django-allauth VS fastapi

If you don't want to use Pegasus or another paid product (presumably because of the cost), the packages I'd reach for are django-allauth for login/user stuff and dj-stripe for the Stripe integration. As for teams, there wasn't a library I was happy with so I rolled my own for Pegasus, but some people like django-tenants. It's too heavyweight for my taste as it requires a more complex dev/test/infrastructure setup with Postgres schemas, as opposed to having a single-database and handling multitenancy in the application layer. But there are pros and cons to both approaches.

django-allauth - authorisation with email and social media accounts

Complete user authentication (Log-in/Log-out, ...) via Django Allauth

I've been screwing around with https://github.com/pennersr/django-allauth/. I got it up and running; was able to get Discord and Twich oauth2 working on it without much issue, Steam's OpenID implementation is really giving me a hard time though.

Usually when people talk about oauth with django, they mean letting users access a django app using oauth and django-allauth is often a good choice for that, but if you're accessing an API that doesn't sound like what you're after.

When I started web development with Django. I thoroughly didn't know about the django-allauth package. I had knowledge of MVC and some core parts of Django. During college projects I had been working on a demo project and done user authentication and all manually. That time one of my seniors advised me to use django-allauth. I did some research and configured django-allauth with my project within a couple of minutes. For me it was an invigorating thing.

Although the answer given below solved my problem, I just want to share that I ended up using django-allauth instead of social-auth. And the latest version of django-allauth appears to be the best Django authentication app.

That’s when I found FastAPI.

FastAPI & Uvicorn

Discussion at FastAPI GitHub: https://github.com/tiangolo/fastapi/issues/2696

An API application framework (such as FastAPI)

It’s been my experience that async Python frameworks tend to turn IO bound problems into CPU bound problems with a high enough request rate, because due to their nature they act as unbounded queues.

This ends up made worse if you’re using sync routes.

If you’re constrained on a resource such as a database connection pool, your framework will continue to pull http requests off the wire that a sane client will cancel and retry due to timeouts because it takes too long to get a connection out of the pool. Since there isn’t a straightforward way to cancel the execution of a route handler in every Python http framework I’ve seen exhibit this problem, the problem quickly snowballs.

This is an issue with fastapi, too- https://github.com/tiangolo/fastapi/issues/5759

Fast API.

We will create our API using FastAPI, a modern high-performance web framework for building fast APIs with Python. It is designed to be easy to use, efficient, and highly scalable. Some key features of FastAPI include:

FastAPI is a modern, fast, web framework for building APIs with Python 3.7+ based on standard Python type hints. It is designed to be easy to use, fast to run, and secure. In this blog post, we’ll explore the key features of FastAPI and walk through the process of creating a simple API using this powerful framework.

FastAPI is a modern, fast web framework for building APIs with Python 3.7+ that automatically generates OpenAPI and JSON Schema documentation. While FastAPI simplifies API development, manually creating and updating API documentation can still be a time-consuming task. In this blog post, we’ll explore how to leverage FastAPI’s automatic documentation generation capabilities, specifically focusing on Swagger and ReDoc, and how to streamline the process of documenting your APIs.