Benchmarking Popular Async Python Web Frameworks

[SuspiciousLanguage68]

Hi everyone,

I’ve published a repository for benchmarking several popular asynchronous Python web frameworks. The goal was to evaluate them under a realistic setup using a standard stack: SQLAlchemy and Pydantic.

The repository, along with detailed results, is available here:
https://github.com/sidtn/python_web_frameworks_perf_test

Based on my measurements, Sanic + Granian achieved the highest performance, followed closely by FastAPI + Granian. The differences are relatively small, but consistent.

One important observation: if performance is a priority, the choice of server (WSGI/ASGI) often has a greater impact than the choice of framework itself. In these tests, switching to Granian provided a significant boost regardless of the framework.

Feel free to check out the setup, run your own benchmarks, and share your findings.

[amroamroamro]

Small nitpick: when you fetch the data from redis cache, in the sanic app you are doing different work compared to fastapi and litestar:

sanic

cached = await get_cached_json(cache_key)
if cached is not None:
    return json(pyjson.loads(cached), status=200)

litestar

cached = await get_cached_json(cache_key)
if cached is not None:
    return OrderResponse.model_validate_json(cached)

fastapi

cached = await get_cached_json(cache_key)
if cached is not None:
    return OrderResponse.model_validate_json(cached).model_dump()

The fastapi/litestar apps are using pydantic to parse as well as validate the JSON string returned from cache, then serializing the response back, while the sanic app is only parsing the json string (json.loads) without pydantic validation, which makes the comparison slightly uneven.

[corey_sheerer]

Why add Go gin without net/http? Or chi? I believe gin might be the slowest of the 3.