fastapi-azure-auth
FastUI
| fastapi-azure-auth | FastUI | |
|---|---|---|
| 17 | 10 | |
| 390 | 7,292 | |
| 2.1% | 3.5% | |
| 7.6 | 9.0 | |
| about 1 month ago | 6 days ago | |
| Python | Python | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
fastapi-azure-auth
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FastUI: Build Better UIs Faster
I'm under the impression that you work for a company that sells services related to FastAPI? https://github.com/Intility/fastapi-azure-auth
I maintain an open source library in my spare time for free, that you are welcome to ignore if you find better alternatives.
- Implement AzureAD in 10 minutes with FastAPI-Azure-Auth - full tutorial in the documentation
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FastAPI Azure Auth 🔒 Now supports B2C (as well as single- and multi-tenant applications)
The documentation has a full tutorial in “Tiangolo-style”, which means it guided through setting up a project from scratch, and how to configure Azure appregs from scratch.
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Ask HN: Good Python projects to read for modern Python?
I think, in general, most FastAPI and Pydantic related libraries are heavily typed, use poetry, GitHub pipelines, black, isort, flake8 etc. so if you want to look at the ecosystem around a package I’ll recommend a few here, that has a smaller scope than the huge libraries Pydantic/FastAPI are. All packages listed below has all these things.
FastAPI-Azure-Auth [0] is a library to do authentication and authorization through Azure AD using tokens.
ASGI—Correlation-ID[1] is a package that utilizes contextvars to store information through the asyncio stack, in order to attach correlation/request ID to every log message from a request. Available for Django in [2].
Pydantic-factories [3] is an awesome library to mock data for your pydantic models.
[0] https://github.com/Intility/fastapi-azure-auth
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OAuth2 authorization with other flows beyond password.
If you want to use an external auth provider, I have written a library called FastAPI-Azure-Auth for authentication and authorization using Azure AD (which is free for something like 10.000 users). The tutorial should get you up and running quickly. Please note that this library is only intended to use for APIs (such as I sing a SPA frontend), so if you use jinja templates or render HTML from FastAPI this might not be the solution for you.
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FastAPI Azure AD Authentication 🔒 Now supports both single- and multi-tenants applications
Hi! I’m the author of FastAPI-Azure-Auth, a package to handle Azure AD authentication and authorization for your FastAPI APIs. It’s a heavily tested package, supports trio, and the documentation has a full tutorial on how to set up both Azure and FastAPI from scratch.
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Tips for Making a Popular Open-Source Project in 2021 [Ultimate Guide]
I agree with you. Most my packages are around ~100 stars, and I'm met with a lot of respect and appreciatio.n[1][2]
My library for Correlation-IDs in Django[3] got implemented by AWX, which also was a nice experience![4] I maintain a lot of small packages, and maybe it is the Django/FastAPI community, but "you'll get a load of entitled users" is straight up not true in my experience.
[1] https://github.com/Intility/fastapi-azure-auth/issues/24
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Show HN: Implement Azure AD auth for your FastAPI
The documentation[1] contains a full tutorial on how to configure Azure AD and FastAPI for both single- and multi-tenant applications. It includes examples on how to lock down your APIs to certain scopes, tenants, roles etc.
[1] https://intility.github.io/fastapi-azure-auth/)
- Azure AD authentication for FastAPI 🔒 Now supports both single- and multi-tenants. Documentation includes a full tutorial on how to set it up from scratch
- Azure AD authentication 🔒 Now supports both single- and multi-tenants, and has a full setup tutorial for both FastAPI and Azure.
FastUI
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FastUI: Build Better UIs Faster
Django admin is really extensible. I'm not seeing here how to offer multiple forms against the same model. Eg if a user can edit some of their profile but not the subscription plan field, while a sales team can.
https://github.com/pydantic/FastUI/blob/main/demo/forms.py#L...
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Show HN: Hyperdiv – Reactive, immediate-mode web UI framework for Python
This looks really nice! I feel like Python's frontend ecosystem is currently exploding. I came across fastUI[1] today as well which looks similar.
1. https://github.com/pydantic/FastUI
- PySimpleGUI 4 will be sunsetted in Q2 2024
- FastUI – build web application user interfaces using declarative Python
- Show HN: Dropbase – Build internal web apps with just Python
- Jel ovo nesto kao GWT sto je bio?
- FastUI: Build web apps in declarative Python code
- Build better UIs faster on top of Pydantic
- Show HN: FastUI – Build React apps without writing any JavaScript
What are some alternatives?
full-stack-fastapi-template - Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.
nicegui - Create web-based user interfaces with Python. The nice way.
azure-functions-python-samples - Azure Functions Python Sample Codes. NOTE: The project, hosted in a repository, is no longer actively maintained by its creators or contributors. There won't be any further updates, bug fixes, or support from the original developers in the project.
fastapi-starter - A FastAPI based low code starter/boilerplate: SQLAlchemy 2.0 (async), Postgres, React-Admin, pytest and cypress
best-of-web-python - 🏆 A ranked list of awesome python libraries for web development. Updated weekly.
dropbase - Dropbase helps you build internal web apps with Python. The Dropbase self-hosted Worker securely interacts with your data within your own infra.
uvicorn-gunicorn-fastapi-docker - Docker image with Uvicorn managed by Gunicorn for high-performance FastAPI web applications in Python with performance auto-tuning.
reflex - 🕸️ Web apps in pure Python 🐍
asgi-correlation-id - Request ID propagation for ASGI apps
PySimpleGUI - Python GUIs for Humans! PySimpleGUI is the top-rated Python application development environment. Launched in 2018 and actively developed, maintained, and supported in 2024. Transforms tkinter, Qt, WxPython, and Remi into a simple, intuitive, and fun experience for both hobbyists and expert users.
Installation - The premier source of truth powering network automation. Open source under Apache 2. Public demo: https://demo.netbox.dev
superset - Apache Superset is a Data Visualization and Data Exploration Platform