Python webserver performance comparison
This repository holds some benchmarking configuration for a number of popular python webserver configurations:
- nginx and aiohttp
- nginx, gunicorn and flask
- nginx, uvicorn and starlette
- nginx, uwsgi and flask
These are benchmarked by apache-bench.
The nginx configuration is included, which listens on port 8001.
The servers are run from shell scripts.
This variable controls how many workers are started. Most of the async servers
don't benefit from many more workers than cores available. Most of the sync
workers do benefit from this though (often 2*
nproc) is a good starting point.
Except for Daphne - see below.
Daphne doesn't have a front facing proxy and so requires nginx to do the load balancing. Not a bad idea but means that to test it you need to edit nginx's conf and start multiple instances.
Some terminals are quite slow, for example gnome-terminal. Many of the wsgi
servers output an access log to either stdout and stderr (uwsgi, daphne and
uvicorn) - that needs to be redirected to a
/dev/null to ensure a fair
Test data is generated by
gen_test_data.py to produce a CSV which you then
copy into a postgres database that has