *_cp312
+  - zstd >=1.5.6,<1.5.7.0a0
+  - zstd >=1.5.6,<1.6.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  purls:
+  - pkg:pypi/zstandard?source=conda-forge-mapping
+  size: 411066
+  timestamp: 1721044218542
+- kind: conda
+  name: zstandard
+  version: 0.23.0
+  build: py312h331e495_0
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/zstandard-0.23.0-py312h331e495_0.conda
+  sha256: c1d379d1062f23e3fbd3dd8548fc6cf61b23d6f96b11e78c4e01f4761580cb02
+  md5: fb62d40e45f51f7d6a7df47c9a12caf4
+  depends:
+  - __osx >=10.13
+  - cffi >=1.11
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
+  - zstd >=1.5.6,<1.5.7.0a0
+  - zstd >=1.5.6,<1.6.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 411066
+  timestamp: 1721044218542
+- kind: conda
+  name: zstandard
+  version: 0.23.0
+  build: py312h3483029_0
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/zstandard-0.23.0-py312h3483029_0.conda
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+  depends:
+  - __glibc >=2.17,<3.0.a0
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+  - libgcc-ng >=12
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
+  - zstd >=1.5.6,<1.5.7.0a0
+  - zstd >=1.5.6,<1.6.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  purls:
+  - pkg:pypi/zstandard?source=conda-forge-mapping
+  size: 416708
+  timestamp: 1721044154409
+- kind: conda
+  name: zstandard
+  version: 0.23.0
+  build: py312h3483029_0
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/zstandard-0.23.0-py312h3483029_0.conda
+  sha256: 7e1e105ea7eab2af591faebf743ff2493f53c313079e316419577925e4492b03
+  md5: eab52e88c858d87cf5a069f79d10bb50
+  depends:
+  - __glibc >=2.17,<3.0.a0
+  - cffi >=1.11
+  - libgcc-ng >=12
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
+  - zstd >=1.5.6,<1.5.7.0a0
+  - zstd >=1.5.6,<1.6.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 416708
+  timestamp: 1721044154409
+- kind: conda
+  name: zstandard
+  version: 0.23.0
+  build: py312h721a963_0
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/zstandard-0.23.0-py312h721a963_0.conda
+  sha256: 6fc0d2f7a0a49a7c1453bb9eacd5456214b6cf000760067d72f0cce464975fa1
+  md5: caf7f5b85615a132c0fa586b82bd59e6
+  depends:
+  - __osx >=11.0
+  - cffi >=1.11
+  - python >=3.12,<3.13.0a0
+  - python >=3.12,<3.13.0a0 *_cpython
+  - python_abi 3.12.* *_cp312
+  - zstd >=1.5.6,<1.5.7.0a0
+  - zstd >=1.5.6,<1.6.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  purls:
+  - pkg:pypi/zstandard?source=conda-forge-mapping
+  size: 332489
+  timestamp: 1721044244889
+- kind: conda
+  name: zstandard
+  version: 0.23.0
+  build: py312h721a963_0
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/zstandard-0.23.0-py312h721a963_0.conda
+  sha256: 6fc0d2f7a0a49a7c1453bb9eacd5456214b6cf000760067d72f0cce464975fa1
+  md5: caf7f5b85615a132c0fa586b82bd59e6
+  depends:
+  - __osx >=11.0
+  - cffi >=1.11
+  - python >=3.12,<3.13.0a0
+  - python >=3.12,<3.13.0a0 *_cpython
+  - python_abi 3.12.* *_cp312
+  - zstd >=1.5.6,<1.5.7.0a0
+  - zstd >=1.5.6,<1.6.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 332489
+  timestamp: 1721044244889
+- kind: conda
+  name: zstandard
+  version: 0.23.0
+  build: py312h7606c53_0
+  subdir: win-64
+  url: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.23.0-py312h7606c53_0.conda
+  sha256: 907edf473419a5aff6151900d09bb3f2b2c2ede8964f20ae87cb6fae04d0cbb7
+  md5: c405924e081cb476495ffe72c88e92c2
+  depends:
+  - cffi >=1.11
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
+  - zstd >=1.5.6,<1.5.7.0a0
+  - zstd >=1.5.6,<1.6.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  purls:
+  - pkg:pypi/zstandard?source=conda-forge-mapping
+  size: 320649
+  timestamp: 1721044547910
+- kind: conda
+  name: zstandard
+  version: 0.23.0
+  build: py312h7606c53_0
+  subdir: win-64
+  url: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.23.0-py312h7606c53_0.conda
+  sha256: 907edf473419a5aff6151900d09bb3f2b2c2ede8964f20ae87cb6fae04d0cbb7
+  md5: c405924e081cb476495ffe72c88e92c2
+  depends:
+  - cffi >=1.11
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
+  - zstd >=1.5.6,<1.5.7.0a0
+  - zstd >=1.5.6,<1.6.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 320649
+  timestamp: 1721044547910
+- kind: conda
+  name: zstd
+  version: 1.5.6
+  build: h0ea2cb4_0
+  subdir: win-64
+  url: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.6-h0ea2cb4_0.conda
+  sha256: 768e30dc513568491818fb068ee867c57c514b553915536da09e5d10b4ebf3c3
+  md5: 9a17230f95733c04dc40a2b1e5491d74
+  depends:
+  - libzlib >=1.2.13,<2.0.0a0
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
+  license: BSD-3-Clause
+  license_family: BSD
+  purls: []
+  size: 349143
+  timestamp: 1714723445995
+- kind: conda
+  name: zstd
+  version: 1.5.6
+  build: h915ae27_0
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/zstd-1.5.6-h915ae27_0.conda
+  sha256: efa04a98cb149643fa54c4dad5a0179e36a5fbc88427ea0eec88ceed87fd0f96
+  md5: 4cb2cd56f039b129bb0e491c1164167e
+  depends:
+  - __osx >=10.9
+  - libzlib >=1.2.13,<2.0.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  purls: []
+  size: 498900
+  timestamp: 1714723303098
+- kind: conda
+  name: zstd
+  version: 1.5.6
+  build: ha6fb4c9_0
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.6-ha6fb4c9_0.conda
+  sha256: c558b9cc01d9c1444031bd1ce4b9cff86f9085765f17627a6cd85fc623c8a02b
+  md5: 4d056880988120e29d75bfff282e0f45
+  depends:
+  - libgcc-ng >=12
+  - libstdcxx-ng >=12
+  - libzlib >=1.2.13,<2.0.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  purls: []
+  size: 554846
+  timestamp: 1714722996770
+- kind: conda
+  name: zstd
+  version: 1.5.6
+  build: hb46c0d2_0
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/zstd-1.5.6-hb46c0d2_0.conda
+  sha256: 2d4fd1ff7ee79cd954ca8e81abf11d9d49954dd1fef80f27289e2402ae9c2e09
+  md5: d96942c06c3e84bfcc5efb038724a7fd
+  depends:
+  - __osx >=11.0
+  - libzlib >=1.2.13,<2.0.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  purls: []
+  size: 405089
+  timestamp: 1714723101397
diff --git a/pixi.toml b/pixi.toml
new file mode 100644
index 0000000..097095c
--- /dev/null
+++ b/pixi.toml
@@ -0,0 +1,83 @@
+[project]
+name = "tabulardelta"
+description = "Simplify arbitrary table comparisons."
+channels = ["conda-forge"]
+platforms = ["osx-arm64", "osx-64", "linux-64", "win-64"]
+
+[tasks]
+postinstall = "pip install --no-build-isolation --no-deps --disable-pip-version-check -e ."
+
+[dependencies]
+python = ">=3.11"
+numpy = ">=1.24.4,<3"
+pandas = ">=2.0.3,<3"
+pydiverse-pipedag = ">=0.9.3,<0.10"
+duckdb = ">=1.0.0,<1.1"
+duckdb-engine = ">=0.12.1,<0.13"
+
+[host-dependencies]
+pip = "*"
+setuptools = ">=61"
+setuptools-scm = "*"
+[feature.docs.dependencies]
+make = "*"
+numpydoc = "*"
+sphinx = "*"
+sphinxcontrib-apidoc = "*"
+sphinx_rtd_theme = "*"
+[feature.docs.tasks]
+docs = "cd docs && make html"
+readthedocs = "rm -rf $READTHEDOCS_OUTPUT/html && cp -r docs/_build/html $READTHEDOCS_OUTPUT/html"
+
+[feature.test.dependencies]
+pytest = ">=6"
+pytest-cov = "*"
+pytest-md = "*"
+pytest-emoji = "*"
+mypy = "*"
+pandas-stubs = "*"
+pixi-pycharm = "*"
+polars = "*"
+[feature.test.tasks]
+test = "pytest"
+test-coverage = "pytest --cov=tabulardelta --cov-report=xml --cov-report=term-missing"
+
+[feature.build.dependencies]
+build = "*"
+twine = "*"
+[feature.build.tasks]
+build-wheel = "python -m build --no-isolation ."
+twine-check = "twine check dist/*"
+
+[feature.lint.dependencies]
+pre-commit = "*"
+insert-license-header = "*"
+docformatter = "*"
+ruff = "*"
+prettier = "*"
+taplo = "*"
+pre-commit-hooks = "*"
+typos = "*"
+[feature.lint.tasks]
+pre-commit-install = "pre-commit install"
+pre-commit-run = "pre-commit run -a"
+
+[feature.py311.dependencies]
+python = "3.11.*"
+[feature.py312.dependencies]
+python = "3.12.*"
+
+[feature.sql.dependencies]
+sqlalchemy = "*"
+pyodbc = "*"
+[feature.sql.pypi-dependencies]
+sqlcompyre = "*"
+
+[environments]
+no-sql = ["test"]
+default = ["test", "sql"]
+py311 = ["py311", "test", "sql"]
+py312 = ["py312", "test", "sql"]
+docs = ["docs", "sql"]
+build = ["build"]
+lint = { features = ["lint"], no-default-feature = true }
diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000..b86b4a4
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,67 @@
+[build-system]
+requires = ["setuptools", "setuptools-scm", "wheel"]
+
+[tool.setuptools_scm]
+version_scheme = "post-release"
+
+[project]
+name = "tabulardelta"
+description = "Simplify table comparisons."
+dynamic = ["version"]
+classifiers = [
+  "Programming Language :: Python :: 3",
+  "Programming Language :: Python :: 3.11",
+  "Programming Language :: Python :: 3.12",
+]
+readme = "README.md"
+requires-python = ">=3.11"
+
+[project.urls]
+repository = "https://github.com/quantco/tabulardelta"
+
+[tool.setuptools.packages.find]
+include = ["tabulardelta"]
+
+[project.scripts]
+
+[tool.ruff]
+line-length = 88
+
+[tool.ruff.lint]
+ignore = [
+  "N803", # https://docs.astral.sh/ruff/rules/invalid-argument-name
+  "N806", # https://docs.astral.sh/ruff/rules/non-lowercase-variable-in-function
+  "E501", # https://docs.astral.sh/ruff/faq/#is-the-ruff-linter-compatible-with-black
+]
+select = [
+  # pyflakes
+  "F",
+  # pycodestyle
+  "E",
+  "W",
+  # isort
+  "I",
+  # pep8-naming
+  "N",
+  # pyupgrade
+  "UP",
+]
+
+[tool.ruff.format]
+quote-style = "double"
+indent-style = "space"
+
+[tool.mypy]
+python_version = '3.11'
+no_implicit_optional = true
+check_untyped_defs = true
+
+# If you run into `missing library stubs or py.typed marker` errors
+# and no stubs are available for this library, you can add an override
+# to ignore the missing imports.
+# [[tool.mypy.overrides]]
+# module = ["my_module"]
+# ignore_missing_imports = true
+
+[tool.pytest.ini_options]
+testpaths = ["tests"]
diff --git a/tabulardelta/__init__.py b/tabulardelta/__init__.py
new file mode 100644
index 0000000..c6a2fef
--- /dev/null
+++ b/tabulardelta/__init__.py
@@ -0,0 +1,40 @@
+# Copyright (c) QuantCo 2022-2024
+# SPDX-License-Identifier: LicenseRef-QuantCo
+
+import importlib.metadata
+import warnings
+from typing import Any
+
+try:
+    __version__ = importlib.metadata.version(__name__)
+except importlib.metadata.PackageNotFoundError as e:  # pragma: no cover
+    warnings.warn(f"Could not determine version of {__name__}\n{e!s}", stacklevel=2)
+    __version__ = "unknown"
+
+from tabulardelta.comparators.comparator import Comparator
+from tabulardelta.comparators.pandas_comparator import PandasComparator
+from tabulardelta.formatters.detailed_text_formatter import DetailedTextFormatter
+from tabulardelta.formatters.formatter import Formatter
+from tabulardelta.formatters.overview_row_formatter import OverviewRowFormatter
+from tabulardelta.tabulardelta import TabularDelta
+
+try:
+    from tabulardelta.comparators.sqlcompyre_comparator import SqlCompyreComparator
+except ImportError:
+    SqlCompyreComparator = Any  # type: ignore
+
+try:
+    from tabulardelta.comparators.sqlmetadata_comparator import SqlMetadataComparator
+except ImportError:
+    SqlMetadataComparator = Any  # type: ignore
+
+__all__ = [
+    "TabularDelta",
+    "Formatter",
+    "DetailedTextFormatter",
+    "OverviewRowFormatter",
+    "Comparator",
+    "SqlCompyreComparator",
+    "SqlMetadataComparator",
+    "PandasComparator",
+]
diff --git a/tabulardelta/comparators/__init__.py b/tabulardelta/comparators/__init__.py
new file mode 100644
index 0000000..e1e8b31
--- /dev/null
+++ b/tabulardelta/comparators/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) QuantCo 2022-2024
+# SPDX-License-Identifier: LicenseRef-QuantCo
diff --git a/tabulardelta/comparators/comparator.py b/tabulardelta/comparators/comparator.py
new file mode 100644
index 0000000..c654483
--- /dev/null
+++ b/tabulardelta/comparators/comparator.py
@@ -0,0 +1,35 @@
+# Copyright (c) QuantCo 2022-2024
+# SPDX-License-Identifier: LicenseRef-QuantCo
+
+
+from typing import Protocol, TypeVar
+
+from tabulardelta.tabulardelta import TabularDelta
+
+T = TypeVar("T", contravariant=True)
+
+
+class Comparator(Protocol[T]):
+    """Protocol for offering table comparison logic for TabularDelta.
+
+    Ensures compatibility with all :class:`Formatter` implementations.
+
+    Methods
+    -------
+    compare(old: T, new: T) -> TabularDelta:
+        Compare two tables
+    """
+
+    def compare(self, old: T, new: T) -> TabularDelta:
+        """Compare two tables.
+
+        Arguments:
+            old :class:`T`:
+                The old table (first table to compare).
+            new :class:`T`:
+                The new table (second table to compare).
+
+        Returns :class:`TabularDelta`:
+            Metadata and results of the comparison.
+        """
+        ...
diff --git a/tabulardelta/comparators/pandas_comparator.py b/tabulardelta/comparators/pandas_comparator.py
new file mode 100644
index 0000000..bbbe26d
--- /dev/null
+++ b/tabulardelta/comparators/pandas_comparator.py
@@ -0,0 +1,325 @@
+# Copyright (c) QuantCo 2022-2024
+# SPDX-License-Identifier: LicenseRef-QuantCo
+
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+from typing import Any
+
+import numpy as np
+import pandas as pd
+
+from tabulardelta.comparators.tabulardelta_dataclasses import (
+    ColumnPair,
+    TabularDelta,
+)
+
+LOSSLESS_CONV = {
+    "int8": {"int16", "int32", "int64", "object"},
+    "int16": {"int32", "int64", "object"},
+    "int32": {"int64", "object"},
+    "int64": {"object"},
+    "uint8": {"uint16", "uint32", "uint64", "object"},
+    "uint16": {"uint32", "uint64", "object"},
+    "uint32": {"uint64", "object"},
+    "uint64": {"object"},
+    "float32": {"float64", "object"},
+    "float64": {"object"},
+    # String dtypes are currently (2024-05-10) experimental and hard to compare.
+}
+
+
+@dataclass(frozen=True)
+class PandasComparator:
+    """Implements :class:`Comparator` protocol for comparing pandas DataFrames.
+
+    Methods
+    -------
+    compare(old: pd.DataFrame, new: pd.DataFrame) -> TabularDelta:
+        Compare two pandas DataFrames
+    """
+
+    join_columns: list[str] | None = None
+    """Columns to join on, uses index if unspecified."""
+
+    name: str = ""
+    """Name of the comparison/tables."""
+    float_rtol: float = 1.0e-5
+    """Relative tolerance for comparing floats."""
+    float_atol: float = 0.0
+    """Absolute tolerance for comparing floats."""
+    check_row_order: bool = True
+    """Check if row order changed.
+
+    Slight performance hit.
+    """
+
+    def compare(self, old: pd.DataFrame, new: pd.DataFrame) -> TabularDelta:
+        """Compare two pandas DataFrames.
+
+        Arguments:
+            old :pd.DataFrame:
+                The old table (first table to compare).
+            new :pd.DataFrame:
+                The new table (second table to compare).
+
+        Returns :class:`TabularDelta`:
+            Metadata and results of the comparison.
+        """
+        return compare_pandas(
+            old,
+            new,
+            old.dtypes.astype("string").to_dict(),
+            new.dtypes.astype("string").to_dict(),
+            self.join_columns,
+            self.name,
+            self.float_rtol,
+            self.float_atol,
+            self.check_row_order,
+        )
+
+
+def _specific_str(obj: Any) -> str | float:
+    """Get deterministic string representation for arbitrary objects."""
+    if isinstance(obj, bool | str | int | float | type(None)):
+        return repr(obj)
+    if type(obj).__repr__ != object.__repr__:
+        return repr(obj) + f" (<{type(obj).__name__}>)"
+    if type(obj).__str__ != object.__str__:
+        return str(obj) + f" (<{type(obj).__name__}>)"
+    raise ValueError(f"Cannot convert {obj} to deterministic string representation")
+
+
+def _cast(df: pd.DataFrame, col: str, dtype: str) -> None:
+    """Cast object into comparable dtype.
+
+    Use string representation for objects.
+    """
+    df[col] = df[col].map(_specific_str) if dtype == "object" else df[col].astype(dtype)  # type: ignore
+
+
+def _remove_suffix(df: pd.DataFrame, suffix: str) -> pd.DataFrame:
+    """Remove suffix from all column names in a DataFrame."""
+    mapping = {col: col[: -len(suffix)] for col in df.columns if col.endswith(suffix)}
+    return df.rename(columns=mapping)
+
+
+def _join(
+    old: pd.DataFrame, new: pd.DataFrame, join_cols: list[str], suffixes
+) -> tuple[pd.DataFrame, pd.DataFrame, pd.DataFrame]:
+    """Join two DataFrames on join_cols, failing for non-unique join columns.
+
+    Use outer join to get added and removed rows. Use inner join to not change data
+    types, since outer join adds Nones.
+    """
+    outer = pd.merge(
+        old,
+        new,
+        how="outer",
+        on=join_cols or None,
+        left_index=not join_cols,
+        right_index=not join_cols,
+        suffixes=suffixes,
+        indicator=True,
+    )
+    removed = _remove_suffix(outer[outer["_merge"] == "left_only"], suffixes[0])
+    added = _remove_suffix(outer[outer["_merge"] == "right_only"], suffixes[1])
+    joined = pd.merge(
+        old,
+        new,
+        how="inner",
+        on=join_cols or None,
+        left_index=not join_cols,
+        right_index=not join_cols,
+        suffixes=suffixes,
+        indicator=True,
+    )
+    if join_cols:
+        duplicates = joined.duplicated(subset=join_cols, keep=False)
+    else:
+        duplicates = pd.Series(joined.index.duplicated(keep=False))
+    if duplicates.any():
+        raise KeyError(f"Join columns {join_cols} are not unique.")
+    return added[new.columns], removed[old.columns], joined
+
+
+def _value_change(
+    df, join_cols, col, suffixes, old_dt, new_dt, incomparable: bool = False
+) -> ColumnPair:
+    """Create ColumnChange object for one column in a given DataFrame."""
+    diff = df[join_cols + [col + suffixes[0], col + suffixes[1]]].copy()
+    if not join_cols:
+        diff.reset_index(inplace=True)
+    diff.rename(columns={col + suffixes[1]: col}, inplace=True)
+    diff["_count"] = 1
+    combined = col, old_dt[col], col, new_dt[col], False
+    return ColumnPair.from_str(*combined, incomparable, diff)
+
+
+def compare_pandas(
+    old: pd.DataFrame,
+    new: pd.DataFrame,
+    old_dtypes: dict[str, str],
+    new_dtypes: dict[str, str],
+    join_columns: list[str] | None = None,
+    name: str = "",
+    float_rtol: float = 1.0e-5,
+    float_atol: float = 0,
+    check_row_order: bool = True,
+) -> TabularDelta:
+    """Compare pandas Dataframes.
+
+    If data was de-serialized imperfectly, the original dtypes can be specified.
+
+    Arguments:
+        old :class:`pd.DataFrame`:
+            The old table (first table to compare).
+        new :class:`pd.DataFrame`:
+            The new table (second table to compare).
+        old_dtypes :class:`dict[str, str]`:
+            The dtypes of the old table (name -> type).
+        new_dtypes :class:`dict[str, str]`:
+            The dtypes of the new table (name -> type).
+        join_columns :class:`list[str]` | :code:`None`:
+            Columns to join on, uses index if unspecified.
+        name :class:`str`:
+            Name of the comparison/tables.
+        float_rtol :class:`float`:
+            Relative tolerance for comparing floats.
+        float_atol :class:`float`:
+            Absolute tolerance for comparing floats.
