Tornado VS starlette

I am not expert in these but I thought Tornado's ioloop was readable enough for me to learn more event loops. Mostly, it was being implemented in pure Python.

https://github.com/tornadoweb/tornado/blob/branch4.5/tornado...

(Had to be in 4.5 because the newer versions 5.x and 6.x, it's switched to Python's stdlib asyncio)

I am a bit confused, Tornado is web server like a apache http server, or a framework like django, or both?

For Python, I use Tornado.

tornado? this https://github.com/tornadoweb/tornado ?

I'm writing a Node app that talks to a server that uses Tornado, a Python networking framework. The server uses WebSocket and structured JSON to expose RPCs, like sign_on called with the following message:

I've been using Python's Tornado (http://www.tornadoweb.org/) for years now.

Now on version 6, it's fast, well maintained, mature, and has good docs with readable code.

@bdarnell has done an excellent job maintaining it.

Here's one example:

Tornado supported async style co-routines before asyncio was a thing. Now it uses asyncio under the hood by default -- and it did so with an exceptionally smooth transition.

Tornado is another micro framework aimed at a specific use case: asynchronous networking applications. Tornado is well-suited for creating services that open a great many network connections and keep them alive that is, anything involving WebSockets or long polling. Moreover, It requires Python 3.5 or higher and drops Python 2 support entirely.

How to fix tornado.util.TimeoutError: Operation timed out after 5 seconds on tornado test debug?

Here's an official demo chat app using websocket: https://github.com/tornadoweb/tornado/tree/master/demos/websocket, though you should read the docs on websocket for understanding the code.

Fast Execution: FastAPI is built on top of Starlette and Pydantic, making it one of the fastest Python frameworks for building APIs.

The framework's efficiency comes from its use of Starlette for building asynchronous web services and Pydantic for robust data validation and serialization, powered by Python's type hints. Pydantic has recently announced the official release of Pydantic V2 (June 2023), which is a ground-up rewrite that offers many new features and performance improvements, so make sure to be using that instead of V1.

Uvicorn + Starlette 8k requests/s

Starlette documentation

Same here, but without these weird utils it doesn't get any better.

I have 7 YoE with Django. Its great at so many things. You see some code, like middlewares, and immediately understand what's going on.

Now, we also have Starlette. The base of all new, fancy asgi libraries. Here's the base middleware class.

https://github.com/encode/starlette/blob/8d7a1cacfb3e1a30cbb...

In the last couple of years I heard 'we're running fastapi on production. Wanna join us?' so many times... but the reality is that it's still not suitable for prod. Who wants to work with a code like that if you have a readable, stable Django? I'm clueless.

Set up Starlette, a tool we'll use to make async requests

I never used websockets in FastAPI so I wouldn't know how to guide you more, but Middleware in Websockets are 100% supported by Starlette : https://github.com/encode/starlette/issues/641

Websockets are the way but I would not recommend django as it's still not fully async. I would go for other tools.