Skip to content

aschenkuttel/slowapi

This branch is 1 commit ahead of, 113 commits behind laurentS/slowapi:master.

Folders and files

NameName
Last commit message
Last commit date

Latest commit

b44351d · Apr 12, 2022
Feb 1, 2022
Jan 18, 2022
Apr 12, 2022
Jan 16, 2022
Feb 1, 2022
Oct 1, 2020
Aug 28, 2021
Feb 21, 2020
Sep 14, 2021
Dec 23, 2020
Feb 1, 2022
Feb 1, 2022

Repository files navigation

SlowApi

A rate limiting library for Starlette and FastAPI adapted from flask-limiter.

Note: this is alpha quality code still, the API may change, and things may fall apart while you try it.

The documentation is on read the docs.

Quick start

Installation

slowapi is available from pypi so you can install it as usual:

$ pip install slowapi

Features

Most feature are coming from FlaskLimiter and the underlying limits.

Supported now:

  • Single and multiple limit decorator on endpoint functions to apply limits
  • redis, memcached and memory backends to track your limits (memory as a fallback)
  • support for sync and async HTTP endpoints
  • Support for shared limits across a set of routes

Limitations and known issues

  • The request argument must be explicitly passed to your endpoint, or slowapi won't be able to hook into it. In other words, write:
    @limiter.limit("5/minute")
    async def myendpoint(request: Request)
        pass

and not:

    @limiter.limit("5/minute")
    async def myendpoint()
        pass
  • websocket endpoints are not supported yet.

Developing and contributing

PRs are more than welcome! Please include tests for your changes :)

The package uses poetry to manage dependencies. To setup your dev env:

$ poetry install

To run the tests:

$ pytest

Credits

Credits go to flask-limiter of which SlowApi is a (still partial) adaptation to Starlette and FastAPI. It's also important to mention that the actual rate limiting work is done by limits, slowapi is just a wrapper around it.

About

A rate limiter for Starlette and FastAPI

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 100.0%