auth0-java VS fastapi

Is there something I'm missing here? All I know is that my password to the site is kept by auth0.com and logging in from there doesn't do wonders. I'm not sure if any other site is even connected to this one. Please help, I need my fix on Character AI because it's the best AI chat I've been.

In this article, we'll explore how you can implement suspicious login detection in a Node.js app authenticated with Auth0 using Datadog impossible travel detection rules.

Then look up auth providers. I suggest https://auth0.com/

The animation I'm referring to is the sliding up text in the hero section

Protect endpoints using JWT security with a OpenID Connect IAM like Auth0 or Keycloak Optionally control access to endpoints using RBAC

Auth0

There's lots of great auth services nowadays, like AWS Cognito and Auth0 if you have a specific use case and need to spend time on the nitty-gritty details, or Userfront and similar services if you want standard auth that works out of the box.

Auth0 is an adaptable authentication and authorization platform. Auth0 takes out the pain of developing a full authentication system from scratch for your application and managing user credentials by yourself.

As others have said, Cognito is an option with Amazon. Another option is Auth0 (free for basic use, low cost for some other features depending on your needs. Authentication is free and secure.) https://auth0.com/

He is probably most well know for creating FastAPI that I taught to some of my clients and Typer that I've never used.

It has been an interesting exercise developing this wrapper component. The fact that it seamlessly integrates with the FastAPI framework is just a bonus for me; I didn't plan for it since I hadn't learned FastAPI at the time. I hope you find this post useful. Thank you for reading, and stay safe as always.

FastAPI is a modern, high-performance web framework for building APIs with Python, based on standard Python type hints.

In this tutorial, I will demonstrate how to use Burr, an open source framework (disclosure: I helped create it), using simple OpenAI client calls to GPT4, and FastAPI to create a custom email assistant agent. We’ll describe the challenge one faces and then how you can solve for them. For the application frontend we provide a reference implementation but won’t dive into details for it.

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.