+        check_row_order :class:`bool`:
+            Check if row order changed. Slight performance hit.
+
+    Returns :class:`TabularDelta`:
+        Metadata and results of the comparison.
+    """
+    if not join_columns:
+        join_columns = []
+    old = old.copy()
+    new = new.copy()
+    warnings = []
+    info: list[str] = []
+    if check_row_order:
+        old["_old_row_number"] = range(len(old))
+        new["_new_row_number"] = range(len(new))
+
+    # 1. Join dataframes on join_columns
+    suffixes = ("_old", "_new")
+    try:
+        added_rows, removed_rows, joined = _join(old, new, join_columns, suffixes)
+    except KeyError as e:  # Probably non-unique join columns
+        warnings.append(
+            f"Error when joining on columns {join_columns}: {e}\n"
+            f"Using all common columns as join columns instead.\n"
+            f"MODIFIED ROWS will be LISTED AS ADDED AND REMOVED"
+        )
+        common = [col for col in old.columns if col in new.columns]
+        join_columns = [col for col in common if old_dtypes[col] == new_dtypes[col]]
+        added_rows, removed_rows, joined = _join(old, new, join_columns, suffixes)
+    if not join_columns:
+        added_rows.reset_index(inplace=True)
+        removed_rows.reset_index(inplace=True)
+    if check_row_order:
+        joined = joined.sort_values("_old_row_number")
+        if not joined["_new_row_number"].is_monotonic_increasing:
+            info.append("Row Order Changed!")
+        joined.drop(columns=["_old_row_number", "_new_row_number"], inplace=True)
+        added_rows.drop(columns=["_new_row_number"], inplace=True)
+        removed_rows.drop(columns=["_old_row_number"], inplace=True)
+
+    # 2. Match columns (rename equal columns, drop unmatched)
+    only_old = set(old.columns) & set(joined.columns) - set(join_columns)
+    only_new = set(new.columns) & set(joined.columns) - set(join_columns)
+    tmp = {n: o for o in only_old for n in only_new if joined[o].equals(joined[n])}
+    renamed = {v: k for k, v in tmp.items()}  # Make both sides unique by reversing
+    if joined.shape[0] == 0:
+        renamed = {}  # Without rows, every column is equal
+    mapping = {v + suffixes[1]: v for v in renamed.values()}
+    mapping |= {v + suffixes[0]: k for k, v in renamed.items()}
+    unmatched_cols = (only_old | only_new) - set(renamed.keys()) - set(renamed.values())
+    joined.rename(columns={v: k for k, v in mapping.items()}, inplace=True)
+    joined.drop(columns=list(unmatched_cols), inplace=True)
+
+    # 2.5 Check column order
+    old_cols_renamed = [renamed.get(c, c) for c in old.columns]
+    new_col_positions = [np.flatnonzero(new.columns == c) for c in old_cols_renamed]
+    if any(len(pos) > 1 for pos in new_col_positions):
+        errors = [f"No injective column mapping (renaming: {renamed})"]
+        return TabularDelta.from_errors(errors)
+    filtered_positions = [pos[0] for pos in new_col_positions if len(pos) == 1]
+    if not all(i < j for i, j in zip(filtered_positions, filtered_positions[1:])):
+        info.append("Column Order Changed!")
+
+    # Quick access to important datastructures:
+    cols = set(joined.columns)  # Get interesting (non-joined) columns without suffix
+    cols = {col[: -len(suffixes[0])] for col in cols if col.endswith(suffixes[0])}
+    old_names = {col: mapping.get(col + suffixes[0], col) for col in cols}
+    new_names = {col: mapping.get(col + suffixes[1], col) for col in cols}
+    old_dt = {col: old_dtypes[old_names[col]] for col in cols}  # Using new names
+    new_dt = {col: new_dtypes[new_names[col]] for col in cols}  # Using new names
+
+    # 3. Match dtypes (cast if possible, otherwise mark incomparable)
+    dtype_changes: list[ColumnPair] = []
+    changed = {col for col in cols if old_dt[col] != new_dt[col]}
+    cast_old = {c for c in changed if old_dt[c] in LOSSLESS_CONV.get(new_dt[c], set())}
+    cast_new = {c for c in changed if new_dt[c] in LOSSLESS_CONV.get(old_dt[c], set())}
+    unsupported = changed - cast_old - cast_new
+    for col in cast_old | cast_new:
+        _cast(
+            joined, col + suffixes[0], new_dt[col] if col in cast_new else old_dt[col]
+        )
+        _cast(
+            joined, col + suffixes[1], new_dt[col] if col in cast_new else old_dt[col]
+        )
+    for col in unsupported:
+        change = _value_change(
+            joined, join_columns, col, suffixes, old_dt, new_dt, True
+        )
+        dtype_changes.append(change)
+        joined.drop(columns=[col + suffixes[0], col + suffixes[1]], inplace=True)
+    cols -= unsupported
+
+    # 4. Compare values
+    column_changes = []
+    for col in cols:
+        left, right = joined[col + suffixes[0]], joined[col + suffixes[1]]
+        if joined.dtypes[col + suffixes[0]] in ["float32", "float64"]:
+            joined[col + "_equal"] = np.isclose(
+                left, right, float_rtol, float_atol, True
+            )
+        else:
+            joined[col + "_equal"] = (left == right) | pd.isna(left) & pd.isna(right)
+        unequal = joined[~joined[col + "_equal"].astype("bool")]
+        change = _value_change(unequal, join_columns, col, suffixes, old_dt, new_dt)
+        if len(change) > 0:
+            column_changes.append(change)
+    joined["_equal"] = joined[[col + "_equal" for col in cols]].agg("all", axis=1)
+    equal_rows = joined[["_equal"]].value_counts().get(True, 0)
+
+    # 5. Return DataFrameDiff
+    ren_cols = [
+        ColumnPair.from_str(old, old_dtypes[old], new, new_dtypes[new])
+        for old, new in renamed.items()
+    ]
+    added = [
+        (None, None, col, new_dtypes[col]) for col in only_new - set(renamed.values())
+    ]
+    removed = [(col, old_dtypes[col]) for col in only_old - set(renamed.keys())]
+    joins = [(c, old_dtypes[c], c, new_dtypes[c], True) for c in join_columns]
+    uncompared = [ColumnPair.from_str(*pair) for pair in added + removed + joins]
+    return TabularDelta(
+        name,
+        info=info,
+        warnings=warnings,
+        _columns=column_changes + dtype_changes + ren_cols + uncompared,
+        _old_rows=old.shape[0],
+        _new_rows=new.shape[0],
+        _added_rows=new.shape[0] - joined.shape[0],
+        _removed_rows=old.shape[0] - joined.shape[0],
+        _equal_rows=equal_rows,
+        _unequal_rows=joined.shape[0] - equal_rows,
+        _example_added_rows=added_rows.to_dict(orient="records"),  # type: ignore
+        _example_removed_rows=removed_rows.to_dict(orient="records"),  # type: ignore
+    )
diff --git a/tabulardelta/comparators/sqlcompyre_comparator.py b/tabulardelta/comparators/sqlcompyre_comparator.py
new file mode 100644
index 0000000..4cd8f95
--- /dev/null
+++ b/tabulardelta/comparators/sqlcompyre_comparator.py
@@ -0,0 +1,254 @@
+# Copyright (c) QuantCo 2022-2024
+# SPDX-License-Identifier: LicenseRef-QuantCo
+
+
+from collections.abc import Callable
+from dataclasses import dataclass
+from typing import Any, TypeVar
+from warnings import warn
+
+import pandas as pd
+import sqlalchemy as sa
+import sqlcompyre as sc
+from sqlcompyre.analysis import TableComparison
+
+from tabulardelta.comparators.tabulardelta_dataclasses import (
+    ColumnPair,
+    TabularDelta,
+)
+
+
+@dataclass(frozen=True)
+class SqlCompyreComparator:
+    """Implements :class:`Comparator` protocol for comparing SQL Tables.
+
+    This is mostly a wrapper for SQLCompyre's table comparison.
+
+    Methods
+    -------
+    compare(self, old: sa.Table | str, new: sa.Table | str) -> TabularDelta:
+        Compare two SQL tables
+    """
+
+    engine: sa.Engine
+    """SQLAlchemy engine to connect to the database."""
+    join_columns: list[str] | None = None
+    """Columns to join the two tables on.
+
+    If None, SQLCompyre will try to infer them.
+    """
+    row_samples: int = 10
+    """Number of example rows to sample."""
+    value_samples: int = 50
+    """Number of example value changes to sample."""
+    float_precision: float = 1e-6
+    """Relative precision for comparing floats."""
+    warning_threshold: int = 10000
+    """Minimal number of rows to warn about when comparing tables."""
+
+    def compare(self, old: sa.Table | str, new: sa.Table | str) -> TabularDelta:
+        """Compare two SQL tables.
+
+        Arguments:
+            old :class:`sa.Table` | :class:`str`:
+                The old table (first table to compare).
+            new :class:`sa.Table` | :class:`str`:
+                The new table (second table to compare).
+
+        Returns :class:`TabularDelta`:
+            Metadata and results of the comparison.
+        """
+        try:
+            old, new = _sanitize_input(
+                self.engine, [old, new], self.join_columns or [], self.warning_threshold
+            )
+        except ValueError as e:
+            return TabularDelta.from_errors([str(e)])
+
+        def table_comparison(ignore_columns=None, renaming=None) -> TableComparison:
+            config = ignore_columns, renaming, self.float_precision, None, False, True
+            return sc.compare_tables(self.engine, old, new, self.join_columns, *config)
+
+        unfiltered_comp = table_comparison()
+        incomparable_cols = _incomparable_columns(unfiltered_comp)
+        mapping = _get_renames(unfiltered_comp)
+        comp = table_comparison(incomparable_cols, mapping)
+
+        comparable_cols = comp.column_matches.mismatch_selects.keys()
+        cols, rows = comp.column_names, comp.row_matches
+        left, right = comp.left_table, comp.right_table
+
+        removed = [(left.c[c], None) for c in cols.missing_right if c not in mapping]
+        added = [
+            (None, right.c[c]) for c in cols.missing_left if c not in mapping.values()
+        ]
+        join = [(left.c[c], right.c[c], True) for c in comp.join_columns]
+        uncompared = [ColumnPair.from_sqlalchemy(*c) for c in removed + added + join]
+        incomparable = [
+            _get_value_change(unfiltered_comp, name, False, self.value_samples)
+            for name in incomparable_cols
+        ]
+        comparable = [
+            _get_value_change(comp, n, True, self.value_samples)
+            for n in comparable_cols
+        ]
+        added_rows = _get_sample(self.engine, rows.unjoined_right, self.row_samples)
+        removed_rows = _get_sample(self.engine, rows.unjoined_left, self.row_samples)
+
+        return TabularDelta(
+            new if isinstance(new, str) else getattr(right.original, "name", ""),
+            old if isinstance(old, str) else getattr(left.original, "name", ""),
+            _columns=incomparable + comparable + uncompared,
+            _old_rows=comp.row_counts.left,
+            _new_rows=comp.row_counts.right,
+            _added_rows=comp.row_counts.right - rows.n_joined_total,
+            _removed_rows=comp.row_counts.left - rows.n_joined_total,
+            _equal_rows=rows.n_joined_equal,
+            _unequal_rows=rows.n_joined_total - rows.n_joined_equal,
+            _example_added_rows=added_rows,
+            _example_removed_rows=removed_rows,
+        )
+
+
+def _split_name(name: str) -> tuple[str | None, str]:
+    """Splits a name into (optional) schema and table name."""
+    split = [part[1:-1] if part[0] == "[" else part for part in name.rsplit(".")]
+    return (".".join(split[:-1]), ".".join(split)) if len(split) > 1 else (None, name)
+
+
+def _sanitize_input(
+    engine: sa.Engine,
+    tables: list[sa.Table | str],
+    cols: list[str],
+    warning_rows: int,
+) -> list[sa.Table]:
+    """Checks whether tables and join columns are present in the database. Warns if
+    tables are large.
+
+    Return SqlAlchemy Tables and supports table names in square brackets. Otherwise,
+    SqlCompyre would fail for table names in square brackets.
+    """
+    result = []
+    for table in tables:
+        if isinstance(table, str):
+            schema, table = _split_name(table)
+            meta = sa.MetaData()
+            try:
+                meta.reflect(bind=engine, schema=schema, views=True)
+            except sa.exc.OperationalError:
+                raise ValueError(f"Schema '{schema}' not found in database.")
+            if table not in meta.tables:
+                raise ValueError(f"Table '{table}' not found in database.")
+            table = meta.tables[table]
+
+        limited = sa.select(sa.literal(1)).select_from(table).limit(warning_rows)
+        with engine.connect() as conn:
+            count_query = sa.select(sa.func.count()).select_from(limited.subquery())
+            if conn.execute(count_query).scalar() == warning_rows:
+                print(f"Comparing over {warning_rows} rows. This may take a while.")
+
+            for col in cols:
+                try:
+                    conn.execute(sa.select(sa.column(col)).select_from(table).limit(0))
+                except sa.exc.ProgrammingError:
+                    raise ValueError(f"Column '{col}' missing in table '{table.name}'.")
+        result.append(table)
+    return result
+
+
+def _get_sample(engine: sa.Engine, query: sa.Select, limit=10) -> list[dict[str, Any]]:
+    """Get first rows from a query, each as mapping from column name to value."""
+    with engine.connect() as conn:
+        result = conn.execute(query.limit(limit))
+        return [dict(zip(result.keys(), row)) for row in result.all()]
+
+
+def _get_value_change(
+    tab_comp: TableComparison, name: str, comparable: bool = False, limit: int = 50
+) -> ColumnPair:
+    """Compare columns and ValueChange object with sample of changes.
+
+    Uses SqlCompyre Mismatch-Query if columns are comparable (handles floats correctly).
+    Uses direct join if incomparable, otherwise SqlCompyre would crash.
+    """
+    new_name = tab_comp.column_name_mapping.get(name, name)
+    old_name = name + ("_old" if new_name == name else "")
+    original_new = tab_comp.right_table.c[new_name]
+    original_old = tab_comp.left_table.c[name]
+    if comparable:
+        diffs: sa.FromClauseRole = tab_comp.column_matches.mismatch_selects[name]
+        cols = diffs.c
+        new_col = diffs.c[new_name + ("_1" if new_name == name else "")].label(new_name)
+    else:
+        cols = tab_comp.left_table.c
+        _join = [cols[c] == tab_comp.right_table.c[c] for c in tab_comp.join_columns]
+        diffs = tab_comp.left_table.join(tab_comp.right_table, sa.and_(*_join))
+        new_col = tab_comp.right_table.c[new_name]
+
+    count = sa.func.count("*").label("_count")
+    old_col = cols[name].label(old_name)
+    join_cols = [sa.func.min(cols[c]).label(c) for c in tab_comp.join_columns]
+    select = sa.select(new_col, old_col, count, *join_cols).select_from(diffs)
+    query = select.group_by(new_col, old_col).order_by(count.desc()).limit(limit)
+
+    total = min(tab_comp.row_counts.left, tab_comp.row_counts.right)
+    try:
+        with tab_comp.engine.connect() as conn:
+            total = conn.execute(sa.select(count).select_from(diffs)).scalar() or total
+        result = pd.read_sql(query, tab_comp.engine).astype("object")
+        result.loc[result.shape[0], "_count"] = total - result["_count"].sum()
+    except (sa.exc.ProgrammingError, sa.exc.DataError):
+        warn(f"Couldn't get value change for {name}.")
+        result = pd.DataFrame({old_name: None, new_name: None, "_count": [total]})
+    return ColumnPair.from_sqlalchemy(
+        original_old, original_new, False, not comparable, result
+    )
+
+
+T = TypeVar("T")
+
+
+def _sa_raises(func: Callable[..., T], *args, **kwargs) -> tuple[bool, T | None]:
+    """Check if a SqlAlchemy function raises an error, return result if not."""
+    try:
+        return False, func(*args, **kwargs)
+    except (sa.exc.ProgrammingError, sa.exc.DataError):
+        return True, None
+
+
+def _incomparable_columns(tab_comp: TableComparison) -> list[str]:
+    """Return column type changes and list of incomparable columns to ignore."""
+    in_common, get_changes = tab_comp.column_names.in_common, tab_comp.get_top_changes
+    return [n for n in in_common if _sa_raises(get_changes, n, n=1)[0]]
+
+
+def _columns_equal(
+    tab_comp: TableComparison, old_col_name: str, new_col_name: str
+) -> bool:
+    """Returns whether two columns are exactly equal."""
+    left, right = tab_comp.left_table, tab_comp.right_table
+    if type(left.c[old_col_name].type) is not type(right.c[new_col_name].type):  # noqa
+        return False
+    join = [left.c[col] == right.c[col] for col in tab_comp.join_columns]
+    join.append(left.c[old_col_name] != right.c[new_col_name])
+    query = sa.select("*").select_from(left.join(right, sa.and_(*join)))
+    with tab_comp.engine.connect() as conn:
+        error, result = _sa_raises(lambda: conn.execute(query).first())
+        return not error and result is None
+
+
+def _get_renames(tab_comp: TableComparison) -> dict[str, str]:
+    """Returns Renamed columns and one-to-one mapping for SqlCompyre.
+
+    Columns are only considered renamed if they are exactly equal.
+    """
+    only_old = set(tab_comp.column_names.missing_right)
+    only_new = set(tab_comp.column_names.missing_left)
+    renamed = {}
+    for l_col in only_old:
+        for r_col in only_new:
+            if _columns_equal(tab_comp, l_col, r_col):
+                renamed[l_col] = r_col
+                break
+        only_new.discard(renamed.get(l_col, ""))
+    return renamed
diff --git a/tabulardelta/comparators/sqlmetadata_comparator.py b/tabulardelta/comparators/sqlmetadata_comparator.py
new file mode 100644
index 0000000..96fc5a6
--- /dev/null
+++ b/tabulardelta/comparators/sqlmetadata_comparator.py
@@ -0,0 +1,196 @@
+# Copyright (c) QuantCo 2022-2024
+# SPDX-License-Identifier: LicenseRef-QuantCo
+
+
+from __future__ import annotations
+
+from collections import defaultdict
+from dataclasses import dataclass, field
+
+import sqlalchemy as sa
+
+from tabulardelta.comparators.tabulardelta_dataclasses import (
+    Column,
+    ColumnPair,
+    TabularDelta,
+)
+
+RowSelect = sa.Select[tuple[int, str, str]]
+ColumnSelect = sa.Select[tuple[str, str, str, str]]
+
+
+def get_mssql_metadata(db_name: str | None) -> tuple[RowSelect, ColumnSelect]:
+    """Implementation for retrieving metadata from a Microsoft SQL Server database.
+
+    Arguments:
+        db_name :class:`str` | :code:`None`:
+            Name of the database to retrieve metadata from.
+
+    Returns :class:`tuple[RowSelect, ColumnSelect]`:
+        SQL queries to retrieve row count and column information.
+    """
+    db_prefix = f"[{db_name}]." if db_name else ""
+    rows = sa.select(
+        sa.column("rows", sa.Integer),
+        sa.column("table", sa.String),
+        sa.column("schema", sa.String),
+    ).select_from(
+        sa.text(
+            f"(SELECT max(i.rowcnt) as rows, o.name as [table], s.name as [schema] FROM "
+            f"{db_prefix}sys.sysindexes i, {db_prefix}sys.objects o, {db_prefix}sys.schemas s "
+            "WHERE i.id = o.object_id AND o.schema_id = s.schema_id GROUP BY o.name, s.name) tmp"
+        )
+    )
+    columns = sa.select(
+        sa.column("COLUMN_NAME", sa.String).label("column"),
+        sa.column("DATA_TYPE", sa.String).label("type"),
+        sa.column("TABLE_NAME", sa.String).label("table"),
+        sa.column("TABLE_SCHEMA", sa.String).label("schema"),
+    ).select_from(sa.text(f"{db_prefix}INFORMATION_SCHEMA.COLUMNS"))
+    return rows, columns
+
+
+@dataclass(frozen=True)
+class _TableDescr:
+    """Represents a table in a database using database, schema and table name."""
+
+    db: str | None
+    schema: str | None
+    table: str
+
+    @staticmethod
+    def from_table(engine: sa.engine.base.Engine, table: sa.Table | str) -> _TableDescr:
+        # Get string from sa.Table
+        if not isinstance(table, str):
+            table = getattr(table, "original", table)
+            if not hasattr(table, "schema") or not hasattr(table, "name"):
+                raise ValueError("SqlAlchemy object does not have schema/table name.")
+            table = ".".join([part for part in [table.schema, table.name] if part])
+
+        # Get database, schema and table name from string
+        parts = [part[1:-1] if part[0] == "[" else part for part in table.split(".")]
+        if len(parts) == 1:
+            return _TableDescr(engine.url.database, None, table)
+        if len(parts) == 2:
+            return _TableDescr(engine.url.database, parts[0], parts[1])
+        if len(parts) == 3:
+            return _TableDescr(parts[0], parts[1], parts[2])
+        raise ValueError(
+            f"Table must be specified as '[[<db>.]<schema>.]<table>', not {table}."
+        )
+
+    def differing_names(self, other: _TableDescr) -> tuple[str, str]:
+        """Returns the names of both tables, disregards equal prefixes."""
+        self_parts = [self.db, self.schema, self.table]
+        other_parts = [other.db, other.schema, other.table]
+        for i, (old_part, new_part) in enumerate(zip(self_parts, other_parts)):
+            if old_part != new_part:
+                names = filter(None, self_parts[i:]), filter(None, other_parts[i:])
+                return ".".join(names[0]), ".".join(names[1])
+        return "", ""
+
+
+@dataclass
+class _TableMetadata:
+    """Stores row count and column information for a table."""
