ORMs for Python Projects
Object-Relational Mapping tools for database interactions in Python.
3 projects available
Which Python ORM Should I Use?
Choose SQLAlchemy for complex, production-grade applications — it handles any database backend and supports both a full ORM and raw SQL expressions, making it the most versatile choice for data engineering pipelines. Use Django ORM inside Django projects; it integrates seamlessly with migrations, admin, and Django's authentication system. Peewee is ideal for lightweight services where you want a simpler, less verbose ORM with minimal setup. For async applications using FastAPI or asyncio, Tortoise ORM offers a Django-like API built natively for async workflows. Pony ORM is a good fit if you prefer writing queries as Python generator expressions. For most new projects, SQLAlchemy or Tortoise ORM covers the majority of use cases.
Database Operations with SQLAlchemy
intermediateLearn the most popular Python ORM by building a complete database application with SQLAlchemy. Master model definitions, database sessions, CRUD operations, and query building. Essential skills for any data engineer working with relational databases in Python.
Web Application Database with Django ORM
intermediateBuild database-backed applications using Django's powerful built-in ORM. Learn to define models, use Django's admin interface, perform queries with the QuerySet API, and leverage Django's migrations system - perfect for full-stack data applications.
Lightweight Database Access with Peewee
beginnerDiscover Peewee, a small and expressive ORM perfect for simpler database applications. Learn to define models, query databases, and perform CRUD operations with minimal boilerplate code - ideal for scripts, small applications, and rapid prototyping.