django-channels VS uvicorn

Channels Medium Article

WebSockets or MQTT. If you’re open to Python and Django as a framework, check out Django Channels.

Creating a PWA is not like playing a card that wins the game. Moreover, users do not yet know the potential or do not know that they can be installed so they have a bit of a hard time catching on. At the moment I use Django + HTMX + AlpineJS to build my applications. This stack allows you to use WebSockets, but HTMX is not yet very mature in this respect. If you aim to create something complex on the user experience side, I have used the Django (+ Django rest framework) + React stack for years. It's good but it takes time both for creating things and to master it. Maybe you want to check out Django Channels too https://github.com/django/channels

Use Django channels package. I'm not very convinced for these reasons:

github issue

One program I sorta like is channels. You may have some luck searching for python example repositories (IIRC there is at least one project like this, with the structure and explaining what each stuff does, give preference to more recent projects as packaging is something that went through a lot of changes in the recent years).

Extra background information: * https://stackoverflow.com/a/49043121/1842286 * https://stackoverflow.com/questions/62199335/django-session-is-not-being-persisted-and-cookie-is-not-being-set-when-using-dja * https://github.com/django/channels/issues/1425 * https://github.com/django/channels/issues/1402 * https://github.com/django/channels/issues/1096

FastAPI & Uvicorn

This tells Heroku to run uvicorn, which is a web server implementation in Python.

FastAPI uses Uvicorn, an ASGI (Asynchronous Server Gateway Interface) web server implementation for Python.

Now, let’s run our FastAPI application using Uvicorn: uvicorn main:app --reload

Uvicorn + Starlette 8k requests/s

I switched to Hypercorn because Uvicorn currently supports HTTP/1.1 and WebSockets as mentioned at https://www.uvicorn.org

This will set up Chroma and run it as a server with uvicorn, making port 8000 accessible outside the net docker network. The command also mounts a persistent docker volume for Chroma's database, found at chroma/chroma from your project's root.

There's an open discussion under the Uvicorn repository and we prepared a repository for Reproduction GitHub Repo

FastAPI is a popular Python Web framework that developers use to create RESTful APIs. It is based on Pydantic and Python-type hints that assist in the serialization, deserialization, and validation of data. In this tutorial, we will use FastAPI to create a simple "Hello World" application. We test and run the application locally. FastAPI requires a ASGI server to run the application production such as Uvicorn.

- [3] https://github.com/encode/uvicorn/issues/527