fastapi VS Django

To learn more about Fast API framework, you can check out the docs here

only having 1 maintainer

From the official docs:

To save time here, I have prepared a basic Python application developed on FastAPI and if you want to follow along you can get the code from GitHub Repository here.

This repository contains code for asynchronous example api using the Fast Api framework ,Uvicorn server and Postgres Database to perform crud operations on notes.

That sounds like the perfect job for our open-source lib NiceGUI. It is an UI framework on top of FastAPI. That means you can easily setup HTTPS POST endpoints to save the incoming data to a file or database. With very little effort you can also create your webpage which reads the data and displays it.

This package extends the FastAPI response model schema allowing you to have a common response wrapper via a fastapi.routing.APIRoute.

fully type-annotated options for building an API are available - one popular option is FastAPI and everything you expose is declared through pydantic. There is nothing as productive in Go I'm afraid.

On the other side, the Django itself, together with a django-storages package, provides a wide range of file-like storage backends also using local, network, and cloud storage implementations.

And yet, if I search [0] the Django repo for a class that definitely exists [1] in Django, there are 0 code results. Zero. GitHub search is mystifyingly bad.

[0] https://github.com/django/django/search?q=DeleteView&type=co...

[1] https://github.com/django/django/blob/main/django/views/gene...

With the new GitHub code search, the first result is the DeleteView class: https://github.com/django/django/blob/bd366ca2aeffa869b7dbc0...

Celery is an asynchronous task queue which integrates nicely with django. In this post, I am not going to write a tutorial on how to setup and use celery, there are many articles for it already. I am going to discuss about some of the advanced features of celery I used in some of the projects that I worked on.

But to answer your question, you can use anything really. My recommendation would be a Python framework like Django since you already know the language (from the sounds of it). That will take care of all your backend needs. Handling video or media in general isn't the easiest thing to do so maybe that's why people aren't giving serious answers since you're asking basic questions.

It works with Django.

https://github.com/django/django/blob/3.2.16/django/contrib/postgres/apps.py#L61 https://github.com/django/django/blob/3.2.16/django/contrib/postgres/signals.py

Last commit, two days ago. I don't know where you looked at: https://github.com/django/django/

Many of the available jobs for Python that I could find were either for Django based projects or Machine Learning stuff I didn't like too much. So using Masonite would only be for green field type projects.