Comparing
High-level concurrency and networking framework on top of asyncio or Trio
Lightning-fast ASGI server for running async Python web apps (FastAPI, Starlette).
| Metric | anyio | uvicorn |
|---|---|---|
| Ecosystem | Python | Python |
| Difficulty | Beginner | Beginner |
| Weekly downloads | 0 | 7.2M↑ |
| Latest version | v4.13.0 | v0.30.6 |
| Recipes | 1 | 2↑ |
anyio only
Shared
uvicorn only
Use anyio when writing an async library or framework that you want to be runtime-agnostic. It's also useful in applications that want trio's structured concurrency model but need to interop with asyncio-based libraries like FastAPI or aiohttp.
Running any ASGI framework: FastAPI, Starlette, Django Channels, Litestar. Development server with hot reload. Production with Gunicorn+uvicorn workers.
For application code that commits to asyncio (e.g. a FastAPI app), using asyncio directly is simpler — there's no need for the compatibility layer. anyio shines at the library level, not the application level.
WSGI apps (Flask, Django without Channels) — use gunicorn with sync workers instead.
anyio
uvicorn