+
+    rows: int = 0
+    cols: dict[str, Column] = field(default_factory=dict)
+
+
+@dataclass
+class SqlMetadataComparator:
+    """Implements :class:`Comparator` protocol for comparing SQL Tables.
+
+    This will only use metadata from the database, to be as fast as possible.
+
+    Methods
+    -------
+    compare(self, old: sa.Table | str, new: sa.Table | str) -> TabularDelta:
+        Compare two SQL tables
+    """
+
+    engine: sa.Engine
+    """SQLAlchemy engine to connect to the database."""
+    cache_db_metadata: bool = False
+    """Whether to cache metadata for whole database to speed up comparisons."""
+    dialects = {"mssql": get_mssql_metadata}
+    """Dictionary of supported dialects and their metadata retrieval functions."""
+
+    _cache: dict[_TableDescr, _TableMetadata] = field(
+        default_factory=lambda: defaultdict(_TableMetadata)
+    )
+
+    def __post_init__(self):
+        """Check that the dialect is supported."""
+        if self.engine.dialect.name not in self.dialects:
+            raise ValueError(f"Unsupported dialect: {self.engine.dialect.name}")
+
+    def _cached_metadata(self, params: _TableDescr) -> _TableMetadata:
+        """Return metadata if cached, otherwise fetches metadata for whole database."""
+        if params in self._cache:
+            return self._cache[params]
+        Rows, Columns = self.dialects[self.engine.dialect.name](params.db)
+        with self.engine.connect() as conn:
+            for rows, table, schema in conn.execute(Rows).fetchall():
+                self._cache[_TableDescr(params.db, schema, table)].rows = rows
+            for name, dtype, table, schema in conn.execute(Columns).fetchall():
+                descr = _TableDescr(params.db, schema, table)
+                self._cache[descr].cols[name] = Column(name, dtype)
+            return self._cache[params]
+
+    @staticmethod
+    def _filter(query, table: str, schema: str | None):
+        """Where clause for queries to filter by table and optional schema."""
+        if schema is None:
+            return query.c["table"] == table
+        return (query.c["table"] == table) & (query.c["schema"] == schema)
+
+    def _uncached_metadata(self, params: _TableDescr) -> _TableMetadata:
+        """Fetches metadata for specific TableDescription."""
+        Rows, Columns = self.dialects[self.engine.dialect.name](params.db)
+        with self.engine.connect() as conn:
+            row_filter = self._filter(Rows, params.table, params.schema)
+            rows = conn.execute(sa.select(Rows.c["rows"]).where(row_filter)).scalar()
+            col_filter = self._filter(Columns, params.table, params.schema)
+            col_result = conn.execute(
+                sa.select(Columns.c["column"], Columns.c["type"]).where(col_filter)
+            ).fetchall()
+            if not isinstance(rows, int):
+                rows = 0
+            cols = {name: Column(name, dtype) for name, dtype in col_result}
+            return _TableMetadata(rows, cols)
+
+    def compare(self, old: sa.Table | str, new: sa.Table | str) -> TabularDelta:
+        """Compare two SQL tables.
+
+        Arguments:
+            old :class:`sa.Table` | :class:`str`:
+                The old table (first table to compare).
+            new :class:`sa.Table` | :class:`str`:
+                The new table (second table to compare).
+
+        Returns :class:`TabularDelta`:
+            Metadata and results of the comparison.
+        """
+        old_descr = _TableDescr.from_table(self.engine, old)
+        new_descr = _TableDescr.from_table(self.engine, new)
+
+        get_metadata = self._uncached_metadata
+        if self.cache_db_metadata:
+            get_metadata = self._cached_metadata
+        old_meta, new_meta = get_metadata(old_descr), get_metadata(new_descr)
+
+        cols: list[tuple[Column, Column | None] | tuple[None, Column]]
+        cols = [(old_meta.cols[n], new_meta.cols.get(n, None)) for n in old_meta.cols]
+        cols += [(None, c) for n, c in new_meta.cols.items() if n not in old_meta.cols]
+
+        return TabularDelta(
+            *old_descr.differing_names(new_descr),
+            warnings=["No value comparison, just metadata analysis."],
+            _columns=[ColumnPair(*col_pair) for col_pair in cols],
+            _old_rows=old_meta.rows,
+            _new_rows=new_meta.rows,
+            _added_rows=max(0, new_meta.rows - old_meta.rows),
+            _removed_rows=max(0, old_meta.rows - new_meta.rows),
+        )
diff --git a/tabulardelta/comparators/tabulardelta_dataclasses.py b/tabulardelta/comparators/tabulardelta_dataclasses.py
new file mode 100644
index 0000000..d0db0c0
--- /dev/null
+++ b/tabulardelta/comparators/tabulardelta_dataclasses.py
@@ -0,0 +1,420 @@
+# Copyright (c) QuantCo 2022-2024
+# SPDX-License-Identifier: LicenseRef-QuantCo
+
+
+from __future__ import annotations
+
+from collections.abc import Iterator
+from dataclasses import dataclass, field
+from functools import cached_property
+from typing import Any
+
+import pandas as pd
+
+try:
+    import sqlalchemy as sa
+except ImportError as e:
+    sa = f"SQLAlchemy not installed: {e}"  # type: ignore
+
+
+@dataclass(frozen=True)
+class Column:
+    """Implements the :class:`Column` protocol for TabularDelta.
+
+    Methods
+    -------
+
+    from_sqlalchemy(column: sa.sql.ColumnElement[Any]) -> Column:
+        Turns SQLAlchemy.Column into TabularDelta.Column
+    """
+
+    name: str
+    """Name of the column."""
+    type: str
+    """Data type of the column."""
+
+    @staticmethod
+    def from_sqlalchemy(column: sa.sql.ColumnElement[Any]) -> Column:
+        """Turns SQLAlchemy.Column into TabularDelta.Column.
+
+        Arguments:
+            column :class:`sa.sql.ColumnElement[Any]`:
+                SQLAlchemy column to be converted.
+
+        Results :class:`Column`:
+            TabularDelta column with according name and type.
+        """
+        return Column(column.name, str(column.type))
+
+
+@dataclass(frozen=True)
+class ChangedValue:
+    """Implements the :class:`ChangedValue` protocol for TabularDelta."""
+
+    example_join_columns: dict[str, Any]
+    """Mapping from column names to values represents an example row where this change
+    occurred."""
+    old: Any
+    """Previous value before the change."""
+    new: Any
+    """New value after the change."""
+    count: int
+    """(Positive) number of rows containing this change."""
+
+
+@dataclass
+class ColumnPair:
+    """Implements the :class:`MatchedColumn` and :class:`ChangedColumn` protocol for
+    TabularDelta.
+
+    Methods
+    -------
+    from_sqlalchemy(...) -> ColumnPair:
+        Creates TabularDelta.ColumnPair using SQLAlchemy columns
+    from_str(...) -> ColumnPair:
+        Creates TabularDelta.ColumnPair using column names and types
+    __len__() -> int
+        Total number of changes
+    __iter__() -> Iterator[ChangedValue]
+        Examples of value changes
+    """
+
+    _old: Column | None = None
+    """Metadata of column in the old table or None if column was added."""
+    _new: Column | None = None
+    """Metadata of column in the new table or None if column was removed."""
+    join: bool = False
+    """Whether column was used as join column for comparison."""
+    incomparable: bool = False
+    """Whether data types of column in old and new table are incomparable."""
+
+    _values: pd.DataFrame | None = None
+
+    @property
+    def old(self) -> Column:
+        """The column in the old table.
+
+        Fails if column was added.
+        """
+        if self._old is None:
+            raise ValueError("Old column does not exist.")
+        return self._old
+
+    @property
+    def new(self) -> Column:
+        """The column in the new table.
+
+        Fails if column was removed.
+        """
+        if self._new is None:
+            raise ValueError("New column does not exist.")
+        return self._new
+
+    def __iter__(self) -> Iterator[ChangedValue]:
+        """Examples of value changes."""
+        for idx, row in self._values.iterrows() if self._values is not None else []:
+            index = {k: v for k, v in row.to_dict().items() if k not in self._required}
+            yield ChangedValue(index, *[row[key] for key in self._required])
+
+    def __len__(self) -> int:
+        """Total number of changes."""
+        return self._values["_count"].sum() if self._values is not None else 0
+
+    @staticmethod
+    def from_sqlalchemy(
+        old: sa.sql.ColumnElement[Any] | None = None,
+        new: sa.sql.ColumnElement[Any] | None = None,
+        join: bool = False,
+        incomparable: bool = False,
+        _values: pd.DataFrame | None = None,
+    ) -> ColumnPair:
+        """Creates TabularDelta.ColumnPair using SQLAlchemy columns.
+
+        Arguments:
+            old :class:`sa.sql.ColumnElement[Any]` | :code:`None`:
+                Column in the old table or None if column was added.
+            new :class:`sa.sql.ColumnElement[Any]` | :code:`None`:
+                Column in the new table or None if column was removed.
+            join :class:`bool`:
+                Whether column was used as join column for comparison.
+            incomparable :class:`bool`:
+                Whether data types of column in old and new table are incomparable.
+            _values :class:`pd.DataFrame`:
+                DataFrame with examples of value changes.
+                Contains old column, new column, :code:`_count` column,
+                and optionally other columns for identifying example rows.
+
+        Returns :class:`ColumnPair`:
+            TabularDelta.ColumnPair with according metadata and values.
+        """
+        return ColumnPair(
+            Column.from_sqlalchemy(old) if old is not None else None,
+            Column.from_sqlalchemy(new) if new is not None else None,
+            join,
+            incomparable,
+            _values,
+        )
+
+    @staticmethod
+    def from_str(
+        old: str | None = None,
+        old_type: str | None = None,
+        new: str | None = None,
+        new_type: str | None = None,
+        join: bool = False,
+        incomparable: bool = False,
+        _values: pd.DataFrame | None = None,
+    ) -> ColumnPair:
+        """Creates TabularDelta.ColumnPair using column names and types.
+
+        Arguments:
+            old :class:`str` | :code:`None`:
+                Column name in the old table or None if column was added.
+            old_type :class:`str` | :code:`None`:
+                Column type in the old table or None if column was added.
+            new :class:`str` | :code:`None`:
+                Column name in the new table or None if column was removed.
+            new_type :class:`str` | :code:`None`:
+                Column type in the new table or None if column was removed.
+            join :class:`bool`:
+                Whether column was used as join column for comparison.
+            incomparable :class:`bool`:
+                Whether data types of column in old and new table are incomparable.
+            _values :class:`pd.DataFrame`:
+                DataFrame with examples of value changes.
+                Contains old column, new column, :code:`_count` column,
+                and optionally other columns for identifying example rows.
+                If the column wasn't renamed, the name of the old column in the DataFrame should
+                be suffixed by :code:`_old`.
+
+        Returns :class:`ColumnPair`:
+            TabularDelta.ColumnPair with according metadata and values.
+        """
+        return ColumnPair(
+            Column(old, old_type) if old and old_type else None,
+            Column(new, new_type) if new and new_type else None,
+            join,
+            incomparable,
+            _values,
+        )
+
+    @cached_property
+    def _df_old_name(self) -> str:
+        """Name of the old column in the DataFrame.
+
+        Suffixed with :code:`_old` if column wasn't renamed.
+        """
+        return self.old.name + ("_old" if self.old.name == self.new.name else "")
+
+    @cached_property
+    def _required(self) -> tuple[str, str, str]:
+        """Required columns in the DataFrame."""
+        return self._df_old_name, self.new.name, "_count"
+
+    def __post_init__(self):
+        """Check if DataFrame contains required columns and compactifies it."""
+        if self._values is None:
+            return
+
+        if missing := set(self._required) - set(self._values.columns):
+            raise ValueError(f"Missing columns in comparison: {missing}")
+
+        group_by_cols = [self._df_old_name, self.new.name]
+
+        # DIRTY FIX FOR PANDAS BUG: Categorical in GroupBy leads to
+        # ValueError: Length of values (5) does not match length of index (25)
+        for col in group_by_cols:
+            if self._values[col].dtype.name == "category":
+                self._values[col] = self._values[col].astype("object")
+
+        # Compactify dataframe by grouping equal changes together
+        groupby = self._values.groupby(group_by_cols, as_index=False, dropna=False)
+        join_cols = {c: (c, "first") for c in set(self._values) - set(self._required)}
+        agg = groupby.agg(_count=("_count", "sum"), **join_cols)  # type: ignore
+        sort = agg.sort_values(by="_count", ascending=False)
+        actual_changes = ~sort[self._df_old_name].isna() | ~sort[self.new.name].isna()
+        self._values = sort[actual_changes]
+
+
+@dataclass(frozen=True)
+class ColumnDelta:
+    """Implements the :class:`ColumnDelta` protocol."""
+
+    cols: list[ColumnPair]
+    """All (potentially matched) columns of both tables.
+
+    Unmatched columns have None on other side.
+    """
+
+    @cached_property
+    def old(self) -> list[Column]:
+        """Metadata of columns in the old table."""
+        return [col.old for col in self.cols if col._old]
+
+    @cached_property
+    def new(self) -> list[Column]:
+        """Metadata of columns in the new table."""
+        return [col.new for col in self.cols if col._new]
+
+    @cached_property
+    def added(self) -> list[Column]:
+        """Metadata of added columns (only in new table)."""
+        return [col.new for col in self.cols if col._new and not col._old]
+
+    @cached_property
+    def removed(self) -> list[Column]:
+        """Metadata of removed columns (only in old table)."""
+        return [col.old for col in self.cols if col._old and not col._new]
+
+    @cached_property
+    def joined(self) -> list[ColumnPair]:
+        """Columns used to join the old and new table."""
+        return [col for col in self.cols if col.join]
+
+    @cached_property
+    def matched(self) -> list[ColumnPair]:
+        """Matched columns (exist in both tables)."""
+        return [col for col in self.cols if col._old and col._new]
+
+    @cached_property
+    def renamed(self) -> list[ColumnPair]:
+        """Renamed columns (matched using values and types)."""
+        return [col for col in self.matched if col.old.name != col.new.name]
+
+    @cached_property
+    def _type_changed(self) -> list[ColumnPair]:
+        """Columns with changed data types."""
+        return [col for col in self.matched if col.old.type != col.new.type]
+
+    @cached_property
+    def comparable_type_changed(self) -> list[ColumnPair]:
+        """Columns with changed but comparable data types."""
+        return [col for col in self._type_changed if not col.incomparable]
+
+    @cached_property
+    def incomparable_type_changed(self) -> list[ColumnPair]:
+        """Columns with changed and incomparable data types."""
+        return [col for col in self._type_changed if col.incomparable]
+
+    @cached_property
+    def differences(self) -> list[ColumnPair]:
+        """Comparable column with changed values."""
+        return [col for col in self.cols if not col.incomparable and len(col) > 0]
+
+
+@dataclass
+class Rows:
+    """Implements the :class:`Rows` protocol."""
+
+    count: int
+    """Number of represented rows."""
+    examples: list[dict[str, Any]] | None
+    """Optional examples of represented rows."""
+
+    def __len__(self) -> int:
+        """Number of represented rows."""
+        return self.count
+
+    def __iter__(self) -> Iterator[dict[str, Any]]:
+        """Examples of represented rows."""
+        return iter(self.examples or [])
+
+
+@dataclass(frozen=True)
+class RowDelta:
+    """Implements the :class:`RowDelta` protocol."""
+
+    old: Rows
+    """Rows in the old table."""
+    new: Rows
+    """Rows in the new table."""
+    added: Rows
+    """Added rows (only in new table)."""
+    removed: Rows
+    """Removed rows (only in old table)."""
+    equal: Rows
+    """Equal rows (joined and all columns unchanged)."""
+    unequal: Rows
+    """Unequal rows (joined but at least one column changed)."""
+
+
+@dataclass(frozen=True)
+class TabularDelta:
+    """Implements the :class:`TabularDelta` protocol.
+
+    Methods
+    -------
+
+    from_errors(errors: list[str], name: str = "") -> TabularDelta:
+        Default TabularDelta containing errors
+    """
+
+    name: str = ""
+    """Name of the new table and therefore the comparison."""
+    old_name: str | None = None
+    """Optional name of the old table."""
+    info: list[str] = field(default_factory=list)
+    """Additional information collected during the comparison."""
+    warnings: list[str] = field(default_factory=list)
+    """Warnings collected during the comparison."""
+    errors: list[str] = field(default_factory=list)
+    """Errors collected during the comparison."""
+
+    _columns: list[ColumnPair] = field(default_factory=list)
+    """All (potentially matched) columns of both tables.
+
+    Unmatched columns have None on other side.
+    """
+
+    _old_rows: int = 0
+    """Number of rows in the old table."""
+    _new_rows: int = 0
+    """Number of rows in the new table."""
+    _added_rows: int = 0
+    """Number of added rows (only in new table)."""
+    _removed_rows: int = 0
+    """Number of removed rows (only in old table)."""
+    _equal_rows: int = 0
+    """Number of equal rows (joined and all columns unchanged)."""
+    _unequal_rows: int = 0
+    """Number of unequal rows (joined but at least one column changed)."""
+    _example_added_rows: list[dict[str, Any]] = field(default_factory=list)
+    """Optional examples of added rows (only in new table)."""
+    _example_removed_rows: list[dict[str, Any]] = field(default_factory=list)
+    """Optional examples of removed rows (only in old table)."""
+    _example_equal_rows: list[dict[str, Any]] = field(default_factory=list)
+    """Optional examples of equal rows (joined and all columns unchanged)."""
+    _example_unequal_rows: list[dict[str, Any]] = field(default_factory=list)
+    """Optional examples of unequal rows (joined but at least one column changed)."""
+
+    @cached_property
+    def cols(self) -> ColumnDelta:
+        """Returns :class:`ColumnDelta` implementation."""
+        return ColumnDelta(self._columns)
+
+    @cached_property
+    def rows(self) -> RowDelta:
+        """Returns :class:`RowDelta` implementation."""
+        return RowDelta(
+            Rows(self._old_rows, None),
+            Rows(self._new_rows, None),
+            Rows(self._added_rows, self._example_added_rows),
+            Rows(self._removed_rows, self._example_removed_rows),
+            Rows(self._equal_rows, self._example_equal_rows),
+            Rows(self._unequal_rows, self._example_unequal_rows),
+        )
+
+    @staticmethod
+    def from_errors(errors: list[str], name: str = "") -> TabularDelta:
+        """Creates default TabularDelta object with errors.
+
+        Arguments:
+            errors :class:`list[str]`:
+                List of error messages.
+            name :class:`str`:
+                Name of the table.
+
+        Returns :class:`TabularDelta`:
+            TabularDelta object containing errors.
+        """
+        return TabularDelta(name=name, errors=errors)
diff --git a/tabulardelta/formatters/__init__.py b/tabulardelta/formatters/__init__.py
new file mode 100644
index 0000000..e1e8b31
--- /dev/null
+++ b/tabulardelta/formatters/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) QuantCo 2022-2024
+# SPDX-License-Identifier: LicenseRef-QuantCo
diff --git a/tabulardelta/formatters/detailed_text_formatter.py b/tabulardelta/formatters/detailed_text_formatter.py
new file mode 100644
index 0000000..ad889f9
--- /dev/null
+++ b/tabulardelta/formatters/detailed_text_formatter.py
@@ -0,0 +1,279 @@
+# Copyright (c) QuantCo 2022-2024
+# SPDX-License-Identifier: LicenseRef-QuantCo
+
+
+from __future__ import annotations
+
+from collections.abc import Iterable, Mapping
+from dataclasses import dataclass
+from typing import Any
+
+import numpy as np
+
+from tabulardelta.formatters.tabulartext.cell import Align, Cell
+from tabulardelta.formatters.tabulartext.table import Border, Table
+from tabulardelta.tabulardelta import (
+    ChangedColumn,
+    Column,
+    MatchedColumn,
+    TabularDelta,
+)
+
+ColType = Column | MatchedColumn
+
+
+def _descr_border(top: bool, bottom: bool) -> Border:
+    """Creates horizontal hyphen-borders, top and bottom are optional."""
+    t, b = "-" * top, "-" * bottom
+    return Border(f" {t}, {t},, {t},, -,,,, -,,,, -,, {b},, {b}, {b}")
+
+
+@dataclass(frozen=True)
+class DetailedTextFormatter:
+    """Implements :class:`Formatter` protocol for detailed report of single comparison.
+
+    Tries to show as much information as possible, without overwhelming the user.
+
+    Methods
+    -------
+    format(delta: TabularDelta) -> str:
+        Formats comparison result
+    """
+
+    errors = True
+    """Whether to show errors in the report."""
+    warnings = True
+    """Whether to show warnings in the report."""
+    infos = True
+    """Whether to show additional information in the report."""
+    column_changes = True
+    """Whether to show column and type changes in the report."""
+    row_overview = True
+    """Whether to show graphical row matching in the report."""
+    value_changes = 5
+    """How many value changes per column to show in the report.
+
+    0 to disable.
+    """
+    row_examples = 3
+    """How many examples per row category to show in the report.
+
+    0 to disable.
+    """
+
+    def format(self, delta: TabularDelta) -> str:
+        """Formats comparison result.
+
+        Arguments:
+            delta :class:`TabularDelta`:
+                Metadata and result of a comparison.
+
+        Returns :class:`str`:
+            Detailed comparison report.
