Pony is an advanced object-relational mapper. The most interesting feature of Pony is its ability to write queries to the database using Python generator expressions. Pony analyzes the abstract syntax tree of the generator expression and translates it into a SQL query.
Here is an example query in Pony:
select(p for p in Product if p.name.startswith('A') and p.cost <= 1000)
Pony translates queries to SQL using a specific database dialect. Currently Pony works with SQLite, MySQL, PostgreSQL and Oracle databases.
By providing a Pythonic API, Pony facilitates fast app development. Pony is an easy-to-learn and easy-to-use library. It makes your work more productive and helps to save resources. Pony achieves this ease of use through the following:
- Compact entity definitions
- The concise query language
- Ability to work with Pony interactively in a Python interpreter
- Comprehensive error messages, showing the exact part where an error occurred in the query
- Displaying of the generated SQL in a readable format with indentation
All this helps the developer to focus on implementing the business logic of an application, instead of struggling with a mapper trying to understand how to get the data from the database.
See the example here
Pony ORM also has the Entity-Relationship Diagram Editor which is a great tool for prototyping. You can create your database diagram online at https://editor.ponyorm.com, generate the database schema based on the diagram and start working with the database using declarative queries in seconds.
Documenation is available at https://docs.ponyorm.com The documentation source is avaliable at https://github.com/ponyorm/pony-doc. Please create new documentation related issues here or make a pull request with your improvements.
Pony ORM is released under the Apache 2.0 license.
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Copyright (c) 2018 Pony ORM, LLC. All rights reserved. team (at) ponyorm.com