starlette
quart-schema
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| starlette | quart-schema | |
|---|---|---|
| 55 | 3 | |
| 9,491 | 69 | |
| 2.8% | - | |
| 9.2 | 7.7 | |
| 3 days ago | 10 days ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | MIT 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.
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.
quart-schema
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FASTAPI VS QUART (again)
Thanks, this is a good suggestion - I've added https://github.com/pgjones/quart-schema/commit/b206f15a0985942bd704f3e78b4906cb4d0f0afc and hope to release soon.
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Quart is now a Pallets project
You can do the same, with very similar code, with e.g. Flask-Pydantic-Spec or Quart-Schema as both generate the OpenAPI specs from Pydantic models.
- Python Flask has no remaining open issues or pull requests
What are some alternatives?
Flask - The Python micro framework for building web applications.
connexion - Connexion is a modern Python web framework that makes spec-first and api-first development easy.
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
apiflask - A lightweight Python web API framework.
uvicorn - An ASGI web server, for Python. 🦄
flask-pydantic - flask extension for integration with the awesome pydantic package
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
Jinja2 - A very fast and expressive template engine.
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.