Skip to content
forked from ploomber/ploomber

The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

License

Notifications You must be signed in to change notification settings

yafimvo/ploomber

 
 

Repository files navigation

CI Linux CI macOS CI Windows Documentation Status PyPI Conda (channel only) Conda Coverage Twitter Downloads

Join our community | Newsletter | Contact us | Docs | Blog | Website | YouTube

Ploomber is the fastest way to build data pipelines ⚡️. Use your favorite editor (Jupyter, VSCode, PyCharm) to develop interactively and deploy ☁️ without code changes (Kubernetes, Airflow, AWS Batch, and SLURM). Do you have legacy notebooks? Refactor them into modular pipelines with a single command.

Get Started

Installation

Compatible with Python 3.7 and higher.

Install with pip:

pip install ploomber

Or with conda:

conda install ploomber -c conda-forge

Getting started

Try the tutorial:

Open In JupyterLab

Community

Main Features

⚡️ Get started quickly

A simple YAML API to get started quickly, a powerful Python API for total flexibility.

get-started.mp4

⏱ Shorter development cycles

Automatically cache your pipeline’s previous results and only re-compute tasks that have changed since your last execution.

shorter-cycles.mp4

☁️ Deploy anywhere

Run as a shell script in a single machine or distributively in Kubernetes, Airflow, AWS Batch, or SLURM.

deploy.mp4

📙 Automated migration from legacy notebooks

Bring your old monolithic notebooks, and we’ll automatically convert them into maintainable, modular pipelines.

refactor.mp4

I want to migrate my notebook.

Show me a demo.

Resources

About Ploomber

Ploomber is a big community of data enthusiasts pushing the boundaries of Data Science and Machine Learning tooling.

Whatever your skillset is, you can contribute to our mission. So whether you're a beginner or an experienced professional, you're welcome to join us on this journey!

Click here to know how you can contribute to Ploomber.

About

The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 96.6%
  • HTML 3.1%
  • Other 0.3%