Skip to main content

Ready-to-use and customizable users management for FastAPI.

Project description

FastAPI Users

FastAPI Users

Ready-to-use and customizable users management for FastAPI

build codecov PyPI version Downloads

All Contributors


Documentation: https://fastapi-users.github.io/fastapi-users/

Source Code: https://github.com/fastapi-users/fastapi-users


Add quickly a registration and authentication system to your FastAPI project. FastAPI Users is designed to be as customizable and adaptable as possible.

Features

  • Extensible base user model
  • Ready-to-use register, login, reset password and verify e-mail routes
  • Ready-to-use social OAuth2 login flow
  • Dependency callables to inject current user in route
  • Pluggable password validation
  • Customizable database backend
  • Multiple customizable authentication backends
    • Transports: Authorization header, Cookie
    • Strategies: JWT, Database, Redis
  • Full OpenAPI schema support, even with several authentication backends

๐Ÿ“š Discover my book: Building Data Science Applications with FastAPI

Building Data Science Applications with FastAPI

Develop, manage, and deploy efficient machine learning applications with Python

What is this book about?

This book covers the following exciting features:

  • Explore the basics of modern Python and async I/O programming
  • Get to grips with basic and advanced concepts of the FastAPI framework
  • Implement a FastAPI dependency to efficiently run a machine learning model
  • Integrate a simple face detection algorithm in a FastAPI backend
  • Integrate common Python data science libraries in a web backend
  • Deploy a performant and reliable web backend for a data science application

If you feel this book is for you, get your copy today!

Contributors and sponsors โœจโ˜•๏ธ

Thanks goes to these wonderful people (emoji key):


Franรงois Voron

๐Ÿšง

Paolo Dina

๐Ÿ’ต ๐Ÿ’ป

Dmytro Ohorodnik

๐Ÿ›

Matthew D. Scholefield

๐Ÿ›

roywes

๐Ÿ› ๐Ÿ’ป

Satwik Kansal

๐Ÿ“–

Edd Salkield

๐Ÿ’ป ๐Ÿ“–

mark-todd

๐Ÿ’ป ๐Ÿ“–

lill74

๐Ÿ› ๐Ÿ’ป ๐Ÿ“–

SelfhostedPro

๐Ÿ›ก๏ธ ๐Ÿ’ป

Oskar Gmerek

๐Ÿ“–

Martin Collado

๐Ÿ› ๐Ÿ’ป

Eric Lopes

๐Ÿ“– ๐Ÿ›ก๏ธ

Beau Breon

๐Ÿ’ป

Niyas Mohammed

๐Ÿ“–

prostomarkeloff

๐Ÿ“– ๐Ÿ’ป

Marius Mรฉzerette

๐Ÿ› ๐Ÿค”

Nickolas Grigoriadis

๐Ÿ›

Open Data Coder

๐Ÿค”

Mohammed Alshehri

๐Ÿค”

Tyler Renelle

๐Ÿค”

collerek

๐Ÿ’ป

Robert Bracco

๐Ÿ’ต

Augusto Herrmann

๐Ÿ“–

Smithybrewer

๐Ÿ›

silllli

๐Ÿ“–

alexferrari88

๐Ÿ’ต

sandalwoodbox

๐Ÿ›

Vlad Hoi

๐Ÿ“–

Joe Nudell

๐Ÿ›

Ben

๐Ÿ’ป

BoYanZh

๐Ÿ“–

David Brochart

๐Ÿ“– ๐Ÿ’ป

Daan Beverdam

๐Ÿ’ป

Stรฉphane Raimbault

โš ๏ธ ๐Ÿ›

Sondre Lillebรธ Gundersen

๐Ÿ“–

Maxim

๐Ÿ“– ๐Ÿ›

scottdavort

๐Ÿ’ต

John Dukewich

๐Ÿ“–

Yasser Tahiri

๐Ÿ’ป

Brandon H. Goding

๐Ÿ’ป

PovilasK

๐Ÿ’ป

Just van den Broecke

๐Ÿ’ต

jakemanger

๐Ÿ› ๐Ÿ’ป

Ikko Ashimine

๐Ÿ’ป

Matyรกลก Richter

๐Ÿ’ป

Hazedd

๐Ÿ› ๐Ÿ“–

Luis Roel

๐Ÿ’ต

This project follows the all-contributors specification. Contributions of any kind welcome!

Development

Setup environment

You should create a virtual environment and activate it:

python -m venv venv/
source venv/bin/activate

And then install the development dependencies:

pip install -r requirements.dev.txt

Run unit tests

You can run all the tests with:

make test

The command will start a MongoDB container for the related unit tests. So you should have Docker installed.

Alternatively, you can run pytest yourself. The MongoDB unit tests will be skipped if no server is available on your local machine:

pytest

There are quite a few unit tests, so you might run into ulimit issues where there are too many open file descriptors. You may be able to set a new, higher limit temporarily with:

ulimit -n 2048

Format the code

Execute the following command to apply isort and black formatting:

make format

License

This project is licensed under the terms of the MIT license.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fastapi-users-9.2.1.tar.gz (103.1 kB view hashes)

Uploaded Source

Built Distribution

fastapi_users-9.2.1-py3-none-any.whl (33.8 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page