+        """
+        name = (f"{delta.old_name} -> " if delta.old_name else "") + delta.name
+        result: list[list[Any]] = [
+            [Cell([f" TabularDelta Report: {name} "], Align.MidCenter("-"))],
+            *[[f"ERROR: {error}"] for error in delta.errors if self.errors],
+            *[[f"WARNING: {warning}"] for warning in delta.warnings if self.warnings],
+            *[[f"INFO: {info}"] for info in delta.info if self.infos],
+            [f"Joined on {[c.new.name for c in delta.cols.joined] or 'index'}."],
+        ]
+
+        if self.column_changes:
+            col_changes: list[tuple[str, Any]] = [
+                ("Added columns", delta.cols.added),
+                ("Removed columns", delta.cols.removed),
+                ("Renamed columns", delta.cols.renamed),
+                ("Comparable type changes", delta.cols.comparable_type_changed),
+            ]
+            result.extend(
+                [_show_cols(name, cols)] for name, cols in col_changes if cols
+            )
+
+            incomparable = delta.cols.incomparable_type_changed
+            for chg in incomparable:
+                left = _show_cols("INCOMPARABLE type change", [chg])
+                row = [left, Cell(["  "]), _show_values(chg, len(left.content))]
+                result.append([Table([row], Border.Nothing)])
+
+            if not any([cols for _, cols in col_changes] + [incomparable]):
+                result.append(["All columns and types are identical."])
+
+        if self.row_overview:
+            result.append([_show_rows(delta)])
+
+        if self.value_changes > 0:
+            for chg in delta.cols.differences:
+                result.append([_show_values(chg, self.value_changes + 3, True)])
+
+        result.append(_example_rows("ADDED", delta.rows.added, self.row_examples))
+        result.append(_example_rows("REMOVED", delta.rows.removed, self.row_examples))
+
+        return str(Table.from_lists(result, Border.InnerGap))
+
+
+def _example_rows(
+    name: str, rows: Iterable[Mapping[str, Any]], limit: int
+) -> list[str]:
+    """Returns example rows as line-separated strings.
+
+    > example_rows("ADDED", [{"id": 3, "data": 13}, {"id": 4, "data": 15}], 3)
+    ADDED ROWS EXAMPLES:
+    id|data
+    3 | 13
+    4 | 15
+    """
+    result: list[list[Any]] = []
+    for idx, row in enumerate(rows):
+        if idx == limit:
+            break
+        if not result:
+            result.append(list(row.keys()))
+        result.append(list(row.values()))
+    if result:
+        border = Border(",,,, │,,,,,,,,,,,,,,")
+        header = f"{name} ROWS EXAMPLES:\n"
+        return [header + Table.from_lists(result, border).to_string()]
+    return []
+
+
+def _standardize_col_data(col: ColType) -> list[str]:
+    """Formats column[-changes] in readable way.
+
+    list('old_name [→ new_name]', '(old_type[→ new_type])')
+    """
+
+    if hasattr(col, "name") and hasattr(col, "type"):
+        return [col.name, f"({col.type})"]
+    name_change = f" → {col.new.name}" if col.old.name != col.new.name else ""
+    type_change = f" → {col.new.type}" if col.old.type != col.new.type else ""
+    return [col.old.name + name_change, f"({col.old.type + type_change})"]
+
+
+def _show_cols(name: str, cols: list[ColType], max_width: int = 80) -> Cell:
+    """Shows columns nicely visualized, or listed in columns if too wide.
+
+    ExampleName:
+    ┏━━━━━━━┯━━━━━━━┓             ExampleName:
+    ┃ col1  │ col2  ┃             VeryLongColumnName (VeryLongType)
+    ┃ type1 │ type2 ┃             col1 (type1)     col2 (type2)
+    ┣━━━━━━━┿━━━━━━━┫             col3 (type3)     col4 (type4)
+    """
+    if not cols:
+        return Cell()
+    strs = [_standardize_col_data(col) for col in cols]
+
+    if sum(len(s) for x in strs for s in x) <= max_width:
+        # Print detailed table if not too wide:
+        border = Border(" ┏, ━, ┯, ┓, │,,,, ┃,, ┃,,,,, ┣, ┷, ━, ┫")
+        table = Table.from_lists([strs], border)
+    else:
+        # Otherwise list cells: Long cells at the top, short cells in two columns below
+        flat = [" ".join(col) for col in strs]
+        long = [[Cell([col], colspan=3)] for col in flat if len(col) > max_width // 2]
+        short = [Cell([col]) for col in flat if len(col) <= max_width // 2] + [Cell()]
+        split = [[short[i], "   ", short[i + 1]] for i in range(0, len(short) - 1, 2)]
+        table = Table.from_lists(long + split, Border.Nothing)
+    return Cell([f"{name}:"] + table.lines())
+
+
+def _show_values(chg: ChangedColumn, max_height=10, header: bool = False) -> Cell:
+    """
+    Show value changes of columns:
+         id_old ─►  id_new example_name
+    (5x)      0 ─►     0.0        Alice
+    (2x)      1 ─►     1.0          Bob
+              2 ─►     2.0      Charlie
+    ...6 other differences
+    """
+    old, new, total = chg.old.name, chg.new.name, len(chg)
+    result: list[list[Cell] | list[str]] = []
+    indices = []
+    for row, idx in zip(chg, range(1 + header, max_height)):
+        if not result:
+            indices = sorted(list(row.example_join_columns))
+            if header:
+                content = [f"Column {new} - {total} rows changed:"]
+                result.append([Cell(content, colspan=5 + len(indices))])
+            result.append(["", "", old, "→", new] + [f"example_{i}" for i in indices])
+        if idx == max_height - 1 and total > row.count:
+            break  # max_height will not suffice to print all changes
+        content = ["    ", f"({row.count}x)" * (row.count > 1), row.old, "→", row.new]
+        result.append(content + [row.example_join_columns[ex] for ex in indices])
+        total -= row.count
+    if total > 0:
+        content = [f"...{total} other differences"]
+        result.append([Cell(content, colspan=5 + len(indices))])
+    return Cell(Table.from_lists(result, Border.VerticalGap).lines())
+
+
+def _show_rows(delta: TabularDelta) -> Table:
+    """Row overview is created as a table of tables (without outer borders):
+
+    header_old_rows   header_new_rows
+    ┏━━━━━━━━━━━━┯━━━━┯━━━━━━━━━━━━┯━━━━━━━━━━━━━┯━━━━━━━━━━━━━━━┓
+    ┃    Old     │    │    New     │             │               ┃
+    ┃ 1557572484 │    │ 1557247374 │             │               ┃
+    ┠───────────┬┴────┴───────────┬┴─────────────┼───────────────┨
+    ┃ ┏━┯━┯━┯━┓ │    "spacer"     │  325116      │               ┃
+    ┃ ┃-│-│-│-┃ │                 │  removed     │               ┃
+    ┃ ┃-│-│-│-┃ ├─────┬───────────┤ ------------ ├───────────────┨
+    ┃ ┠─┼─┼─┼─┨ │ ╌╌╌ │ ┏━┯━┯━┯━┓ │              │               ┃
+    ┃ ┃ │ │ │ ┃ │  =  │ ┃ │ │ │ ┃ │  44605       │               ┃
+    ┃ ┃ │ │ │ ┃ │  =  │ ┃ │ │ │ ┃ │  identical   │               ┃
+    ┃ ┠─┼─┼─┼─┨ │ ╌╌╌ │ ┠─┼─┼─┼─┨ │ ------------ │ ╶╮            ┃
+    ┃ ┃ │ │ │ ┃ │  ≠  │ ┃ │ │ │ ┃ │              │  │            ┃
+    ┃ ┃ │ │ │ ┃ │  ≠  │ ┃ │ │ │ ┃ │  1557120961  │  │            ┃
+    ┃ ┃ │ │ │ ┃ │  ≠  │ ┃ │ │ │ ┃ │  changed     │  │ 1557202763 ┃
+    ┃ ┃ │ │ │ ┃ │  ≠  │ ┃ │ │ │ ┃ │              │  ├╴rows       ┃
+    ┃ ┠─┼─┼─┼─┨ │ ╌╌╌ │ ┠─┼─┼─┼─┨ │ ------------ │  │ joined     ┃
+    ┃ ┃?│?│?│?┃ │  ?  │ ┃?│?│?│?┃ │  81802       │  │            ┃
+    ┃ ┃?│?│?│?┃ │  ?  │ ┃?│?│?│?┃ │  unknown     │  │            ┃
+    ┃ ┗━┷━┷━┷━┛ │ ╌╌╌ │ ┠─┼─┼─┼─┨ │ ------------ │ ╶╯            ┃
+    ┃           │     │ ┃+│+│+│+┃ │  6 added     │               ┃
+    ┃           │     │ ┗━┷━┷━┷━┛ │              │               ┃
+    ┗━━━━━━━━━━━┷━━━━━┷━━━━━━━━━━━┷━━━━━━━━━━━━━━┷━━━━━━━━━━━━━━━┛
+        left    middle    right        text          join
+    """
+    # rows: [removed, equal, unequal, unknown, added]
+    rows = [
+        len(delta.rows.removed),
+        len(delta.rows.equal),
+        len(delta.rows.unequal),
+        len(delta.rows.added),
+    ]
+    rows.insert(3, len(delta.rows.old) - sum(rows[0:3]))  # unknown rows
+    heights = [int(np.log10(1000 * count + 1)) // 3 for count in rows]
+
+    inner_cells = [[[c] * h] * 4 * bool(h) for h, c in zip(heights, "-  ?+")]
+    left = Table.from_lists(inner_cells[:-1]).lines()
+    right = Table.from_lists(inner_cells[1:]).lines()
+
+    middle_cells = [[[c] * h] for h, c in zip(heights[1:], "=≠? ") if h or c == " "]
+    middle_border = Border(" ╌, ╌,, ╌,, ╌,,,, ╌,,,, ╌,,,,,")
+    middle = Table.from_lists(middle_cells, middle_border).lines()
+
+    text_data = zip(rows, "removed identical changed unknown added".split())
+    texts = [[str(n), t] if n > 999 else [f"{n} {t}"] for n, t in text_data]
+    text_cells = [[[""] * h, t] for h, t in zip(heights, texts) if h]
+    text_table = Table.from_lists(text_cells, _descr_border(not rows[0], not rows[4]))
+    text = text_table.lines()
+
+    join_height = heights[1] + heights[2] + bool(heights[1]) + bool(heights[2]) + 1
+    bracket = [" │"] * join_height
+    bracket[0], bracket[(join_height - 1) // 2], bracket[-1] = "╶╮", " ├╴", "╶╯"
+    join_descr = Cell([str(sum(rows[1:3])), "rows", "joined"], Align.MidLeft())
+    join_segs = [[bracket, join_descr]] if join_height > 1 else []
+    join = Table.from_lists(join_segs, Border.Nothing).lines()
+
+    header_old_rows = Cell(["Old", str(len(delta.rows.old))], Align.MidCenter(), 2)
+    header_new_rows = Cell(["New", str(len(delta.rows.new))], Align.MidCenter(), 2)
+    spacer = Cell(["\n" * heights[0]] if heights[0] else [], colspan=3)
+    content: list[list[Cell]] = [
+        [header_old_rows, Cell([" "]), header_new_rows],
+        [Cell(left, rowspan=2), spacer, Cell(text, rowspan=2, colspan=2)],
+        [Cell(middle, colspan=2), Cell(right), Cell(join)],
+    ]
+
+    return Table(content, Border.Nothing)
diff --git a/tabulardelta/formatters/formatter.py b/tabulardelta/formatters/formatter.py
new file mode 100644
index 0000000..7661b33
--- /dev/null
+++ b/tabulardelta/formatters/formatter.py
@@ -0,0 +1,33 @@
+# Copyright (c) QuantCo 2022-2024
+# SPDX-License-Identifier: LicenseRef-QuantCo
+
+
+from typing import Protocol, TypeVar
+
+from tabulardelta.tabulardelta import TabularDelta
+
+T = TypeVar("T", covariant=True)
+
+
+class Formatter(Protocol[T]):
+    """Protocol for offering visualizations or further analyses for TabularDelta.
+
+    Ensures compatibility with all :class:`Comparator` implementations.
+
+    Methods
+    -------
+    format(delta: TabularDelta) -> T:
+        Formats comparison result
+    """
+
+    def format(self, delta: TabularDelta) -> T:
+        """Formats comparison result.
+
+        Arguments:
+            delta :class:`TabularDelta`:
+                Metadata and result of a comparison.
+
+        Returns :class:`T`:
+            Arbitrary output. Usually strings visualizing the comparison.
+        """
+        ...
diff --git a/tabulardelta/formatters/overview_row_formatter.py b/tabulardelta/formatters/overview_row_formatter.py
new file mode 100644
index 0000000..fc96e85
--- /dev/null
+++ b/tabulardelta/formatters/overview_row_formatter.py
@@ -0,0 +1,319 @@
+# Copyright (c) QuantCo 2022-2024
+# SPDX-License-Identifier: LicenseRef-QuantCo
+
+
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+from typing import Any, Protocol
+
+from tabulardelta.formatters.tabulartext.cell import Cell
+from tabulardelta.formatters.tabulartext.table import Border, Table
+from tabulardelta.tabulardelta import TabularDelta
+
+
+def _shrink(s: int) -> str:
+    sub = str.maketrans("0123456789", "₀₁₂₃₄₅₆₇₈₉")
+    return "" if s == 0 else f"{s:,}".translate(sub)
+
+
+def _shorten(s: str, max_len: int = 30) -> str:
+    if len(s) > max_len:
+        return s[: max_len - 1] + "…"
+    return s
+
+
+class Row(Protocol):
+    """Protocol defining how to retrieve data from a row.
+
+    Methods
+    -------
+    get_cells() -> list[Cell | str]:
+        Retrieve cells from the row
+    """
+
+    def get_cells(self) -> list[Cell | str]:
+        """Retrieve cells from the row.
+
+        Returns :class:`list[Cell | str]`:
+            Returns cells such that they can be casted using :meth:`tabulartext.Table.from_lists`.
+        """
+        ...
+
+
+@dataclass(frozen=True)
+class Header(Row):
+    """Header added by :meth:`OverviewRowFormatter.add_header`.
+
+    Methods
+    -------
+    get_cells() -> list[Cell | str]:
+        Retrieve cells from the row
+    """
+
+    title: str
+    """Title of the header."""
+
+    def get_cells(self) -> list[Cell | str]:
+        title = Cell([_shorten(self.title)], colspan=2)
+        return [title] + "ROWS = ≠ + - ? COLUMNS + - ≠ Δ t".split()
+
+
+@dataclass(frozen=True)
+class Single(Row):
+    """Row with single cell added by :meth:`OverviewRowFormatter.add_str`.
+
+    Methods
+    -------
+    get_cells() -> list[Cell | str]:
+        Retrieve cells from the row
+    """
+
+    content: str = ""
+    """Content of the row."""
+
+    def get_cells(self) -> list[Cell | str]:
+        return [Cell([self.content], colspan=14)]
+
+
+@dataclass(frozen=True)
+class Triple(Row):
+    """Row with three cells added by :meth:`OverviewRowFormatter.add_legend`.
+
+    Methods
+    -------
+    get_cells() -> list[Cell | str]:
+        Retrieve cells from the row
+    """
+
+    name: str = ""
+    """Content for char and name columns."""
+    rows: str = ""
+    """Content for row-changes columns."""
+    cols: str = ""
+    """Content for column-changes columns."""
+
+    def get_cells(self) -> list[Cell | str]:
+        return [
+            Cell([self.name], colspan=2),
+            Cell([self.rows], colspan=6),
+            Cell([self.cols], colspan=6),
+        ]
+
+
+@dataclass(frozen=True)
+class Content(Row):
+    """Row with comparison data added by :meth:`OverviewRowFormatter.format` or
+    :meth:`OverviewRowFormatter.add_row`.
+
+    Methods
+    -------
+    get_cells() -> list[Cell | str]:
+        Retrieve cells from the row
+    """
+
+    state_char: str = ""
+    """One-char summary of comparison."""
+    name: str = ""
+    """Name of the table."""
+    rows: int = 0
+    """Number of rows in the new table."""
+    equal_rows: int = 0
+    """Number of matched and equal rows."""
+    unequal_rows: int = 0
+    """Number of matched but unequal rows."""
+    added_rows: int = 0
+    """Number of added rows (not in old table)."""
+    removed_rows: int = 0
+    """Number of removed rows (not in new table)."""
+    unknown_rows: int = 0
+    """Number of rows with unknown state."""
+    cols: int = 0
+    """Number of columns in the new table."""
+    added_cols: int = 0
+    """Number of added columns (not in old table)."""
+    removed_cols: int = 0
+    """Number of removed columns (not in new table)."""
+    value_changed_cols: int = 0
+    """Number of columns with changed values."""
+    name_changed_cols: int = 0
+    """Number of columns with changed names."""
+    type_changed_cols: int = 0
+    """Number of columns with changed types."""
+
+    def get_cells(self) -> list[Cell | str]:
+        strs = ["state_char", "name"]
+        big = ["rows", "cols"]
+        return [
+            _shorten(v) if k in strs else f"{v:,}" if k in big else _shrink(v)
+            for k, v in self.__dict__.items()
+        ]
+
+
+@dataclass
+class OverviewRowFormatter:
+    """Implements :class:`Formatter` protocol for combining multiple comparisons.
+
+    This formatter is stateful to accumulate TabularDelta comparisons as rows.
+
+
+
+    Additional rows can be added using add_str, add_row, add_header, and add_legend.
+    Call table() to retrieve the table, which by default resets the state of the
+    formatter.
+
+    Methods
+    -------
+    format(delta: TabularDelta) -> None:
+        Stores comparison as row in internal state
+    add_header(title: str = "  TABLE") -> None:
+        Add header row to internal state
+    add_legend() -> None:
+        Add legend as rows to internal state
+    add_str(row: str) -> None:
+        Add string as row to internal state
+    add_row(char: str, name: str, rows: int, cols: int) -> None:
+        Manually add table as row to internal state
+    table(keep_state: bool = False) -> str:
+        Retrieve report from internal state
+    """
+
+    warnings: bool = True
+    """Whether to show warnings in the report."""
+    errors: bool = True
+    """Whether to show errors in the report."""
+
+    state: list[Row] = field(default_factory=list)
+    """Internal state of the formatter.
+
+    May be used to do custom modifications/analyses. May change.
+    """
+
+    def format(self, delta: TabularDelta) -> None:
+        """Stores comparison as row in internal state.
+
+        Arguments:
+            delta :class:`TabularDelta`:
+                Metadata and result of a comparison.
+
+        Returns :code:`None`:
+            No return value. Use :meth:`table` to retrieve report.
+        """
+        if delta.errors:
+            if self.errors:
+                self.state.append(Content("⚠", delta.name))
+                self.state.extend([Single(f"    ERROR {err}") for err in delta.errors])
+            return
+
+        values: list[Any] = [
+            len(delta.rows.new),
+            len(delta.rows.equal),
+            len(delta.rows.unequal),
+            len(delta.rows.added),
+            len(delta.rows.removed),
+            len(delta.cols.new),
+            len(delta.cols.added),
+            len(delta.cols.removed),
+            len(delta.cols.differences),
+            len(delta.cols.renamed),
+            len(delta.cols.comparable_type_changed)
+            + len(delta.cols.incomparable_type_changed),
+        ]
+        values.insert(5, values[0] - sum(values[1:4]))  # unknown rows
+        char = "≠" if any(values[2:5] + values[7:12]) else ("?" if values[5] else "")
+        self.state.append(Content(char, delta.name, *values))
+
+        if self.warnings:
+            self.state.extend(Single(f"    WARNING {warn}") for warn in delta.warnings)
+
+    def add_header(self, title: str = "  TABLE") -> None:
+        """Add header row to internal state.
+
+        This should be called at least once in the beginning.
+
+        Use this method with the optional title, to separate different chunks of comparisons.
+
+        Arguments:
+            title :class:`str`:
+                Title describing the following tables.
+
+        Returns :code:`None`:
+            No return value. Use :meth:`table` to retrieve report.
+        """
+        self.state.append(Header(title))
+
+    def add_legend(self) -> None:
+        """Add legend as rows to internal state.
+
+        This should be called in the end, if the users aren't familiar with the column meanings.
+
+        Returns :code:`None`:
+            No return value. Use :meth:`table` to retrieve report.
+        """
+        legend = [
+            Single(),
+            Single("LEGEND"),
+            Triple("  equal", "ROW COUNT", "COLUMN COUNT"),
+            Triple("+ added", "= joined and identical", "+ added"),
+            Triple("- removed", "≠ joined but different", "- removed"),
+            Triple("≠ unequal", "+ added", "≠ values differ"),
+            Triple("? unknown", "- removed", "Δ renamed"),
+            Triple("⚠ error occurred", "? uncompared", "t type changed"),
+        ]
+        self.state.extend(legend)
+
+    def add_str(self, row: str) -> None:
+        """Add string as row to internal state.
+
+        This can be used to customize the report with additional information.
+
+        Arguments:
+            row :class:`str`:
+                Content of the row.
+
+        Returns :code:`None`:
+            No return value. Use :meth:`table` to retrieve report.
+        """
+        self.state.append(Single(row))
+
+    def add_row(self, char: str, name: str, rows: int, cols: int) -> None:
+        """Manually add table as row to internal state.
+
+        This is especially helpful for including added or removed tables.
+
+        :code:`add_row("+", "table", 10, 5)` will result in
+
+        .. code-block:: none
+
+              TABLE  ROWS  COLUMNS
+            + table  10    5
+
+        Arguments:
+            char :class:`str`:
+                One-char summary of comparison, please refer to the legend.
+            name :class:`str`:
+                Name of the table.
+            rows :class:`int`:
+                Number of rows in the table.
+            cols :class:`int`:
+                Number of columns in the table.
+
+        Returns :code:`None`:
+            No return value. Use :meth:`table` to retrieve report.
