litestar VS fastapi

I wonder what happened after. It looks like the commenter/creator moved on:

https://github.com/litestar-org/litestar/commits?author=Gold...

What would you like to see here? Could you perhaps open an issue at https://github.com/litestar-org/litestar so we can track and implement this?

If you are just needing a client what you need should be available OOTB, unless you want more hands off.

Here is also a good article for example: https://dev.to/pbaletkeman/secure-python-litestar-site-with-...

I thought Litestar was the recommendation these days over FastAPI. Is it not?

https://litestar.dev/

Litestar - Litestar has been picking up quite a lot of steam in the past year since the lead maintainer of their largest OS competitor (fastapi) seems to be unable to prioritize listening to community feedback / concerns people have over the project. You literally can't mention fastapi on this site without people bringing up litestar.

A redirect to https://litestar.dev/

What's the preferred Python Web Framework these days?

I've read a lot of love for Litestar (formerly Starlite), since it seems people prefer it over FastAPI, Flask, etc.

https://litestar.dev

If your project is built using litestar then you have controllers.

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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.