AIOHTTP VS fastapi

The error calls to a file that has been through multiple recent revisions. The most likely cause is an issue was introduced.

Try the other comments, if nothing works, you can maybe submit a bug to aiohttp repo. I feel like they may be better prepared to deal with this than us. The example you gave is great BTW

I googled much better and found this: https://github.com/aio-libs/aiohttp/issues/3203

I executed the script 3 times making 20 requests on each execution. Ok now lets replace the synchronous requests library by the asynchronous aiohttp library. Furthermore, we add the async/await keywords on the right positions. Our final code will look like this:

I do see some low level suggestions here: https://github.com/aio-libs/aiohttp/issues/2522 that we can investigate.

The surprising part is that they were added in a PR, the original documentation didn't have them: https://github.com/tiangolo/fastapi/commit/741de7f92745d9549...

This started as a PR to FastAPI that didn't gain traction: https://github.com/tiangolo/fastapi/pull/3641

Bad news is, It isn't possible according to #4246.

The goal of the back end is to act as a wrapper for a model so that it can be queried via HTTP requests from the front end, something referred to as model serving. In order to do so, one would typically use a web framework. For a long time, Flask was the standard for Python-based web frameworks, and is indeed still very popular. However, FastaAPI is quickly becoming the new favorite, thanks to impressive performance and native support for asynchronous operations. This article is a good starting point to understand how a simple model can be deployed using FastAPI, while this tutorial provides a complete overview of all the steps required to serve a PyTorch model with GPU support.

As of today, FastAPI doesn't have any project generator like other known web frameworks ex: Django, Rails, etc., which makes creating new projects based on it that much more time-consuming. The idea behind this package is that one can generate a new project with one command and then start implementing endpoints logic straightaway, rather than creating the whole project from scratch. Moreover, the project is structured in MVC architectural pattern to help developers who don't know FastAPI yet but are familiar with MVC to get up to speed quickly.

FastApi

I've borrowed ideas from FastAPI.

While humans are notoriously awful at multitasking, machines can see significant performance benefits from this practice, as they are generally better suited to start and stop work without the extraneous overhead. This concept is the "secret sauce" of frameworks such as FastAPI, an asynchronous Python framework that self-proclaims performance to be "on par with NodeJS and Go" (I promise to write a fair share on FastAPI another time).