+        """
+        self.state.append(Content(char, name, rows, cols=cols))
+
+    def table(self, keep_state: bool = False) -> str:
+        """Retrieve report from internal state.
+
+        Arguments:
+            keep_state :class:`bool`:
+                Whether to keep the internal state or clean it up.
+
+        Returns :class:`str`:
+            Table combining comparisons as rows.
+        """
+        content = [row.get_cells() for row in self.state]
+        if not keep_state:
+            self.state = []
+        return str(Table.from_lists(content, Border.VerticalGap))
diff --git a/tabulardelta/formatters/tabulartext/__init__.py b/tabulardelta/formatters/tabulartext/__init__.py
new file mode 100644
index 0000000..7658b10
--- /dev/null
+++ b/tabulardelta/formatters/tabulartext/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) QuantCo 2024-2024
+# SPDX-License-Identifier: LicenseRef-QuantCo
diff --git a/tabulardelta/formatters/tabulartext/cell.py b/tabulardelta/formatters/tabulartext/cell.py
new file mode 100644
index 0000000..de17fe3
--- /dev/null
+++ b/tabulardelta/formatters/tabulartext/cell.py
@@ -0,0 +1,160 @@
+# Copyright (c) QuantCo 2024-2024
+# SPDX-License-Identifier: LicenseRef-QuantCo
+
+from __future__ import annotations
+
+from collections.abc import Callable
+from dataclasses import dataclass, field
+from itertools import cycle, islice
+from typing import ClassVar, Protocol
+
+
+class Aligner(Protocol):
+    """Aligner is a protocol for aligning existing cell content within a larger target
+    size.
+
+    Arguments:
+        content :class:`list[str]`:
+            Original cell content to be aligned.
+        width :class:`int`:
+            Target width of cell content, not smaller than length of any line in the original content.
+        height :class:`int`:
+            Target height of cell content, not smaller than number of lines of the original content.
+
+    Returns :class:`list[str]`:
+        Cell content with `height` number of lines, each with length `width`.
+
+    Methods
+    -------
+
+    __call__(self, content: list[str], width: int, height: int) -> list[str]:
+        Resize cell content to a target size.
+    """
+
+    def __call__(self, content: list[str], width: int, height: int) -> list[str]: ...
+
+
+@dataclass(frozen=True)
+class Align:
+    """Implementation of :class:`Aligner`, for aligning cell content given a target
+    size.
+
+    Offers out-of-the-box alignment styles as class attributes:
+        :attr:`TopLeft`, :attr:`MidLeft`, :attr:`MidCenter`, and :attr:`Repeat`.
+
+        Each can be customized with an optional fill character (see :class:`AlignOptionalChar`).
+
+    Implement :attr:`vertical` and :attr:`horizontal` for specialized alignment styles.
+
+    Methods
+    -------
+    __call__(self, content: list[str], width: int, height: int) -> list[str]:
+        Implements :class:`Aligner`
+    """
+
+    TopLeft: ClassVar[AlignOptionalChar]
+    """:class:`AlignOptionalChar` that aligns content towards the top left."""
+    MidLeft: ClassVar[AlignOptionalChar]
+    """:class:`AlignOptionalChar` that aligns content to the left, but vertically
+    centered."""
+    MidCenter: ClassVar[AlignOptionalChar]
+    """:class:`AlignOptionalChar` that aligns content in the middle."""
+    Repeat: ClassVar[AlignOptionalChar]
+    """:class:`AlignOptionalChar` that repeats the content through the cells."""
+
+    vertical: Callable[[list[str], int], list[str]]
+    """Callable adding lines to the cell content to reach the given height."""
+    horizontal: Callable[[str, int], str]
+    """Callable adding characters to a line to reach the given width."""
+
+    class AlignOptionalChar(Protocol):
+        """Protocol for customizing out-of-the-box alignments with an optional fill
+        character.
+
+        Arguments:
+            char :class:`str`:
+                Optional fill character for the alignment. Default is a space.
+
+        Returns :class:`Align`:
+            An Aligner with the specified fill character.
+
+        Methods
+        -------
+
+        __call__(self, char: str = " ") -> Align:
+            Gets the :class:`Align` instance
+        """
+
+        def __call__(self, char: str = " ") -> Align: ...
+
+    def __call__(self, content: list[str], width: int, height: int) -> list[str]:
+        content = self.vertical(content, height)
+        return [self.horizontal(line, width) for line in content]
+
+
+Align.TopLeft = lambda char=" ": Align(
+    lambda lines, size: (lines + [""] * (size - len(lines))),
+    lambda line, size: line.ljust(size, char),
+)
+
+Align.MidLeft = lambda char=" ": Align(
+    lambda lines, size: Align.TopLeft(char).vertical(
+        [""] * ((size - len(lines)) // 2) + lines, size
+    ),
+    lambda line, size: line.ljust(size, char),
+)
+
+Align.MidCenter = lambda char=" ": Align(
+    lambda lines, size: Align.TopLeft(char).vertical(
+        [""] * ((size - len(lines)) // 2) + lines, size
+    ),
+    lambda line, size: line.center(size, char),
+)
+
+Align.Repeat = lambda char=" ": Align(
+    lambda lines, size: list(islice(cycle(lines or [""]), size)),
+    lambda line, size: "".join(islice(cycle(line or char or " "), size)),
+)
+
+
+@dataclass
+class Cell:
+    """Represents a table cell with alignable content, which might span multiple columns
+    and rows.
+
+    Methods
+    -------
+    fill(self, width: int, height: int) -> list[str]:
+        Increase size of table content using :attr:`align`
+    """
+
+    content: list[str] = field(default_factory=list)
+    """Line-separated cell content."""
+
+    align: Aligner = Align.TopLeft()
+    """Alignment strategy (see :class:`Aligner`)."""
+
+    colspan: int = 1
+    """Number of columns to span."""
+
+    rowspan: int = 1
+    """Number of rows to span."""
+
+    def __post_init__(self) -> None:
+        self.content = [split for line in self.content for split in line.split("\n")]
+        if self.rowspan < 1 or self.colspan < 1:
+            raise ValueError("Rowspan and colspan must be positive")
+
+    def fill(self, width: int, height: int) -> list[str]:
+        """Return cell content resized to a target size by using :attr:`align` strategy.
+
+        Arguments:
+            width :class:`int`:
+                The target width for the cell.
+            height :class:`int`:
+                The target height for the cell.
+
+        Returns :class:`list[str]`:
+            The resized line-separated content.
+        """
+        return self.align(self.content, width, height)
diff --git a/tabulardelta/formatters/tabulartext/table.py b/tabulardelta/formatters/tabulartext/table.py
new file mode 100644
index 0000000..589898a
--- /dev/null
+++ b/tabulardelta/formatters/tabulartext/table.py
@@ -0,0 +1,386 @@
+# Copyright (c) QuantCo 2024-2024
+# SPDX-License-Identifier: LicenseRef-QuantCo
+
+from __future__ import annotations
+
+from collections import defaultdict
+from collections.abc import Callable
+from dataclasses import dataclass, replace
+from typing import Any, ClassVar, Protocol
+
+from .cell import Align, Cell
+
+
+class BorderStyle(Protocol):
+    """BorderStyle is a protocol for adding border-cells in-between existing cells of a
+    table.
+
+    Arguments:
+        table :class:`Table`:
+            Table to add borders to.
+
+    Returns :class:`list[list[Cell]]`:
+        Table content with added border cells.
+
+    Methods
+    -------
+
+    __call__(self, table: Table) -> list[list[Cell]]:
+        Adds border to given table
+    """
+
+    def __call__(self, table: Table) -> list[list[Cell]]: ...
+
+
+class Border:
+    """Implementation of :class:`BorderStyle`, for adding a border to an existing table.
+
+    Offers out-of-the-box border styles as class attributes:
+        :attr:`Nothing`, :attr:`InnerGap`, :attr:`Basic`, and :attr:`VerticalGap`.
+
+    Use :meth:`__init__` with :attr:`style_specifier` for specialized border styles:
+        A style specifier are comma-separated border descriptions, for all 19 border positions.
+
+        Border descriptions start with a space or a dot, followed by the content of the border cell.
+
+        A dot means that the border cell is allowed to have size 0, a space means it is not.
+
+        The style specifier for :attr:`Basic` therefore looks like this:
+
+        .. code-block::
+
+             ┏,.━, ┯, ┓,.│,
+             ┠, ┬, ┤,.┃,.─,
+            .┃, ├, ┴, ┨, ┼,
+             ┗, ┷,.━, ┛
+
+    Methods
+    -------
+    __init__(self, style_specifier: str):
+        Initializes a :class:`Border` based on style specifier
+    __call__(self, table: Table) -> list[list[Cell]]:
+        Implements :class:`BorderStyle`
+    """
+
+    # Out-of-the-box Borders
+    Nothing: ClassVar[BorderStyle]
+    """Empty border cells.
+
+    Can be used as syntactic sugar to not always specify `add_border=False`.
+    """
+    InnerGap: ClassVar[BorderStyle]
+    """Adds empty lines between rows and two spaces between columns."""
+    Basic: ClassVar[BorderStyle]
+    """Uses box-drawing characters to draw a beautiful border."""
+    VerticalGap: ClassVar[BorderStyle]
+    """Adds two spaces between columns."""
+
+    def __init__(self, style_specifier: str):
+        style = style_specifier.replace("\n", "").split(",")
+        if len(style) != 19:
+            raise ValueError("Style must be 19 comma-separated strings")
+        order = [10, 5, 0, 2, 1, 3, 16, 15, 17, 8, 18, 13, 4, 11, 7, 14, 12, 6, 9]
+        contents = [(style[i][1:], (style[i][:1] not in (".", ""))) for i in order]
+        self._style = [Cell([val] * fix, Align.Repeat(val)) for val, fix in contents]
+
+    @staticmethod
+    def _prune(arr: list[list[Any]], x: int, y: int) -> None:
+        """
+        style e.g.: ┃, ┠, ┏, ┯, ━, ┓, ┷, ┗, ━, ┃, ┛, ┨, │, ├, ┤, ┼, ┴, ┬, ─
+        index:      0, 1, 2, 3, 4, 5, 6, 7, 8, 9,10,11,12,13,14,15,16,17,18
+        pruneTop:     ┼ -> ┬,  ┷ -> ━,  ┴ -> ─   (index += 2)
+        pruneBottom:  ┼ -> ┴,  ┯ -> ━,  ┬ -> ─   (index += 1)
+        pruneRight:   ┼ -> ┤,  ┠ -> ┃,  ├ -> │   (index -= 1)
+        pruneLeft:    ┼ -> ├,  ┨ -> ┃,  ┤ -> │   (index -=2)
+        """
+        arr[y][x] = None
+        arr[y + 1][x] = arr[y + 1][x] + 2 if isinstance(arr[y + 1][x], int) else None
+        arr[y - 1][x] = arr[y - 1][x] + 1 if isinstance(arr[y - 1][x], int) else None
+        arr[y][x - 1] = arr[y][x - 1] - 1 if isinstance(arr[y][x - 1], int) else None
+        arr[y][x + 1] = arr[y][x + 1] - 2 if isinstance(arr[y][x + 1], int) else None
+
+    @staticmethod
+    def _get_border_table(x: int, y: int) -> list[list[int | Cell | None]]:
+        """Shows columns nicely visualized, or listed in columns if too wide
+        Example for 2x2:
+        │-----x=2-----│
+        ┏━━━━━━┯━━━━━━┓  ┬
+        ┃Cell()│Cell()┃  ╎
+        ┠──────┼──────┨  y=2
+        ┃Cell()│Cell()┃  ╎
+        ┗━━━━━━┷━━━━━━┛  ┴
+        """
+
+        def _row(cells: tuple[Any, Any, Any, Any]) -> list[Any]:
+            """(A,B,C,D) => [A, B, C, B, C, B, ..., C, B, D] (len=x)"""
+            repeat_cells = [cell for _ in range(x - 1) for cell in cells[2:0:-1]]
+            return [cells[0], cells[1], *repeat_cells, cells[3]]
+
+        top = (2, 4, 3, 5)  # ......┏ ━ ┯ ┓
+        mid = (0, Cell(), 12, 9)  # ┃ X │ ┃
+        sep = (1, 18, 15, 11)  # ...┠ ─ ┼ ┨
+        bot = (7, 8, 6, 10)  # .....┗ ━ ┷ ┛
+        repeat_rows = [row for _ in range(y - 1) for row in (_row(sep), _row(mid))]
+        return [_row(top), _row(mid), *repeat_rows, _row(bot)]
+
+    def __call__(self, table: Table) -> list[list[Cell]]:
+        dimensions = table._dimensions()
+        if not any(dimensions):
+            return table.content
+        content: list[list[int | Cell | None]] = self._get_border_table(*dimensions)
+
+        def fill(cell_x: int, cell_y: int, cell: Cell | None) -> None:
+            for x_offset in range(getattr(cell, "colspan", 0) * 2 - 1):
+                for y_offset in range(getattr(cell, "rowspan", 0) * 2 - 1):
+                    x = 2 * cell_x + 1 + x_offset
+                    y = 2 * cell_y + 1 + y_offset
+                    # Iterate over borders within spanned cell:
+                    if x % 2 == 0 or y % 2 == 0:
+                        self._prune(content, x, y)
+            content[2 * cell_y + 1][2 * cell_x + 1] = cell
+
+        table._traverse(fill)
+
+        result: list[list[Cell]] = []
+        for row in content:
+            result.append([])
+            for cell in row:
+                if isinstance(cell, int):
+                    result[-1].append(self._style[cell])
+                elif isinstance(cell, Cell):
+                    colspan, rowspan = cell.colspan * 2 - 1, cell.rowspan * 2 - 1
+                    result[-1].append(replace(cell, colspan=colspan, rowspan=rowspan))
+
+        return result
+
+
+Border.Basic = Border(
+    ""  # linebreak
+    + " ┏,.━, ┯, ┓,.│,"
+    + " ┠, ┬, ┤,.┃,.─,"
+    + ".┃, ├, ┴, ┨, ┼,"
+    + " ┗, ┷,.━, ┛"
+)
+Border.Nothing = Border(",,,,,,,,,,,,,,,,,,")
+Border.InnerGap = Border(",,,,   ,,,,,   ,,,,,,,,,")
+Border.VerticalGap = Border(",,,,   ,,,,,,,,,,,,,,")
+
+
+@dataclass
+class Table:
+    """Represents a table containing cells with a border style.
+
+    Note:
+        If you don't have a :class:`list[list[Cell]]`, try :meth:`from_lists` to create a table.
+
+        This will cast the content accordingly (see :meth:`from_lists` documentation).
+
+    Methods
+    -------
+
+    __getitem__(self, item: int) -> list[Cell]:
+        Retrieves cells using :code:`table[row_nr][col_nr]`.
+    __setitem__(self, key: int, value: list[Cell]) -> None:
+        Setting cells using :code:`table[row_nr][col_nr] = cell`.
+    from_lists(strs: list[list[Any]], border: BorderStyle = Border.Basic) -> Table:
+        Casts content to create table (see :meth:`from_lists` documentation).
+    lines(self, add_border: bool = True) -> list[str]:
+        Renders table as line-separated list of strings.
+    to_string(self, add_border: bool = True) -> str:
+        Renders table as string.
+    __str__(self) -> str:
+        Renders table as string.
+    """
+
+    content: list[list[Cell]]
+    """Table content as a list of rows, each containing a list of cells."""
+
+    border: BorderStyle = Border.Basic
+    """Border style to be added."""
+
+    _border_added: bool = False
+
+    def __getitem__(self, item: int) -> list[Cell]:
+        return self.content[item]
+
+    def __setitem__(self, key: int, value: list[Cell]) -> None:
+        self.content[key] = value
+
+    def _add_border(self, override: bool = False) -> bool:
+        """Adds border to table if not already added or override is True."""
+        if not self._border_added or override:
+            self.content = self.border(self)
+            self._border_added = True
+            return True
+        return False
+
+    @staticmethod
+    def from_lists(strs: list[list[Any]], border: BorderStyle = Border.Basic) -> Table:
+        """Creates a table from list of lists of objects, where each object is cast to a
+        cell:
+
+            A :class:`Cell` won't be casted.
+
+            A :class:`list` is interpreted as containing lines, with each line being casted to :class:`str`.
+
+            Other objects are casted to strings.
+
+        Arguments:
+            strs :class:`list[list[Any]]`:
+                List of lists of cell objects.
+            border :class:`BorderStyle`:
+                Border style of table.
+
+        Returns :class:`Table`:
+            Table containing casted cells and border style.
+        """
+
+        def _cast(cell: Cell | list[Any] | Any) -> Cell:
+            if isinstance(cell, Cell):
+                return cell
+            elif isinstance(cell, list):
+                return Cell([str(row) for row in cell])
+            return Cell([str(cell)])
+
+        return Table([[_cast(cell) for cell in row] for row in strs], border=border)
+
+    def _traverse(self, func: Callable[[int, int, Cell | None], None]) -> None:
+        """Calls func for each cell with x_pos, y_pos, and cell as arguments.
+
+        The cell is None if position is occupied by other cell with rowspan/colspan > 1.
+        """
+        # Implicit cells due to rowspan: Dict row -> set(column)
+        rowspan_cells: dict[int, set[int]] = defaultdict(set)
+
+        y_pos = 0
+        for row in self.content:
+            row = [cell for cell in row if cell]
+            x_pos = 0
+            for cell in row:
+                while x_pos in rowspan_cells[y_pos]:
+                    func(x_pos, y_pos, None)
+                    x_pos += 1
+                for spanned_row in range(y_pos + 1, y_pos + cell.rowspan):
+                    spanned_cols = range(x_pos, x_pos + cell.colspan)
+                    rowspan_cells[spanned_row].update(spanned_cols)
+                func(x_pos, y_pos, cell)
+                for spanned_col in range(x_pos + 1, x_pos + cell.colspan):
+                    func(spanned_col, y_pos, None)
+                x_pos += cell.colspan
+            if row:
+                y_pos += 1
+        while y_pos in rowspan_cells:
+            for x_pos in rowspan_cells[y_pos]:
+                func(x_pos, y_pos, None)
+            y_pos += 1
+
+    def _dimensions(self) -> tuple[int, int]:
+        """Get width and height of cell grid, including rowspan/colspan."""
+        width = _MaxValue()
+        height = _MaxValue()
+
+        def measure(x: int, y: int, _: Cell | None) -> None:
+            width(x + 1)
+            height(y + 1)
+
+        self._traverse(measure)
+        return width(), height()
+
+    def lines(self, add_border: bool = True) -> list[str]:
+        """Returns rendered table as line-separated list of strings.
+
+        This method will never add a border if it already exists!
+
+        Arguments:
+            add_border :class:`bool`:
+                Whether to add a border to the table.
+
+        Returns :class:`list[str]`:
+            Line-separated rendered table.
+        """
+        if add_border:
+            self._add_border()
+
+        # Cell size requirements: end_of_merge -> start_of_merge -> max_size
+        horizontal_sizes: dict[int, dict[int, _MaxValue]] = defaultdict(
+            lambda: defaultdict(_MaxValue)
+        )
+        vertical_sizes: dict[int, dict[int, _MaxValue]] = defaultdict(
+            lambda: defaultdict(_MaxValue)
+        )
+
+        def update_size_requirements(x: int, y: int, cell: Cell | None) -> None:
+            if cell is not None:
+                height = len(cell.content)
+                width = max((len(line) for line in cell.content), default=0)
+                vertical_sizes[y + cell.rowspan - 1][y](height)
+                horizontal_sizes[x + cell.colspan - 1][x](width)
+
+        self._traverse(update_size_requirements)
+        widths = _get_min_sizes(horizontal_sizes)
+        heights = _get_min_sizes(vertical_sizes)
+
+        result = [[""] * sum(widths) for _ in range(sum(heights))]
+
+        def collect_result(x: int, y: int, cell: Cell | None) -> None:
+            if cell is not None:
+                width = sum(widths[x : x + cell.colspan])
+                height = sum(heights[y : y + cell.rowspan])
+                filled = cell.fill(width, height)
+                current_row = sum(heights[:y])
+                current_col = sum(widths[:x])
+                for y_pos, line in enumerate(filled):
+                    if line:
+                        result[current_row + y_pos][current_col] = line
+
+        self._traverse(collect_result)
+        return ["".join(row) for row in result]
+
+    def to_string(self, add_border: bool = True) -> str:
+        """Returns rendered table as string by concatenating :meth:`lines`.
+
+        This method will never add a border if it already exists!
+
+        :meth:`__str__` calls this method with default arguments.
+
+        Arguments:
+            add_border :class:`bool`:
+                Whether to add a border to the table.
+
+        Returns :class:`str`:
+            Rendered table.
