Python ORM Libraries
Python ORM Libraries
Python ORM libraries provide a balance between simplicity and powerful features. SQLAlchemy is the most comprehensive and flexible, Django ORM is tightly integrated with the Django framework. Peewee is lightweight and easy to learn, while Tortoise ORM natively supports asynchronous operations. They cater to various use cases from data science to web applications.
GitHub Star Comparison
No | Name | GitHub Stars | Description | Trend | License | Type | Official Site |
---|---|---|---|---|---|---|---|
1 | Django ORM | ⭐ 84.2k | Django ORM is the Active Record style ORM of the Django framework. It features model-driven database design, automatic migrations, and deep integration with the admin interface, supporting PostgreSQL, MySQL, SQLite, Oracle, and more. | stable | BSD-3-Clause | Library | Official |
2 | Peewee | ⭐ 11.6k | Peewee is a simple and lightweight ORM (Object-Relational Mapping) library for Python designed as "a lightweight and expressive ORM." It's optimized for small to medium-scale projects, featuring simple syntax and a low learning curve. Supporting SQLite, MySQL, and PostgreSQL, it provides an intuitive Django-like API while being lighter than SQLAlchemy and ideal for prototyping. Its evaluation stems from being more accessible and streamlined for rapid development. | stable | MIT | Library | Official |
3 | SQLAlchemy | ⭐ 10.8k | SQLAlchemy is known as "The Database Toolkit for Python" and is the oldest and most mature ORM library in Python. True to its name "SQL + Alchemy," it enables diverse database programming and automates SQL statement construction. Supporting major database engines like MySQL, PostgreSQL, and SQLite, it provides flexible development support through three levels of abstraction. | stable | MIT | Library | Official |
4 | Tortoise ORM | ⭐ 5.2k | Tortoise ORM is an async ORM for Python with Django ORM-inspired API, built from scratch for asyncio. It provides optimal compatibility with async frameworks like FastAPI, Starlette, and Sanic. | stable | Apache-2.0 | Library | Official |
5 | MongoEngine | ⭐ 4.3k | MongoEngine is an Object-Document Mapper (ODM) for operating MongoDB with Python. It provides functionality similar to relational database ORMs for document-oriented databases, intuitively realizing mapping between Python objects and MongoDB documents. Through Django-like query syntax, powerful schema definition, validation features, and support for complex document structures, it streamlines NoSQL application development. It provides comprehensive functionality for enterprise-level requirements including Django integration, multi-database support, and index management. | stable | MIT | Library | Official |
6 | Pony ORM | ⭐ 3.8k | Pony ORM is an innovative Python ORM library designed as a "unique ORM that allows writing SQL queries in Pythonic syntax". Its greatest feature is the ability to write database queries intuitively using Python generator expressions and lambda functions. With an approach that sets it apart from traditional ORMs, you can write complex queries with just Python knowledge without knowing SQL, earning high praise in educational settings and small-to-medium scale projects. | stable | Apache-2.0 | Library | Official |