Comparing
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Lightning-fast ASGI server for running async Python web apps (FastAPI, Starlette).
| Metric | fastapi | uvicorn |
|---|---|---|
| Ecosystem | Python | Python |
| Difficulty | Beginner | Beginner |
| Weekly downloads | 0 | 7.2M↑ |
| Latest version | v0.135.2 | v0.30.6 |
| Recipes | 1 | 2↑ |
fastapi only
Shared
uvicorn only
Use FastAPI when building REST or GraphQL APIs in Python, especially when you need async support, automatic OpenAPI/Swagger docs, request validation, or are building microservices. It's the best choice for new Python API projects.
Running any ASGI framework: FastAPI, Starlette, Django Channels, Litestar. Development server with hot reload. Production with Gunicorn+uvicorn workers.
FastAPI is API-only — it has no templating, admin interface, or ORM. For full-stack web apps with server-rendered HTML, Django is better. For tiny internal tools, Flask's smaller learning curve might be preferable.
WSGI apps (Flask, Django without Channels) — use gunicorn with sync workers instead.
fastapi
uvicorn