An efficient implementation of a rate limiter for asyncio.
This project implements the Leaky bucket algorithm, giving you precise control over the rate a code section can be entered:
from aiolimiter import AsyncLimiter # allow for 100 concurrent entries within a 30 second window rate_limit = AsyncLimiter(100, 30) async def some_coroutine(): async with rate_limit: # this section is *at most* going to entered 100 times # in a 30 second period. await do_something()
It was first developed as an answer on Stack Overflow.
$ pip install aiolimiter
The library requires Python 3.7 or newer.
- Python >= 3.7
aiolimiter is offered under the MIT license.
The project is hosted on GitHub.
Please file an issue in the bug tracker if you have found a bug or have some suggestions to improve the library.
This project uses poetry to manage dependencies, testing and releases. Make sure you have installed that tool, then run the following command to get set up:
poetry install --with docs && poetry run doit devsetup
Apart from using
poetry run doit devsetup, you can either use
poetry shell to enter a shell environment with a virtualenv set up for you, or use
poetry run ... to run commands within the virtualenv.
Tests are run with
tox. Releases are made with
poetry build and
poetry publish. Code quality is maintained with
pre-commit runs quick checks to maintain the standards set.
A series of
doit tasks are defined; run
poetry run doit list (or
doit list with
poetry shell activated) to list them. The default action is to run a full linting, testing and building run. It is recommended you run this before creating a pull request.