TortoiseORM
AsyncIO ORM for python, built with relations in mind
TortoiseORM launched on December 24, 2021 with 5 votes, #1,334 of 2,707 launches that month. The site was still online in September 2026, 4 years on.
What it does
Tortoise ORM is an easy-to-use asyncio ORM (Object Relational Mapper) inspired by Django
Familiar asyncio ORM for python, built with relations in mind - tortoise/tortoise-orm
Does a similar job
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Oxyde – Pydantic-native async ORM with a Rust coreMar 2026 · github.com · ▲155Hi HN! I built Oxyde because I was tired of duplicating my models. If you use FastAPI, you know the drill. You define Pydantic models for your API, then define separate ORM models for your database, then write converters between them. SQLModel tries to fix this but it's still SQLAlchemy underneath. Tortoise gives you a nice Django-style API but its own model system. Django ORM is great but welded to the framework. I wanted something simple: your Pydantic model IS your database model. One class, full validation on input and output, native type hints, zero duplication. The query API is…
- OAOrator – An ActiveRecord ORM for Python2015 · orator-orm.com · ▲16
The Orator ORM provides a simple yet beautiful ActiveRecord implementation to Python.
An ORM for Python objects, inspired by Django2017 · github.com · ▲13Python without ifs and buts - an ORM layer for Python objects, inspired by Django - onyb/reobject
HTTP/2 Python-Asyncio Web Microframework2018 · gitlab.com · ▲173
WebRTC implementation for Python using Asyncio2018 · github.com · ▲216WebRTC and ORTC implementation for Python using asyncio - jlaine/aiortc
EnrichMCP – A Python ORM for Agents2025 · github.com · ▲133I've been working with the Featureform team on their new open-source project, [EnrichMCP][1], a Python ORM framework that helps AI agents understand and interact with your data in a structured, semantic way. EnrichMCP is built on top of [MCP][2] and acts like an ORM, but for agents instead of humans. You define your data model using SQLAlchemy, APIs, or custom logic, and EnrichMCP turns it into a type-safe, introspectable interface that agents can discover, traverse, and invoke. It auto-generates tools from your models, validates all I/O with Pydantic, handles relationships, and…
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