uvicorn

To add to this, async in Python is also plain buggy. For example, uvicorn is the most popular FastAPI server, and it leaks contexts across requests in the default installation. The bug has been open for 2 years, with zero fucks given. The workaround is "just use libuv": https://github.com/encode/uvicorn/issues/2167 I've seen other such cases, and I just gave up on trying to use async.

Flask has been around much longer than FastAPI and, as a result, is a much more mature framework. Some examples: - There's a memory leak with a particular combination of packages FastAPI [0] - Before Pydantic v2, you would validate your data on input (when it's stored in the db) and then every single time on retrieval. There is no way to skip validation, for example, when you are generating a response on data that was already validated when it was persisted to the db. [1] - FastAPI has documentation only in the form of tutorials. There is no API documentation and if something is not clear looking through the source code is the only option - You need ORJSON for maximum serialisation performance (perhaps this has changed with Pydantic v2) [2] - Using FastAPI with uvicorn doesn't respect log format settings [3] I don't mean to imply that Fas

You should also check out starlette and other supporting projects that Tom Christie (of DRF fame) is working on right now. Both FastAPI and Responder are thin wrappers around starlette. Tom Christie has been quietly building what's starting to look like an async first decoupled version of django: - https://github.com/encode/starlette - https://github.com/encode/orm - https://github.com/encode/typesystem - https://github.com/encode/databases - https://github.com/encode/apistar - https://github.com/encode/uvicorn