PyDocAI
AI docs from your Python code in seconds
PyDocAI launched on June 16, 2026 with 3 votes, #6,658 of 22,647 launches that month and more than 50% of that year's launches.
What it does
PyDocAI automatically parses your Python code using AST and generates comprehensive documentation powered by AI. Supports single files, zip archives, and GitHub repos. Works with any Python project — Django, Flask, FastAPI, or plain scripts.
PyDocAI — Automatically generate professional documentation for your Django projects using AI. Upload files, paste code, or connect a Git repo.
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FastOpenAPI – automated docs for many Python frameworks2025 · github.com · ▲153FastOpenAPI is a library for generating and integrating OpenAPI schemas using Pydantic v2 and various frameworks (AioHttp, Django, Falcon, Flask, Quart, Sanic, Starlette, Tornado). - mr-fatalyst/fastopenapi
FastAPI: build Python APIs with Go-like speed and automatic UI docs2019 · fastapi.tiangolo.com · ▲88FastAPI framework, high performance, easy to learn, fast to code, ready for production
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…


AI-powered web service combining FastAPI, Pydantic-AI, and MCP servers2025 · github.com · ▲46Hey all! I recently gave a workshop talk at PyCon Greece 2025 about building production-ready agent systems. To check the workshop, I put together a demo repo: (I will add the slides too soon in my blog: https://www.petrostechchronicles.com/) https://github.com/Aherontas/Pycon_Greece_2025_Presentation_... The idea was to show how multiple AI agents can collaborate using FastAPI + Pydantic-AI, with protocols like MCP (Model Context Protocol) and A2A (Agent-to-Agent) for safe communication and orchestration. Features: - Multiple agents running in containers -…
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