+        """
+        return "\n".join(self.lines(add_border))
+
+    def __str__(self) -> str:
+        return self.to_string()
+
+
+@dataclass
+class _MaxValue:
+    value: int = 0
+
+    def __call__(self, new: int | None = None) -> int:
+        self.value = max(self.value, new or 0)
+        return self.value
+
+
+def _get_min_sizes(ranges: dict[int, dict[int, _MaxValue]]) -> list[int]:
+    """
+    ranges: Size requirements (end_of_range -> start_of_range -> required_size)
+    Gets the minimum sizes for multiple overlapping ranges
+
+    │A│B│CDEFGHI│J  │  <-> {   0: {0: 1}, 1: {1: 1}, 2: {2: 7}, 3: {3: 1}
+    │ABCDEF     │GHI│          3: {0: 6}, 4: {4: 3}                         }
+    ╎ ╎ ╎       ╎   ╎
+    ╎1╎1╎   7   ╎ 3 ╎  --> [1, 1, 7, 3]
+    """
+    sizes: list[int] = []
+    for end in range(max(ranges.keys(), default=-1) + 1):
+        # Set sizes[end] to fit all ranges ending there
+        gen = (
+            min_range_size() - sum(sizes[start:end])
+            for start, min_range_size in ranges[end].items()
+        )
+        sizes.append(max(0, max(gen, default=0)))
+    return sizes
diff --git a/tabulardelta/py.typed b/tabulardelta/py.typed
new file mode 100644
index 0000000..e69de29
diff --git a/tabulardelta/tabulardelta.py b/tabulardelta/tabulardelta.py
new file mode 100644
index 0000000..8744a1e
--- /dev/null
+++ b/tabulardelta/tabulardelta.py
@@ -0,0 +1,232 @@
+# Copyright (c) QuantCo 2022-2024
+# SPDX-License-Identifier: LicenseRef-QuantCo
+
+
+from collections.abc import Iterable, Mapping, Sequence
+from typing import Any, Protocol
+
+
+class ChangedValue(Protocol):
+    """Represents a change of a value."""
+
+    @property
+    def old(self) -> Any:
+        """Previous value before the change."""
+        ...
+
+    @property
+    def new(self) -> Any:
+        """New value after the change."""
+        ...
+
+    @property
+    def count(self) -> int:
+        """(Positive) number of rows containing this change."""
+        ...
+
+    @property
+    def example_join_columns(self) -> Mapping[str, Any]:
+        """Mapping from column names to values represents an example row where this
+        change occurred."""
+        ...
+
+
+class Column(Protocol):
+    """Represents a column in a table."""
+
+    @property
+    def name(self) -> str:
+        """Name of the column."""
+        ...
+
+    @property
+    def type(self) -> str:
+        """Data type of the column."""
+        ...
+
+
+class MatchedColumn(Protocol):
+    """Metadata of the same column in the old and new table."""
+
+    @property
+    def old(self) -> Column:
+        """The column in the old table."""
+        ...
+
+    @property
+    def new(self) -> Column:
+        """The column in the new table."""
+        ...
+
+
+class ChangedColumn(MatchedColumn, Protocol, Iterable[ChangedValue]):
+    """Represents changes within the same column between the old and new table.
+
+    Use :code:`len()` to get the total number of changed values.
+
+    Since this is an :class:`Iterable[ChangedValue]`, it may contain examples of the changes:
+
+        A :class:`ChangedValue` can represent multiple occurrences of the same values changing.
+
+        There might be fewer examples than the total number of changes (returned by :code:`len()`).
+
+
+    Methods
+    -------
+    __len__() -> int
+        Total number of changes.
+    __iter__() -> Iterator[ChangedValue]
+        Examples of value changes.
+    """
+
+    def __len__(self): ...
+
+
+class Rows(Protocol, Iterable[Mapping[str, Any]]):
+    """Represents multiple rows. Use :code:`len()` to get the number of represented
+    rows.
+
+    Since this is an :class:`Iterable[Mapping[str, Any]]`, it may contain examples of the represented rows:
+
+        A :class:`Mapping[str, Any]` maps column names to values of one row.
+
+        There might be fewer examples than the number represented rows (returned by :code:`len()`).
+
+
+    Methods
+    -------
+    __len__() -> int
+        Number of represented rows.
+    __iter__() -> Iterator[Mapping[str, Any]]
+        Examples of represented rows.
+    """
+
+    def __len__(self): ...
+
+
+class ColumnDelta(Protocol):
+    """Generic collection of information about columns, types and their changes."""
+
+    @property
+    def old(self) -> Sequence[Column]:
+        """Metadata of columns in the old table."""
+        ...
+
+    @property
+    def new(self) -> Sequence[Column]:
+        """Metadata of columns in the new table."""
+        ...
+
+    @property
+    def added(self) -> Sequence[Column]:
+        """Metadata of added columns (only in new table)."""
+        ...
+
+    @property
+    def removed(self) -> Sequence[Column]:
+        """Metadata of removed columns (only in old table)."""
+        ...
+
+    @property
+    def joined(self) -> Sequence[MatchedColumn]:
+        """Metadata of columns used to join the old and new table."""
+        ...
+
+    @property
+    def renamed(self) -> Sequence[MatchedColumn]:
+        """Metadata of renamed columns (matched using values and types)."""
+        ...
+
+    @property
+    def comparable_type_changed(self) -> Sequence[MatchedColumn]:
+        """Metadata of columns with changed but comparable data types."""
+        ...
+
+    @property
+    def incomparable_type_changed(self) -> Sequence[ChangedColumn]:
+        """Columns with changed and incomparable data types, including value changes.
+
+        All values are assumed to be different.
+        """
+        ...
+
+    @property
+    def differences(self) -> Sequence[ChangedColumn]:
+        """Changed values of comparable columns."""
+        ...
+
+
+class RowDelta(Protocol):
+    """Generic collection of information about rows."""
+
+    @property
+    def old(self) -> Rows:
+        """Rows in the old table."""
+        ...
+
+    @property
+    def new(self) -> Rows:
+        """Rows in the new table."""
+        ...
+
+    @property
+    def added(self) -> Rows:
+        """Added rows (only in new table)."""
+        ...
+
+    @property
+    def removed(self) -> Rows:
+        """Removed rows (only in old table)."""
+        ...
+
+    @property
+    def equal(self) -> Rows:
+        """Equal rows (joined and all columns unchanged)."""
+        ...
+
+    @property
+    def unequal(self) -> Rows:
+        """Unequal rows (joined but at least one column changed)."""
+
+
+class TabularDelta(Protocol):
+    """Generic collection of information gathered by one table comparison.
+
+    Contains metadata about the comparison, :class:`RowDelta` and :class:`ColumnDelta`.
+    """
+
+    @property
+    def name(self) -> str:
+        """Name of the new table and therefore the comparison."""
+        ...
+
+    @property
+    def old_name(self) -> str | None:
+        """Optional name of the old table."""
+        ...
+
+    @property
+    def info(self) -> Sequence[str]:
+        """Additional information collected during the comparison."""
+        ...
+
+    @property
+    def warnings(self) -> Sequence[str]:
+        """Warnings collected during the comparison."""
+        ...
+
+    @property
+    def errors(self) -> Sequence[str]:
+        """Errors collected during the comparison."""
+        ...
+
+    @property
+    def cols(self) -> ColumnDelta:
+        """Column comparison containing information about columns, types, and value
+        changes."""
+        ...
+
+    @property
+    def rows(self) -> RowDelta:
+        """Row comparison containing information about row changes and examples."""
+        ...
diff --git a/tests/__init__.py b/tests/__init__.py
new file mode 100644
index 0000000..7658b10
--- /dev/null
+++ b/tests/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) QuantCo 2024-2024
+# SPDX-License-Identifier: LicenseRef-QuantCo
diff --git a/tests/mssql_container/__init__.py b/tests/mssql_container/__init__.py
new file mode 100644
index 0000000..7658b10
--- /dev/null
+++ b/tests/mssql_container/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) QuantCo 2024-2024
+# SPDX-License-Identifier: LicenseRef-QuantCo
diff --git a/tests/mssql_container/cached_mssql_container.py b/tests/mssql_container/cached_mssql_container.py
new file mode 100644
index 0000000..4e655d7
--- /dev/null
+++ b/tests/mssql_container/cached_mssql_container.py
@@ -0,0 +1,194 @@
+# Copyright (c) QuantCo 2022-2024
+# SPDX-License-Identifier: LicenseRef-QuantCo
+from __future__ import annotations
+
+import logging
+import os
+import socket
+import subprocess
+import sys
+import time
+from collections.abc import Iterator
+from datetime import datetime
+from pathlib import Path
+
+import pyodbc  # type: ignore
+import pytest
+import sqlalchemy as sa
+from pydantic import BaseModel, ValidationError
+
+logging.basicConfig(stream=sys.stdout, level=logging.DEBUG)
+
+
+class UnresponsiveMsSqlError(RuntimeError):
+    pass
+
+
+def free_port() -> int:
+    """Get a (most likely) free port by closing socket on OS-assigned port."""
+    sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
+    sock.bind(("0.0.0.0", 0))
+    sock.listen(1)
+    _, port = sock.getsockname()
+    sock.close()
+    return port
+
+
+class MsSqlContainer(BaseModel):
+    """Serializable class representing a mssql docker container."""
+
+    project_name: str = (
+        f"tabulardelta_cached-mssql_{datetime.now().strftime('%Y-%m-%d_%H-%M-%S')}"
+    )
+    port: int | None = None
+    docker_compose_file: Path = Path(__file__).parent / "docker-compose.yml"
+    cache_file: Path = Path(__file__).parent / ".mssql_container_cache.json"
+
+    def start(self) -> MsSqlContainer:
+        """Start the mssql container in detached mode."""
+        self.port = self.port or free_port()
+        assert (
+            subprocess.Popen(
+                f'docker compose -p "{self.project_name}" -f {self.docker_compose_file} up --detach',
+                env=os.environ | {"MSSQL_PORT": str(self.port)},
+                shell=True,
+            ).wait()
+            == 0
+        )
+        return self
+
+    def store_cache(self) -> MsSqlContainer:
+        """Store the current MsSqlContainer in the cache file."""
+        self.cache_file.write_text(self.model_dump_json())
+        return self
+
+    def get_cache(self) -> MsSqlContainer:
+        """Get the MsSqlContainer from the cache file."""
+        return MsSqlContainer.model_validate_json(self.cache_file.read_text())
+
+    def sqlalchemy_url(self) -> str:
+        # If no port is set, try using CI windows connection string:
+        host = f"localhost:{self.port}" if self.port else r"(localdb)\.\MSSQLLocalDB"
+        return f"mssql+pyodbc://sa:Passw0rd@{host}/master?Encrypt=no&TrustServerCertificate=yes&driver=ODBC+Driver+17+for+SQL+Server"
+
+    def sqlalchemy_engine(self) -> sa.Engine:
+        return sa.create_engine(self.sqlalchemy_url())
+
+    def pyodbc_connect(self) -> pyodbc.Connection:
+        # If no port is set, try using CI windows connection string:
+        host = f"localhost,{self.port}" if self.port else r"(localdb)\.\MSSQLLocalDB"
+        pyodbc_str = f"DRIVER={{ODBC Driver 17 for SQL Server}};SERVER={host};DATABASE=master;UID=sa;PWD=Passw0rd;TrustServerCertificate=yes;Encrypt=No;DATABASE=master"
+        return pyodbc.connect(pyodbc_str)
+
+    def healthcheck(
+        self, max_attempts: int = 3, sleep_interval: float = 3
+    ) -> MsSqlContainer:
+        t = time.time()
+        for attempt in range(max_attempts):
+            try:
+                logging.debug(f"Connecting to docker mssql, attempt {attempt}")
+                cnn = self.pyodbc_connect()
+                cursor = cnn.cursor()
+                cursor.execute("SELECT 1")
+                cnn.commit()
+                logging.info(
+                    f"Connecting to docker mssql, attempt {attempt} success after {time.time()-t:.2f}s"
+                )
+                return self
+            except Exception:
+                logging.debug(f"Connecting to docker db, attempt {attempt} failed")
+                time.sleep(sleep_interval)
+        logging.error(">" * 20 + " DOCKER COMPOSE LOGS BELOW " + "<" * 20)
+        logging.error(
+            subprocess.check_output(
+                ["docker", "compose", "-p", self.project_name, "logs"]
+            ).decode("utf-8")
+        )
+        logging.error(">" * 20 + " END DOCKER COMPOSE LOGS " + "<" * 20)
+        raise UnresponsiveMsSqlError(
+            f"Could not connect to temporary db on port :{self.port}\n"
+        )
+
+    def reset(self) -> MsSqlContainer:
+        conn = self.pyodbc_connect()
+        conn.autocommit = True
+        cur = conn.cursor()
+
+        # Security check
+        if self.port == 1433:
+            raise RuntimeError(
+                "MISHAP PROTECTION: Let's not reset mssql on default ports."
+            )
+
+        # Drop databases
+        all_dbs = cur.execute("SELECT name FROM sys.databases").fetchall()
+        system_dbs = ["master", "tempdb", "model", "msdb"]
+        user_dbs = [row[0] for row in all_dbs if row[0] not in system_dbs]
+        if len(user_dbs) > 5:  # Security check
+            raise RuntimeError(
+                "MISHAP PROTECTION: Let's not drop more than 5 databases."
+            )
+        for user_db in user_dbs:
+            cur.execute(f"DROP DATABASE {user_db}")
+
+        # Drop foreign keys in master
+        constraints_query = "SELECT * FROM master.INFORMATION_SCHEMA.TABLE_CONSTRAINTS"
+        constraints = cur.execute(constraints_query).fetchall()
+        for _, _, constraint, _, schema, table, category, _, _ in constraints:
+            if category == "FOREIGN KEY":
+                cur.execute(f"ALTER TABLE [{schema}].[{table}] DROP [{constraint}]")
+
+        # Drop tables and views in master
+        master_objs = cur.execute(
+            "SELECT * FROM master.INFORMATION_SCHEMA.TABLES"
+        ).fetchall()
+        for _, schema, table, category in master_objs:
+            cur.execute(f"DROP {category.split()[-1]} [{schema}].[{table}]")
+
+        # Drop schemas
+        system_schemas = {
+            "dbo",
+            "guest",
+            "INFORMATION_SCHEMA",
+            "sys",
+            "db_owner",
+            "db_accessadmin",
+            "db_securityadmin",
+            "db_ddladmin",
+            "db_backupoperator",
+            "db_datareader",
+            "db_datawriter",
+            "db_denydatareader",
+            "db_denydatawriter",
+        }
+        master_schemas = cur.execute(
+            "SELECT * FROM master.INFORMATION_SCHEMA.SCHEMATA"
+        ).fetchall()
+        user_schemas = {s[1] for s in master_schemas if s[1] not in system_schemas}
+        for schema in user_schemas:
+            cur.execute(f"DROP SCHEMA [{schema}]")
+
+        cur.close()
+        conn.close()
+        return self
+
+
+def cached_clean_mssql_container(
+    attempts: int = 2,
+    cache_file: Path = Path(__file__).parent / ".mssql_container_cache.json",
+) -> MsSqlContainer:
+    """Get a cached MsSqlContainer from the cache file, or start this one if missing."""
+    new_container = MsSqlContainer(cache_file=cache_file)
+    for _ in range(attempts):
+        try:
+            print(new_container.get_cache())
+            return new_container.get_cache().healthcheck().reset()
+        except (FileNotFoundError, ValidationError, UnresponsiveMsSqlError) as e:
+            logging.debug(f"Couldn't get cached MsSql container: {e}")
+            new_container.start().store_cache()
+    raise UnresponsiveMsSqlError("Failed to start mssql container.")
+
+
+@pytest.fixture(scope="function")
+def mssql_engine() -> Iterator[sa.Engine]:
+    yield cached_clean_mssql_container().sqlalchemy_engine()
diff --git a/tests/mssql_container/docker-compose.yml b/tests/mssql_container/docker-compose.yml
new file mode 100644
index 0000000..1526269
--- /dev/null
+++ b/tests/mssql_container/docker-compose.yml
@@ -0,0 +1,14 @@
+services:
+  mssql:
+    platform: linux/amd64
+    image: "mcr.microsoft.com/mssql/server:2022-latest"
+    ports:
+      - "${MSSQL_PORT:-1434}:1433"
+    environment:
+      - MSSQL_SA_PASSWORD=Passw0rd
+      - ACCEPT_EULA=y
+    healthcheck:
+      test: ["CMD", "/opt/mssql-tools/bin/sqlcmd", "-S", "localhost", "-U", "sa", "-P", "'Passw0rd'", "-Q", "'SELECT 1'", "||", "exit 1"]
+      interval: 5s
+      timeout: 5s
+      retries: 40
diff --git a/tests/test_assets/week24.csv b/tests/test_assets/week24.csv
new file mode 100644
index 0000000..5fe34be
--- /dev/null
+++ b/tests/test_assets/week24.csv
@@ -0,0 +1,33 @@
+Day,Who,Shift
+Mon, ZR, 8h
+Mon, WO, 7h
+Mon, FJ, 6h
+Mon, GT, 3h
+Tue, FJ, 2h
+Tue, AT, 6h
+Tue, LK, 7h
+Tue, GT, 6h
+Tue, ZR, 3h
+Wed, LK, 8h
+Wed, ZR, 2h
+Wed, JK, 4h
+Wed, WO, 5h
+Wed, DA, 5h
+Thu, LK, 4h
+Thu, JK, 7h
+Thu, ZR, 5h
+Thu, DA, 8h
+Fri, DA, 4h
+Fri, GT, 8h
+Fri, LK, 2h
+Fri, JK, 5h
+Fri, LN, 5h
+Sat, ZR, 4h
+Sat, CN, 5h
+Sat, LN, 2h
+Sat, AT, 6h
+Sat, LK, 7h
+Sun, LN, 3h
+Sun, FJ, 5h
+Sun, JK, 8h
+Sun, ZR, 8h
diff --git a/tests/test_assets/week25.csv b/tests/test_assets/week25.csv
new file mode 100644
index 0000000..6a00810
--- /dev/null
+++ b/tests/test_assets/week25.csv
@@ -0,0 +1,31 @@
+Day,Who,Shift
+Sat, CN, 6h
+Wed, DA, 5h
+Thu, DA, 8h
+Fri, DA, 4h
+Mon, FJ, 6h
+Tue, FJ, 5h
+Sun, FJ, 5h
+Mon, GT, 3h
+Tue, GT, 7h
+Fri, GT, 8h
+Wed, JK, 4h
+Thu, JK, 7h
+Sun, JK, 8h
+Fri, JK, 5h
+Tue, LK, 7h
+Wed, LK, 8h
+Thu, LK, 4h
+Fri, LK, 2h
+Sat, LK, 7h
+Fri, LN, 5h
+Sat, LN, 5h
+Sun, LN, 3h
+Mon, WO, 7h
+Wed, WO, 5h
+Mon, ZR, 8h
+Tue, ZR, 5h
+Wed, ZR, 2h
+Thu, ZR, 5h
+Sat, ZR, 6h
+Sun, ZR, 8h
diff --git a/tests/test_comparators.py b/tests/test_comparators.py
new file mode 100644
index 0000000..9e3722f
--- /dev/null
+++ b/tests/test_comparators.py
@@ -0,0 +1,488 @@
+# Copyright (c) QuantCo 2022-2024
+# SPDX-License-Identifier: LicenseRef-QuantCo
+from typing import Any, NamedTuple
+
+import numpy as np
+import pandas as pd
+import pytest
+from pandas.testing import assert_frame_equal
+
+from tabulardelta import (
+    DetailedTextFormatter,
+    PandasComparator,
+    SqlCompyreComparator,
+    SqlMetadataComparator,
+)
+from tabulardelta.comparators.tabulardelta_dataclasses import (
+    Column,
+    ColumnPair,
+)
+
+try:
+    from tests.mssql_container.cached_mssql_container import mssql_engine
+except ImportError:
+
+    @pytest.fixture
+    def mssql_engine() -> Any:
+        return "SqlAlchemy or pyodbc not installed."
