quart-schema VS starlette

Quart-Schema is an extension to the Quart web framework that adds validation and OpenAPI documentation via Pydantic models.

It would be interesting to learn if the author has considered the APIFlask extension or Quart-Schema with Quart. Both offer API functionality built on the Flask API.

Input validation and automatic swagger documentation are supported in the Quart-Schema if you'd like to combine these with the Flask API.

For reference I'd say the "current async framework" is either Starlette [1] or FastAPI [2] for web stuff, and trio [3] for more stupidproof async than twisted. IMHO of course!

[1] https://www.starlette.io/

Further information on FastAPI GitHub Issue and Starlette GitHub Issue:

Authx is a fast, flexible, and easy-to-use authentication and authorization library for FastAPI. It is built on top of FastAPI and starlette.

As the name suggests, FastAPI is built to create API endpoints quickly, and it runs fast too. It makes use of the Starlette project for its high-speed networking core, but you don’t need to know about Starlette’s internals to use FastAPI. You define endpoints in much the same manner as a Flask or Bottle app—use decorators to indicate which functions handle which routes—and then return dictionaries that are translated automatically into JSON.

The best way to make your FastAPI service even faster is to use Redis.FastAPI is a Python web framework based on the Starlette microframework. This tutorial helps you get started with Redis and FastAPI.

Starlette on the other hand is quite nice and simple: [e.g. this file](https://github.com/encode/starlette/tree/master/starlette)

BackgroundTasks are implemented in Starlette, but the issue I ran into at the time was https://github.com/encode/starlette/issues/919

The entire app is written in Python, specifically in the ASGI webapp library Starlette, which is amazing for writing tiny API services like this. I also used SlowAPI as a rate limiter, just so my server doesn't explode.

Starlette for the web parts.