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Object-Relational Mapping tools for database interactions in Python.
Object-Relational Mapping (ORM) in Python is a programming technique used to convert data between incompatible type systems in object-oriented programming languages and relational databases. ORMs in Python allow developers to interact with a database using Pythonic objects instead of writing SQL queries. This abstraction facilitates data manipulation and management, making database operations more intuitive and integrated within the Python code. ORMs serve as a bridge between the Python code and the database, enabling developers to perform CRUD (Create, Read, Update, Delete) operations on the database without having to write verbose SQL syntax.
Python SQL Toolkit & ORM
Widely used ORM library providing a full suite of enterprise-level persistence patterns. Designed for efficient, high-performing database access with flexible SQL abstraction.
Django's Built-in ORM
Part of Django web framework, allows defining data models entirely in Python. Provides powerful abstraction layer to translate Python code to SQL seamlessly.
Async ORM for Python
Easy-to-use asyncio ORM inspired by Django. Designed for async/await syntax, making it perfect for asynchronous applications and modern Python development.
Lightweight Async ORM
Lightweight and async-ready ORM designed to work with FastAPI and Starlette. Particularly suited for applications requiring asynchronous database operations with minimal overhead and modern Python async/await patterns.