+
+
+try:
+    import sqlalchemy as sa
+except ImportError:
+    sa = NamedTuple("sa", [("Engine", Any)])  # type: ignore # noqa: UP014
+
+
+def rec_approx(a: Any, b: Any):
+    if isinstance(a, list) and isinstance(b, list):
+        assert len(a) == len(b)
+        for x, y in zip(a, b):
+            rec_approx(x, y)
+    elif isinstance(a, dict) and isinstance(b, dict):
+        assert len(a) == len(b)
+        for k in a:
+            assert k in b
+            rec_approx(a[k], b[k])
+    else:
+        assert a == pytest.approx(b)
+
+
+def old_df():
+    return pd.DataFrame(
+        {
+            "id": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
+            "equal": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
+            "paid": [
+                "yes",
+                "no",
+                "yes",
+                "maybe",
+                "yes",
+                "no",
+                "yes",
+                "no",
+                "yes",
+                "no",
+            ],
+            "unnecessary": [0] * 10,
+            "name": ["A", "B", "C", "D", "E", "F", "G", "H", "I", "J"],
+            "measurement": [[val] * 3 for val in np.arange(0.1, 1.1, 0.1)],
+            "expectation": [0.12, 0.24, 0.36, 0.48, 0.5, 0.68, 0.76, 0.84, 0.92, 1.0],
+        }
+    )
+
+
+def new_df():
+    df = old_df()
+    # Swap first two rows
+    df.iloc[0], df.iloc[1] = (df.iloc[1], df.iloc[0].copy())
+    # Remove unnecessary column
+    df.drop(columns=["unnecessary"], inplace=True)
+    # Uncomparable dtype change: str -> bool
+    df["paid"] = df["paid"] == "yes"
+    # Rename measurements
+    df.rename(columns={"measurement": "renamedmeasurement"}, inplace=True)
+    # Results are average of measurements
+    df["results"] = df["renamedmeasurement"].apply(lambda x: sum(x) / len(x))
+    # Rename last row
+    df.loc[9, "name"] = "Jess"
+    # Add new row
+    df.loc[10] = [10, 0, True, "Karl", [1.0, 1.1, 1.2], 0.9, 1.1]
+    # Change expectation value for row 4
+    df.loc[4, "expectation"] = 0.55
+    # Change expectations to float32
+    df["expectation"] = df["expectation"].astype("float32")
+    # Change id to float64
+    df["id"] = df["id"].astype("float64")
+    # Create a second results column as float32
+    df["second_result"] = df["results"].astype("float32")
+    return df
+
+
+def test_pandas_comparator():
+    delta = PandasComparator(["name"]).compare(old_df(), new_df())
+
+    print(delta)
+
+    assert delta.warnings == []
+    assert delta.errors == []
+    assert delta.cols.joined == [
+        ColumnPair(Column("name", "object"), Column("name", "object"), join=True)
+    ]
+    assert delta.cols.removed == [Column("unnecessary", "int64")]
+    assert set(delta.cols.added) == {
+        Column("results", "float64"),
+        Column("second_result", "float32"),
+    }
+    assert delta.cols.renamed == [
+        ColumnPair(
+            Column("measurement", "object"),
+            Column("renamedmeasurement", "object"),
+        )
+    ]
+    comparable = [chg for chg in delta.cols.comparable_type_changed]
+    assert len(comparable) == 1
+    assert comparable[0].old == Column("expectation", "float64")
+    assert comparable[0].new == Column("expectation", "float32")
+    assert all(chg.old and chg.new for chg in delta.cols.incomparable_type_changed)
+    incomparable_dtype_dict = {
+        chg.new.name: (
+            chg.old.name,
+            chg.new.name,
+            chg.old.type,
+            chg.new.type,
+            chg._values,
+        )
+        for chg in delta.cols.incomparable_type_changed
+        if chg.old and chg.new
+    }
+
+    assert "paid" in incomparable_dtype_dict
+    assert incomparable_dtype_dict["paid"][2] == "object"
+    assert incomparable_dtype_dict["paid"][3] == "bool"
+    assert isinstance(incomparable_dtype_dict["paid"][4], pd.DataFrame)
+    cols = incomparable_dtype_dict["paid"][4].columns
+    assert "name" in cols
+    assert "_count" in cols
+    assert incomparable_dtype_dict["paid"][0] in cols
+    assert incomparable_dtype_dict["paid"][1] in cols
+
+    assert "id" in incomparable_dtype_dict
+    assert incomparable_dtype_dict["id"][2] == "int64"
+    assert incomparable_dtype_dict["id"][3] == "float64"
+    assert isinstance(incomparable_dtype_dict["id"][4], pd.DataFrame)
+    cols = incomparable_dtype_dict["id"][4].columns
+    assert "name" in cols
+    assert "_count" in cols
+    assert incomparable_dtype_dict["id"][0] in incomparable_dtype_dict["id"][4].columns
+    assert incomparable_dtype_dict["id"][1] in incomparable_dtype_dict["id"][4].columns
+
+    assert len(delta.rows.old) == 10
+    assert len(delta.rows.new) == 11
+    assert len(delta.rows.equal) == 8
+    assert len(delta.rows.removed) == 1
+    assert len(delta.rows.added) == 2
+    assert len(delta.rows.unequal) == 1
+
+    added = {row["id"]: row for row in delta.rows.added}
+    rec_approx(
+        added[9.0],
+        {
+            "id": 9.0,
+            "equal": 0.0,
+            "paid": False,
+            "name": "Jess",
+            "renamedmeasurement": [1.0, 1.0, 1.0],
+            "expectation": 1.0,
+            "results": 1.0,
+            "second_result": 1.0,
+        },
+    )
+    rec_approx(
+        added[10.0],
+        {
+            "id": 10.0,
+            "equal": 0.0,
+            "paid": True,
+            "name": "Karl",
+            "renamedmeasurement": [1.0, 1.1, 1.2],
+            "expectation": 0.9,
+            "results": 1.1,
+            "second_result": 1.1,
+        },
+    )
+    rec_approx(
+        list(delta.rows.removed),
+        [
+            {
+                "id": 9.0,
+                "equal": 0.0,
+                "paid": "no",
+                "unnecessary": 0.0,
+                "name": "J",
+                "measurement": [1.0, 1.0, 1.0],
+                "expectation": 1.0,
+            }
+        ],
+    )
+
+    actual_differences = [diff for diff in delta.cols.differences if len(diff) > 0]
+    assert len(actual_differences) == 1
+    assert actual_differences[0].new and actual_differences[0].new.name == "expectation"
+    df = actual_differences[0]._values
+    assert df is not None
+    assert actual_differences[0].old and actual_differences[0].old.name in df.columns
+    assert actual_differences[0].new and actual_differences[0].new.name in df.columns
+    expected_df = pd.DataFrame(
+        {
+            "expectation_old": [0.5],
+            "expectation": [0.55],
+            "_count": [1],
+            "name": ["E"],
+        }
+    )
+    assert_frame_equal(df.reset_index(drop=True), expected_df.reset_index(drop=True))
+
+
+def test_pandas_comparator_row_col_orders():
+    test_dfs = [  # (DataFrame, Order <1=RowChanged, 2=ColChanged>)
+        (pd.DataFrame({"id": [1, 2], "col": ["a", "b"]}), 0),
+        (pd.DataFrame({"id": [1, 2], "col": ["a", "b"], "extra": ["x", "y"]}), 0),
+        (pd.DataFrame({"id": [1, 2, 3], "col": ["a", "b", "c"]}), 0),
+        (pd.DataFrame({"id": [2, 1], "col": ["b", "a"]}), 1),
+        (pd.DataFrame({"col": ["a", "b"], "id": [1, 2]}), 2),
+        (pd.DataFrame({"col": ["b", "a"], "id": [2, 1]}), 3),
+    ]
+    tests = [(o_df, n_df, o ^ n) for o_df, o in test_dfs for n_df, n in test_dfs]
+    for old_df, new_df, expected_order in tests:
+        delta = PandasComparator(["id"]).compare(old_df, new_df)
+        assert ("Row Order Changed!" in delta.info) == expected_order % 2
+        assert ("Column Order Changed!" in delta.info) == expected_order // 2
+        print(DetailedTextFormatter().format(delta))
+
+
+@pytest.mark.sql
+@pytest.mark.parametrize(
+    "input_type", ["table_str", "schema_table_str", "bracket_table_str", "sa_table"]
+)
+def test_sqlcompyre_comparator(mssql_engine: sa.Engine, input_type: str):
+    first = old_df()
+    first["measurement"] = first["measurement"].apply(str)
+    second = new_df()
+    second["renamedmeasurement"] = second["renamedmeasurement"].apply(str)
+    first.to_sql("first", mssql_engine, index=False, index_label="name", schema="dbo")
+    second.to_sql("second", mssql_engine, index=False, index_label="name", schema="dbo")
+
+    old: str | sa.Table
+    new: str | sa.Table
+    if input_type == "table_str":
+        old, new = "first", "second"
+    elif input_type == "schema_table_str":
+        old, new = "dbo.first", "dbo.second"
+    elif input_type == "bracket_table_str":
+        old, new = "[dbo].[first]", "[dbo].[second]"
+    elif input_type == "sa_table":
+        meta = sa.MetaData()
+        meta.reflect(mssql_engine)
+        old, new = meta.tables["first"], meta.tables["second"]
+    else:
+        raise ValueError(f"Invalid input_type: {input_type}")
+
+    delta = SqlCompyreComparator(mssql_engine, ["name"]).compare(old, new)
+
+    print(delta)
+
+    assert delta.warnings == []
+    assert delta.errors == []
+    assert delta.cols.joined == [
+        ColumnPair(
+            Column("name", 'VARCHAR COLLATE "SQL_Latin1_General_CP1_CI_AS"'),
+            Column("name", 'VARCHAR COLLATE "SQL_Latin1_General_CP1_CI_AS"'),
+            True,
+        )
+    ]
+    assert delta.cols.removed == [Column("unnecessary", "BIGINT")]
+    assert set(delta.cols.added) == {
+        Column("results", "FLOAT"),
+        Column("second_result", "REAL"),
+    }
+    renamed = delta.cols.renamed
+    assert len(renamed) == 1
+    assert len(renamed[0]) == 0
+    assert renamed[0].old == Column(
+        "measurement", 'VARCHAR COLLATE "SQL_Latin1_General_CP1_CI_AS"'
+    )
+    assert renamed[0].new == Column(
+        "renamedmeasurement", 'VARCHAR COLLATE "SQL_Latin1_General_CP1_CI_AS"'
+    )
+    assert all(chg.old for chg in delta.cols.comparable_type_changed)
+    changes = {
+        chg.old.name: chg for chg in delta.cols.comparable_type_changed if chg.old
+    }
+    assert changes.keys() == {"id", "expectation"}
+    assert changes["id"].old == Column("id", "BIGINT")
+    assert changes["id"].new == Column("id", "FLOAT")
+    assert changes["expectation"].old == Column("expectation", "FLOAT")
+    assert changes["expectation"].new == Column("expectation", "REAL")
+    assert all(chg.old and chg.new for chg in delta.cols.incomparable_type_changed)
+    incomparable_dtype_dict = {
+        chg.new.name: (
+            chg.old.name,
+            chg.new.name,
+            chg.old.type,
+            chg.new.type,
+            chg._values,
+        )
+        for chg in delta.cols.incomparable_type_changed
+        if chg.old and chg.new
+    }
+
+    assert "paid" in incomparable_dtype_dict
+    assert (
+        incomparable_dtype_dict["paid"][2]
+        == 'VARCHAR COLLATE "SQL_Latin1_General_CP1_CI_AS"'
+    )
+    assert incomparable_dtype_dict["paid"][3] == "BIT"
+    assert isinstance(incomparable_dtype_dict["paid"][4], pd.DataFrame)
+    cols = incomparable_dtype_dict["paid"][4].columns
+    assert "name" in cols
+    assert "_count" in cols
+    assert incomparable_dtype_dict["paid"][0] in cols
+    assert incomparable_dtype_dict["paid"][1] in cols
+
+    assert len(delta.rows.old) == 10
+    assert len(delta.rows.new) == 11
+
+    assert len(delta.rows.equal) == 8
+    assert len(delta.rows.removed) == 1
+    assert len(delta.rows.added) == 2
+    assert len(delta.rows.unequal) == 1
+
+    added = {row["id"]: row for row in delta.rows.added}
+    rec_approx(
+        added[9.0],
+        {
+            "id": 9.0,
+            "equal": 0.0,
+            "name": "Jess",
+            "renamedmeasurement": "[np.float64(1.0), np.float64(1.0), np.float64(1.0)]",
+            "expectation": 1.0,
+        },
+    )
+    rec_approx(
+        added[10.0],
+        {
+            "id": 10.0,
+            "equal": 0.0,
+            "name": "Karl",
+            "renamedmeasurement": "[1.0, 1.1, 1.2]",
+            "expectation": 0.9,
+        },
+    )
+    rec_approx(
+        list(delta.rows.removed),
+        [
+            {
+                "id": 9.0,
+                "equal": 0.0,
+                "name": "J",
+                "measurement": "[np.float64(1.0), np.float64(1.0), np.float64(1.0)]",
+                "expectation": 1.0,
+            }
+        ],
+    )
+
+    actual_differences = [diff for diff in delta.cols.differences if len(diff) > 0]
+    assert len(actual_differences) == 1
+    assert actual_differences[0].new
+    assert actual_differences[0].old
+    assert actual_differences[0].new.name == "expectation"
+    df = actual_differences[0]._values
+    assert df is not None
+    assert actual_differences[0].old.name in df.columns
+    assert actual_differences[0].new.name in df.columns
+    expected = pd.DataFrame(
+        {
+            "expectation_old": [0.5],
+            "expectation": [0.55],
+            "_count": [1],
+            "name": ["E"],
+        }
+    )
+    assert_frame_equal(
+        df.reset_index(drop=True), expected.reset_index(drop=True), check_dtype=False
+    )
+
+
+@pytest.mark.sql
+@pytest.mark.parametrize(
+    "input_type", ["table_str", "schema_table_str", "bracket_table_str", "sa_table"]
+)
+def test_sqlmetadata_comparator(mssql_engine: sa.Engine, input_type: str):
+    first = old_df()
+    first["measurement"] = first["measurement"].apply(str)
+    second = new_df()
+    second["renamedmeasurement"] = second["renamedmeasurement"].apply(str)
+    first.to_sql("first", mssql_engine, index=False, index_label="name")
+    second.to_sql("second", mssql_engine, index=False, index_label="name")
+
+    old: str | sa.Table
+    new: str | sa.Table
+    if input_type == "table_str":
+        old, new = "first", "second"
+    elif input_type == "schema_table_str":
+        old, new = "dbo.first", "dbo.second"
+    elif input_type == "bracket_table_str":
+        old, new = "[dbo].[first]", "[dbo].[second]"
+    elif input_type == "sa_table":
+        meta = sa.MetaData()
+        meta.reflect(mssql_engine)
+        old, new = meta.tables["first"], meta.tables["second"]
+    else:
+        raise ValueError(f"Invalid input_type: {input_type}")
+
+    delta = SqlMetadataComparator(mssql_engine).compare(old, new)
+
+    print(delta)
+
+    assert delta.warnings == ["No value comparison, just metadata analysis."]
+    assert delta.errors == []
+    assert delta.cols.joined == []
+    assert set(delta.cols.removed) == {
+        Column("unnecessary", "bigint"),
+        Column("measurement", "varchar"),
+    }
+    assert set(delta.cols.added) == {
+        Column("results", "float"),
+        Column("second_result", "real"),
+        Column("renamedmeasurement", "varchar"),
+    }
+    assert delta.cols.renamed == []
+    comparable = delta.cols.comparable_type_changed
+    assert len(comparable) == 3
+    assert comparable[0].old == Column("id", "bigint")
+    assert comparable[0].new == Column("id", "float")
+    assert comparable[1].old == Column("paid", "varchar")
+    assert comparable[1].new == Column("paid", "bit")
+    assert comparable[2].old == Column("expectation", "float")
+    assert comparable[2].new == Column("expectation", "real")
+
+    assert [chg for chg in delta.cols.incomparable_type_changed] == []
+
+    assert len(delta.rows.old) == 10
+    assert len(delta.rows.new) == 11
+
+    assert len(delta.rows.equal) == 0
+    assert len(delta.rows.removed) == 0
+    assert len(delta.rows.added) == 1
+    assert len(delta.rows.unequal) == 0
+
+    assert delta.cols.differences == []
+
+
+@pytest.mark.sql
+def test_sqlmetadata_comparator_cache(mssql_engine: sa.Engine):
+    first = old_df()
+    second = new_df()
+    first.to_sql("first", mssql_engine, index=False, index_label="name")
+    second.to_sql("second", mssql_engine, index=False, index_label="name")
+
+    # Create a comparison with activated caching
+    cache_comp = SqlMetadataComparator(mssql_engine, cache_db_metadata=True)
+    original_delta = cache_comp.compare("first", "second")
+
+    # Change (switch) the tables in the database
+    second.to_sql(
+        "first", mssql_engine, index=False, index_label="id", if_exists="replace"
+    )
+    first.to_sql(
+        "second", mssql_engine, index=False, index_label="id", if_exists="replace"
+    )
+
+    # New comparison should be different
+    changed_delta = SqlMetadataComparator(mssql_engine).compare("first", "second")
+    assert original_delta != changed_delta
+
+    # Cached comparison should be equal to original
+    cached_delta = cache_comp.compare("first", "second")
+    assert cached_delta == original_delta
diff --git a/tests/test_docs_examples.py b/tests/test_docs_examples.py
new file mode 100644
index 0000000..81a7ce8
--- /dev/null
+++ b/tests/test_docs_examples.py
@@ -0,0 +1,334 @@
+# Copyright (c) QuantCo 2024-2024
+# SPDX-License-Identifier: LicenseRef-QuantCo
+from dataclasses import dataclass
+from itertools import chain
+from pathlib import Path
+from typing import Any
+
+import click
+import pandas as pd
+import polars as pl
+import pytest
+import sqlalchemy
+from click.testing import CliRunner
+from pydiverse import pipedag  # type: ignore
+from pydiverse.pipedag import (  # type: ignore
+    Flow,
+    Stage,
+    input_stage_versions,
+    materialize,
+)
+from pydiverse.pipedag.core.config import create_basic_pipedag_config  # type: ignore
+from pydiverse.pipedag.util.structlog import setup_logging  # type: ignore
+
+from tabulardelta import (
+    DetailedTextFormatter,
+    OverviewRowFormatter,
+    PandasComparator,
+    SqlCompyreComparator,
+    SqlMetadataComparator,
+    TabularDelta,
+)
+from tabulardelta.formatters.tabulartext.cell import Cell
+from tabulardelta.formatters.tabulartext.table import Border, Table
+
+sa = sqlalchemy
+
+
+try:
+    from tests.mssql_container.cached_mssql_container import (
+        MsSqlContainer,
+        cached_clean_mssql_container,
+        mssql_engine,
+    )
+except ImportError:
+
+    @pytest.fixture
+    def mssql_engine() -> Any:
+        return "SqlAlchemy or pyodbc not installed."
+
+
+def test_df_example():
+    df_old = df_new = pd.DataFrame()
+    # df_old, df_new = ...
+
+    delta = PandasComparator().compare(df_old, df_new)
+    print(DetailedTextFormatter().format(delta))
+
+
+def test_csv_example():
+    assets_path = Path(__file__).parent / "test_assets"
+
+    df_old = pd.read_csv(assets_path / "week24.csv", index_col=[0, 1])
+    df_new = pd.read_csv(assets_path / "week25.csv", index_col=[0, 1])
+
+    delta = PandasComparator().compare(df_old, df_new)
+    print(DetailedTextFormatter().format(delta))
+
+
+@pytest.mark.sql
+def test_sql_cli_example(mssql_engine: sqlalchemy.Engine):
+    @click.command()
+    @click.argument("old_table")
+    @click.argument("new_table")
+    @click.argument("join_columns", nargs=-1)
+    def compare_sql(old_table: str, new_table: str, join_columns: list[str]):
+        engine = mssql_engine
+        # engine: sqlalchemy.Engine = ...
