KO | EN

GitLite

Minimalist Open Source Repository Search Engine

gitlite — search

#dsh #dsh-plugin #ai-agents #developer-tools #codex #claude-code #mcp #rust #deepseek-harness #typescript #ai-agent #cli

python-web-perf

★ 111 Open GitHub ↗

Code for testing performance of popular python webservers

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# 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.

## $PWPWORKERS

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

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.

https://github.com/django/daphne/issues/79#issuecomment-278188287

## Slow ttys

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
comparison.

## Test data

Test data is generated by `gen_test_data.py` to produce a CSV which you then
copy into a postgres database that has `schema.sql` loaded.

## Outcomes

In `/runs`

python-web-perf

Explore Similar Repositories

Was this content helpful?

Recent Feedback

Download README