fastapi-users 9.2.5

Ready-to-use and customizable users management for FastAPI

FastAPI Users

Ready-to-use and customizable users management for FastAPI

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

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

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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
  • SQLAlchemy ORM async backend included
  • MongoDB async backend included thanks to mongodb/motor
  • Tortoise ORM backend included
  • ormar backend included
• Multiple customizable authentication backends
  • Transports: Authorization header, Cookie
  • Strategies: JWT, Database, Redis
• Full OpenAPI schema support, even with several authentication backends

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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 ✨☕️

Thanks goes to these wonderful people (emoji key):

François Voron 🚧	Paolo Dina 💵 💻	Dmytro Ohorodnik 🐛	Matthew D. Scholefield 🐛	roywes 🐛 💻	Satwik Kansal 📖	Edd Salkield 💻 📖
mark-todd 💻 📖	lill74 🐛 💻 📖	SelfhostedPro 🛡️ 💻	Oskar Gmerek 📖	Martin Collado 🐛 💻	Eric Lopes 📖 🛡️	Beau Breon 💻
Niyas Mohammed 📖	prostomarkeloff 📖 💻	Marius Mézerette 🐛 🤔	Nickolas Grigoriadis 🐛	Open Data Coder 🤔	Mohammed Alshehri 🤔	Tyler Renelle 🤔
collerek 💻	Robert Bracco 💵	Augusto Herrmann 📖	Smithybrewer 🐛	silllli 📖	alexferrari88 💵	sandalwoodbox 🐛
Vlad Hoi 📖	Joe Nudell 🐛	Ben 💻	BoYanZh 📖	David Brochart 📖 💻	Daan Beverdam 💻	Stéphane Raimbault ⚠️ 🐛
Sondre Lillebø Gundersen 📖	Maxim 📖 🐛	scottdavort 💵	John Dukewich 📖	Yasser Tahiri 💻	Brandon H. Goding 💻	PovilasK 💻
Just van den Broecke 💵	jakemanger 🐛 💻	Ikko Ashimine 💻	Matyáš Richter 💻	Hazedd 🐛 📖	Luis Roel 💵	Alexandr Makurin 💻 🐛
Leon Thurner 📖	Goran Mekić 📦	Gaganpreet 💻

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

Alternatively, you can run pytest yourself.

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.