+
+        delta = SqlCompyreComparator(engine, join_columns).compare(old_table, new_table)
+        print(DetailedTextFormatter().format(delta))
+
+    ################################## TEST EXECUTION ##################################
+    with mssql_engine.connect() as conn:
+        with conn.begin():
+            conn.execute(sqlalchemy.text("CREATE SCHEMA archive"))
+            conn.execute(sqlalchemy.text("CREATE SCHEMA master"))
+    first = pd.DataFrame(
+        {
+            "activity": range(123, 892),
+            "registration": pd.to_datetime("2024-07-18"),
+            "valid_from": pd.Timestamp(year=2000, month=1, day=1),
+            "valid_until": pd.Timestamp(year=9999, month=12, day=31),
+        }
+    )
+    second = pd.DataFrame(
+        {
+            "activity": range(123, 903),
+            "registration_date": pd.to_datetime("2024-07-18"),
+            "free_days_until_registered": 0,
+            "valid_from": pd.Timestamp(year=2000, month=1, day=1),
+            "valid_until": [pd.Timestamp(year=2024, month=6, day=28)] * 12
+            + [pd.Timestamp(year=9999, month=12, day=31)] * 768,
+        }
+    )
+    first.to_sql("registration", mssql_engine, index=False, schema="archive")
+    second.to_sql("registration", mssql_engine, index=False, schema="master")
+
+    result = CliRunner().invoke(
+        compare_sql,
+        ["archive.registration", "master.registration", "activity", "valid_from"],
+    )
+    assert result.stdout == (
+        "---------------------- TabularDelta Report: registration -> registration ----------------------\n"
+        + "                                                                                               \n"
+        + "Joined on ['activity', 'valid_from'].                                                          \n"
+        + "                                                                                               \n"
+        + "Added columns:                                                                                 \n"
+        + "┏━━━━━━━━━━━━━━━━━━━━━━━━━━┓                                                                   \n"
+        + "┃free_days_until_registered┃                                                                   \n"
+        + "┃(BIGINT)                  ┃                                                                   \n"
+        + "┣━━━━━━━━━━━━━━━━━━━━━━━━━━┫                                                                   \n"
+        + "                                                                                               \n"
+        + "Renamed columns:                                                                               \n"
+        + "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓                                                             \n"
+        + "┃registration → registration_date┃                                                             \n"
+        + "┃(DATETIME)                      ┃                                                             \n"
+        + "┣━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┫                                                             \n"
+        + "                                                                                               \n"
+        + "   Old         New                                                                             \n"
+        + "   769         780                                                                             \n"
+        + "┏━┯━┯━┯━┓╌╌╌┏━┯━┯━┯━┓----------------╶╮                                                        \n"
+        + "┃ │ │ │ ┃ = ┃ │ │ │ ┃  757 identical  │ 769                                                    \n"
+        + "┠─┼─┼─┼─┨╌╌╌┠─┼─┼─┼─┨---------------- ├╴rows                                                   \n"
+        + "┃ │ │ │ ┃ ≠ ┃ │ │ │ ┃  12 changed     │ joined                                                 \n"
+        + "┗━┷━┷━┷━┛╌╌╌┠─┼─┼─┼─┨----------------╶╯                                                        \n"
+        + "            ┃+│+│+│+┃  11 added                                                                \n"
+        + "            ┗━┷━┷━┷━┛                                                                          \n"
+        + "                                                                                               \n"
+        + "Column valid_until - 12 rows changed:                                                          \n"
+        + "             valid_until          →  valid_until          example_activity  example_valid_from \n"
+        + "      (12x)  9999-12-31 00:00:00  →  2024-06-28 00:00:00  123               2000-01-01 00:00:00\n"
+        + "                                                                                               \n"
+        + "ADDED ROWS EXAMPLES:                                                                           \n"
+        + "activity│valid_from         │registration_date  │valid_until                                   \n"
+        + "892     │2000-01-01 00:00:00│2024-07-18 00:00:00│9999-12-31 00:00:00                           \n"
+        + "893     │2000-01-01 00:00:00│2024-07-18 00:00:00│9999-12-31 00:00:00                           \n"
+        + "894     │2000-01-01 00:00:00│2024-07-18 00:00:00│9999-12-31 00:00:00                           \n"
+    )
+
+
+ENABLE_BUG = False
+
+
+@materialize
+def data_load():
+    data = {
+        "id": [1, 2, 3],
+        "codes": ["A01", "B02", "A01\t"],
+        "dates": pd.to_datetime(["2024-02-01", "2024-02-02", "2024-02-03"]),
+    }
+    return pipedag.Table(pd.DataFrame(data), name="data_load")
+
+
+@materialize(input_type=pd.DataFrame)
+def clean(data):
+    # No cleaning necessary
+    return pipedag.Table(data, name="clean")
+
+
+@materialize(input_type=pd.DataFrame)
+def weekday_feature(data):
+    data["weekday"] = data["dates"].dt.weekday
+    return pipedag.Table(data[["id", "weekday"]], name="weekday_feature")
+
+
+@materialize(input_type=pd.DataFrame)
+def code_features(data):
+    data["code"] = data["codes"].str.strip(" " if ENABLE_BUG else None)
+    for code in data["code"].unique():
+        data[f"code_{code}"] = data["codes"].str.contains(code)
+    result = data[["id"] + [f"code_{code}" for code in data["code"].unique()]]
+    return pipedag.Table(result, name="code_features")
+
+
+@materialize(input_type=pd.DataFrame)
+def feature_merge(weekday, codes):
+    return pipedag.Table(weekday.merge(codes, on="id"), name="feature_merge")
+
+
+@materialize(input_type=pd.DataFrame)
+def filter(data):
+    # No cleaning necessary
+    return pipedag.Table(data, name="filter")
+
+
+@materialize(input_type=pd.DataFrame)
+def export_dataframe(df):
+    print(df)
+
+
+def row_count(tbl: sa.Table):
+    with MsSqlContainer().get_cache().sqlalchemy_engine().connect() as conn:
+        return conn.execute(sa.select(sa.func.count()).select_from(tbl)).scalar()
+
+
+def col_count(tbl: sa.Table):
+    return len(tbl.columns)
+
+
+@input_stage_versions(input_type=sqlalchemy.Table)
+def validate_stage(
+    tbls: dict[str, sqlalchemy.Table], other_tbls: dict[str, sqlalchemy.Table]
+):
+    comparator = SqlMetadataComparator(MsSqlContainer().get_cache().sqlalchemy_engine())
+    formatter = OverviewRowFormatter(warnings=False)
+    formatter.add_header()
+
+    for common in set(tbls) & set(other_tbls):
+        delta = comparator.compare(tbls[common], other_tbls[common])
+        formatter.format(delta)
+
+    for added in set(tbls) - set(other_tbls):
+        delta = comparator.compare(tbls[added], tbls[added])
+        formatter.add_row("+", added, len(delta.rows.new), len(delta.cols.new))
+
+    formatter.add_legend()
+    print(formatter.table())
+
+
+@pytest.mark.sql
+def test_pipedag_example():
+    url = cached_clean_mssql_container().sqlalchemy_url()
+    cfg = create_basic_pipedag_config(url).get("default")
+    setup_logging()
+
+    with Flow("flow") as flow:
+        with Stage("Features"):
+            data = data_load()
+            cleaned = clean(data)
+            weekday = weekday_feature(cleaned)
+            codes = code_features(cleaned)
+            merge = feature_merge(weekday, codes)
+            filtered = filter(merge)
+            export_dataframe(filtered)
+            validate_stage()
+
+    flow.run(config=cfg)
+    global ENABLE_BUG
+    ENABLE_BUG = True
+    flow.run(config=cfg)
+
+
+@dataclass
+class PolarsComparator:
+    join_columns: list[str] | None = None
+    name: str = ""
+
+    def compare(self, left: pl.DataFrame, right: pl.DataFrame) -> TabularDelta:
+        comparator = PandasComparator(self.join_columns, self.name)
+        return comparator.compare(left.to_pandas(), right.to_pandas())
+
+
+def test_polars_comparator():
+    expected = pl.DataFrame({"id": [1, 2, 3]})
+    observed = pl.DataFrame({"id": [1, 2, 3, 4], "data_column": [1, 2, 3, 4]})
+
+    delta = PolarsComparator(join_columns=["id"]).compare(expected, observed)
+    assert len(delta.rows.added) == 1
+    assert len(delta.cols.added) == 1
+    assert len(delta.rows.equal) == 3
+
+
+def test_tabular_text():
+    row1 = ["Just", "first", "row", Cell(["Two", "Rows"], rowspan=2)]
+    row2 = [Cell(["Second\nRow"], colspan=3), "BottomRight"]
+
+    print("\nDefault border:")
+    print(Table.from_lists([row1, row2]).to_string())
+
+    print("\nDIY border:")
+    inner_border = Border(",,,,  | ,,  + ,  + ,, ---,,  + ,  + ,,  + ,,,,")
+    print(Table.from_lists([row1, row2], inner_border).to_string())
+
+    assert Table.from_lists([row1, row2]).to_string() == (
+        "┏━━━━┯━━━━━┯━━━┯━━━━┯━━━━━━━━━━━┓\n"
+        + "┃Just│first│row│Two │           ┃\n"
+        + "┠────┴─────┴───┤Rows├───────────┨\n"
+        + "┃Second        │    │BottomRight┃\n"
+        + "┃Row           │    │           ┃\n"
+        + "┗━━━━━━━━━━━━━━┷━━━━┷━━━━━━━━━━━┛"
+    )
+    assert Table.from_lists([row1, row2], inner_border).to_string() == (
+        "Just | first | row | Two  |            \n"
+        + "---- + ----- + --- + Rows + -----------\n"
+        + "Second             |      | BottomRight\n"
+        + "Row                |      |            "
+    )
+
+
+class AssertingFormatter:
+    @staticmethod
+    def format(delta: TabularDelta) -> None:
+        type_chgs = chain.from_iterable(
+            (delta.cols.comparable_type_changed, delta.cols.incomparable_type_changed)
+        )
+        changes = [
+            [f"Removed column {c.name}" for c in delta.cols.removed],
+            [f"Added column {c.name}" for c in delta.cols.added],
+            [f"Renamed {c.old.name} -> {c.new.name}" for c in delta.cols.renamed],
+            [f"{c.new.name} changed: {c.old.type} -> {c.new.type}" for c in type_chgs],
+            ["New rows"] * (len(delta.rows.added) > 0),
+            ["Missing rows"] * (len(delta.rows.removed) > 0),
+            ["Changed rows"] * (len(delta.rows.unequal) > 0),
+        ]
+        if flat_changes := list(chain.from_iterable(changes)):
+            raise AssertionError("\n - ".join(flat_changes))
+
+
+def test_example():
+    expected = pd.DataFrame({"id": [1, 2, 3]})
+    # observed = ...
+    observed = pd.DataFrame({"key": [1, 2, 3, 4], "data": ["a", "b", "c", "d"]})
+
+    delta = PandasComparator().compare(expected, expected)
+    AssertingFormatter.format(delta)
+    delta = PandasComparator().compare(observed, observed)
+    AssertingFormatter.format(delta)
+
+    try:
+        delta = PandasComparator().compare(expected, observed)
+        AssertingFormatter.format(delta)
+        raise AssertionError("No Assertion Error Raised")
+    except AssertionError as e:
+        assert str(e) == "Added column data\n - Renamed id -> key\n - New rows"
diff --git a/tests/test_formatters.py b/tests/test_formatters.py
new file mode 100644
index 0000000..cadd77b
--- /dev/null
+++ b/tests/test_formatters.py
@@ -0,0 +1,201 @@
+# Copyright (c) QuantCo 2022-2024
+# SPDX-License-Identifier: LicenseRef-QuantCo
+
+from __future__ import annotations
+
+from typing import Any
+
+import numpy as np
+import pandas as pd
+from numpy import (
+    dtype,
+    ndarray,
+)
+
+from tabulardelta import (
+    DetailedTextFormatter,
+    OverviewRowFormatter,
+)
+from tabulardelta.comparators.tabulardelta_dataclasses import (
+    Column,
+    ColumnPair,
+    TabularDelta,
+)
+
+
+def get_random_tabulardelta(gen: np.random.Generator):
+    def gen_str() -> str:
+        return "".join(gen.choice(list("abcdefghijklmnopqrstuvwxyz"), size=6))
+
+    def gen_dtype(exclude: str | None = None) -> str:
+        dtypes = ["int64", "float64", "object", "bool"]
+        if exclude:
+            dtypes = [dtype for dtype in dtypes if dtype != exclude]
+        return gen.choice(dtypes)
+
+    def gen_col_meta() -> Column:
+        return Column(f"col_{gen_str()}", gen_dtype())
+
+    def gen_col_values(dtype: str, size: int) -> ndarray[Any, dtype[Any]]:
+        if dtype == "int64":
+            return gen.normal(0, 10 ** gen.integers(0, 10), size).astype("int")
+        if dtype == "float64":
+            return gen.normal(0, 10 ** gen.integers(0, 10), size)
+        if dtype == "object":
+            return np.array([gen_str() for _ in range(size)])
+        if dtype == "bool":
+            return gen.choice([True, False], size)
+        if dtype == "uint64":
+            return gen.integers(0, 10 ** gen.integers(0, 8), size) + 1
+        raise NotImplementedError(f"Random data for {dtype}")
+
+    def gen_rows(cols: int, rows: int) -> list[dict[str, Any]]:
+        columns = [gen_str() for _ in range(cols)]
+        types = [gen_dtype() for _ in range(cols)]
+        values = [[gen_col_values(t, rows)[0] for t in types] for _ in range(rows)]
+        return [dict(zip(columns, value)) for value in values]
+
+    def gen_chg_values(
+        chg: ColumnPair, join_columns: list[Column], incomparable: bool = False
+    ) -> ColumnPair:
+        if chg.old is None or chg.new is None:
+            raise ValueError("Can't generate values for non-matched columns.")
+        size = gen.integers(0, 2 ** gen.integers(0, 10))
+        old_renamed = Column(
+            chg.old.name + ("_old" if chg.old.name == chg.new.name else ""),
+            chg.old.type,
+        )
+        indexes = {col.name: gen_col_values(col.type, size) for col in join_columns}
+        df = pd.DataFrame(
+            {
+                old_renamed.name: gen_col_values(chg.old.type, size),
+                chg.new.name: gen_col_values(chg.new.type, size),
+                **indexes,
+                "_count": gen_col_values("uint64", size).astype("int"),
+            }
+        )
+        if gen.random() < 0.5:
+            additional = gen.integers(0, 10 ** gen.integers(0, 8))
+            df.loc[len(df)] = [None] * (2 + len(join_columns)) + [additional]
+            df["_count"] = df["_count"].astype("int")
+        return ColumnPair(chg.old, chg.new, incomparable=incomparable, _values=df)
+
+    def gen_change() -> ColumnPair:
+        old = gen_col_meta()
+        new = old
+        if gen.random() < 0.1:  # RENAMED COLUMN
+            new = Column(f"col_{gen_str()}", new.type)
+        if gen.random() < 0.1:  # CHANGED DTYPE
+            new = Column(new.name, gen_dtype(new.type))
+        return ColumnPair(old, new)
+
+    strings = ["", "short", "LongRepeatingString" * 50]
+    name = gen.choice(strings)
+    warnings = list(gen.choice(strings, int(gen.exponential(3))))
+
+    common = [gen_change() for _ in range(int(gen.exponential(10)))]
+    added_cols = [gen_col_meta() for _ in range(int(gen.exponential(5)))]
+    removed_cols = [gen_col_meta() for _ in range(int(gen.exponential(5)))]
+    join_len = gen.integers(0, len(common) + 1)
+    join_cols: list[Column] = list(
+        gen.choice(np.array([chg.new for chg in common]), join_len, False)
+    )
+    dtype_changes_raw = [
+        chg for chg in common if chg.old and chg.new and chg.old.type != chg.new.type
+    ]
+    uncomp_candidates = [chg for chg in dtype_changes_raw if chg.new not in join_cols]
+    uncomp_len = gen.integers(0, len(uncomp_candidates) + 1)
+    uncomp = gen.choice(np.array(uncomp_candidates), uncomp_len, False)
+    type_changes: list[ColumnPair] = [
+        (
+            gen_chg_values(chg, join_cols, True)
+            if (len(uncomp) > 0 and chg in uncomp)
+            else chg
+        )
+        for chg in dtype_changes_raw
+    ]
+
+    diff_candidates: list[ColumnPair] = [
+        chg
+        for chg in common
+        if (len(uncomp) == 0 or chg not in uncomp) and chg.new not in join_cols
+    ]
+    diff_len = gen.integers(0, len(diff_candidates) + 1)
+    diff_cols = gen.choice(np.array(diff_candidates), diff_len, False)
+    col_differences = [gen_chg_values(chg, join_cols) for chg in diff_cols]
+
+    diff_counts = [len(chg) for chg in col_differences]
+    unequal_rows = gen.integers(max(diff_counts, default=0), sum(diff_counts) + 1)
+
+    added_rows = int(gen.exponential(10 ** gen.integers(10)))
+    removed_rows = int(gen.exponential(10 ** gen.integers(10)))
+    equal_rows = int(gen.exponential(10 ** gen.integers(10)))
+    unknown_rows = int(gen.exponential(10 ** gen.integers(10)))
+    old_rows = removed_rows + equal_rows + unequal_rows + unknown_rows
+    new_rows = added_rows + equal_rows + unequal_rows + unknown_rows
+
+    added = [ColumnPair(None, col) for col in added_cols]
+    removed = [ColumnPair(col, None) for col in removed_cols]
+    join = [ColumnPair(col, col, True) for col in join_cols]
+
+    return TabularDelta(
+        name,
+        f"{name}_old" if gen.random() < 0.5 else None,
+        [],
+        warnings,
+        [],
+        added + removed + join + type_changes + col_differences,
+        old_rows,
+        new_rows,
+        added_rows,
+        removed_rows,
+        equal_rows,
+        unequal_rows,
+        _example_added_rows=gen_rows(
+            gen.choice([1, 5, 15]), gen.choice([0, 10, min(added_rows, 100)])
+        ),
+        _example_removed_rows=gen_rows(
+            gen.choice([1, 5, 15]), gen.choice([0, 10, min(removed_rows, 100)])
+        ),
+    )
+
+
+def test_random_tabulardelta_smoke():
+    print(len(get_random_tabulardelta(np.random.default_rng(42)).rows.unequal))
+
+
+def test_detailed_text_formatter_smoke(sample_size: int = 100):
+    for idx in range(sample_size):
+        delta = get_random_tabulardelta(np.random.default_rng(idx))
+        try:
+            print(DetailedTextFormatter().format(delta))
+        except Exception as e:
+            print(f"Failed on index {idx}/{sample_size}:")
+            print(delta)
+            raise e
+        if idx % 100 == 0:
+            print(f"Completed {idx}/{sample_size}")
+
+
+def test_row_formatter_smoke(sample_size: int = 10):
+    for idx in range(sample_size):
+        gen = np.random.default_rng(idx)
+        size = gen.integers(0, 20)
+        deltas = [get_random_tabulardelta(gen) for _ in range(size)]
+        try:
+            rf = OverviewRowFormatter(
+                gen.choice([True, False]), gen.choice([True, False])
+            )
+            if gen.choice([True, False]):
+                rf.add_header()
+            for delta in deltas:
+                rf.format(delta)
+            if gen.choice([True, False]):
+                rf.add_legend()
+            print(rf.table())
+        except Exception as e:
+            print(f"Failed on index {idx}/{sample_size}:")
+            print(deltas)
+            raise e
+        if idx % 10 == 0:
+            print(f"Completed {idx}/{sample_size}")
diff --git a/tests/test_tabular_text.py b/tests/test_tabular_text.py
new file mode 100644
index 0000000..c51f2e6
--- /dev/null
+++ b/tests/test_tabular_text.py
@@ -0,0 +1,141 @@
+# Copyright (c) QuantCo 2022-2024
+# SPDX-License-Identifier: LicenseRef-QuantCo
+
+from __future__ import annotations
+
+from tabulardelta.formatters.tabulartext.cell import Align, Cell
+from tabulardelta.formatters.tabulartext.table import Border, Table
+
+
+def test_empty() -> None:
+    table = Table.from_lists([])
+    assert table.to_string(add_border=False) == ""
+    assert str(table) == ""
+
+    table = Table.from_lists([[]])
+    assert table.to_string(add_border=False) == ""
+    assert str(table) == ""
+
+    table = Table.from_lists([[""]])
+    assert table.to_string(add_border=False) == ""
+    assert str(table) == "┏┓\n┃┃\n┗┛"
+
+    table = Table.from_lists([[], []])
+    assert table.to_string(add_border=False) == ""
+    assert str(table) == ""
+
+    table = Table.from_lists([[], [], [Cell()]])
+    assert table.to_string(add_border=False) == ""
+    assert str(table) == "┏┓\n┗┛"
+
+    table = Table.from_lists([[""], [], [], [""]])
+    assert table.to_string(add_border=False) == "\n"
+    assert str(table) == "┏┓\n┃┃\n┠┨\n┃┃\n┗┛"
+
+
+def test_table() -> None:
+    content: list[list[str | Cell]] = [
+        [Cell(["This"], colspan=2)],
+        ["", Cell(["is"], colspan=2)],
+        ["", "", Cell(["a"], colspan=2)],
+        [
+            "m\nu\nl\nt\ni\nline",
+            "",
+            Cell(["\n\n\ncolspan\nis\n3"], rowspan=3),
+            Cell(["test"], colspan=2),
+        ],
+        ["..."],
+        ["colspan\nends\nhere", "->\n->\n->"],
+        ["A", "B", "C", "D", "E"],
+        [
+            Cell([], rowspan=3),
+            "",
+            Cell(["."], align=Align.Repeat(), rowspan=3, colspan=3),
+        ],
+        [],
+        [Cell([])],
+        ["The end.", ""],
+    ]
+    table = Table.from_lists(content)
+    assert str(table) == (
+        "┏━━━━━━━━━━━━━━━━┯━━━━━━━┯━┯━━┯┓\n"
+        "┃This            │       │ │  │┃\n"
+        "┠───────┬────────┴───────┼─┼──┼┨\n"
+        "┃       │is              │ │  │┃\n"
+        "┠───────┼────────┬───────┴─┼──┼┨\n"
+        "┃       │        │a        │  │┃\n"
+        "┠───────┼────────┼───────┬─┴──┼┨\n"
+        "┃m      │        │       │test│┃\n"
+        "┃u      │        │       │    │┃\n"
+        "┃l      │        │       │    │┃\n"
+        "┃t      │        │colspan│    │┃\n"
+        "┃i      │        │is     │    │┃\n"
+        "┃line   │        │3      │    │┃\n"
+        "┠───────┼────────┤       ├─┬──┼┨\n"
+        "┃...    │        │       │ │  │┃\n"
+        "┠───────┼────────┤       ├─┼──┼┨\n"
+        "┃colspan│->      │       │ │  │┃\n"
+        "┃ends   │->      │       │ │  │┃\n"
+        "┃here   │->      │       │ │  │┃\n"
+        "┠───────┼────────┼───────┼─┼──┼┨\n"
+        "┃A      │B       │C      │D│E │┃\n"
+        "┠───────┼────────┼───────┴─┴──┼┨\n"
+        "┃       │        │............│┃\n"
+        "┃       ├────────┤............├┨\n"
+        "┃       ├────────┤............├┨\n"
+        "┃       │The end.│............│┃\n"
+        "┗━━━━━━━┷━━━━━━━━┷━━━━━━━━━━━━┷┛"
+    )
+
+
+def test_only_vertical_borders() -> None:
+    content: list[list[str | Cell]] = [
+        [Cell(["This"], colspan=2)],
+        ["", Cell(["is"], colspan=2)],
+        ["", "", Cell(["a"], colspan=2)],
+        [
+            "m\nu\nl\nt\ni\nline",
+            "",
+            Cell(["\n\n\ncolspan\nis\n3"], rowspan=3),
+            Cell(["test"], colspan=2),
+        ],
+        ["..."],
+        ["colspan\nends\nhere", "->\n->\n->"],
+        ["A", "B", "C", "D", "E"],
+        [
+            Cell([], rowspan=3),
+            "",
+            Cell(["."], align=Align.Repeat(), rowspan=3, colspan=3),
+        ],
+        [],
+        ["The end.", ""],
+    ]
+    border = Border(
+        """
+ ┏,.━, ┯, ┓,.│,
+.┠,.┬,.┤,.┃,.─,
+.┃,.├,.┴,.┨,.┼,
+ ┗, ┷,.━, ┛
+"""
+    )
+    table = Table.from_lists(content, border)
+    assert str(table) == (
+        "┏━━━━━━━━━━━━━━━━┯━━━━━━━┯━┯━━┯┓\n"
+        "┃This            │       │ │  │┃\n"
+        "┃       │is              │ │  │┃\n"
+        "┃       │        │a        │  │┃\n"
+        "┃m      │        │       │test│┃\n"
+        "┃u      │        │       │    │┃\n"
+        "┃l      │        │       │    │┃\n"
+        "┃t      │        │colspan│    │┃\n"
+        "┃i      │        │is     │    │┃\n"
+        "┃line   │        │3      │    │┃\n"
+        "┃...    │        │       │ │  │┃\n"
+        "┃colspan│->      │       │ │  │┃\n"
+        "┃ends   │->      │       │ │  │┃\n"
+        "┃here   │->      │       │ │  │┃\n"
+        "┃A      │B       │C      │D│E │┃\n"
+        "┃       │        │............│┃\n"
+        "┃       │The end.│............│┃\n"
+        "┗━━━━━━━┷━━━━━━━━┷━━━━━━━━━━━━┷┛"
+    )