| quart | starlette | |
|---|---|---|
| 4 | 55 | |
| - | 9,510 | |
| - | 1.8% | |
| - | 9.2 | |
| - | 6 days ago | |
| Python | ||
| - | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
quart
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Asynchrony in Django: Craze or Necessity?
Quart
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Looking for a drop in replacement for werkzeug
read this source code https://gitlab.com/pgjones/quart
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Quart-Schema 0.11.0 released!
Quart-Schema is an extension to the Quart web framework that adds validation and OpenAPI documentation via Pydantic models.
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How I can tell if I'm a junior developer
Quart is similar to Flasks API but is rewritten to be async.
starlette
- Ask HN: What is your go-to stack for the web?
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Building Fast APIs with FastAPI: A Comprehensive Guide
Fast Execution: FastAPI is built on top of Starlette and Pydantic, making it one of the fastest Python frameworks for building APIs.
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Embracing Modern Python for Web Development
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.
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FastHttp for Python (64k requests/s)
Uvicorn + Starlette 8k requests/s
- Microdot "The impossibly small web framework for Python and MicroPython"
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An Introduction to âš¡FastAPI
Starlette documentation
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Writing a chat application in Django 4.2 using async StreamingHttpResponse
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.
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Deploying an ML model to Paperspace and creating an API
Set up Starlette, a tool we'll use to make async requests
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FastAPI middleware doesn't run while making request to websocket endpoint
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
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Chat implementation
Websockets are the way but I would not recommend django as it's still not fully async. I would go for other tools.
What are some alternatives?
Bottle - bottle.py is a fast and simple micro-framework for python web-applications.
Flask - The Python micro framework for building web applications.
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
quart-schema
uvicorn - An ASGI web server, for Python. 🦄
wrknotes_public - Workout notes public
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
simple-text-editor - Minimalistic Web-based Text Editor, made with Flask
starlite - Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs [Moved to: https://github.com/litestar-org/litestar]
quart - An async Python micro framework for building web applications.
pydantic - Data validation using Python type hints