AIOHTTP
starlette
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| AIOHTTP | starlette | |
|---|---|---|
| 23 | 55 | |
| 14,547 | 9,491 | |
| 1.1% | 2.8% | |
| 9.7 | 9.2 | |
| 4 days ago | 8 days ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | 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.
AIOHTTP
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Show HN: The HTTP Garden – A Parser Vulnerability Research Tool
> AIOHTTP: The Python int constructor is used to parse Content-Lengths and chunk-sizes, so _, +, and - are misinterpreted.
Fun. I believe the fix is incomplete here[1]. Python's int() constructor accepts integers comprised of any unicode numeral, for example, int("٦٦٦") == 666, and "٦٦٦".isdecimal() == True.
[1] https://github.com/aio-libs/aiohttp/pull/7663/files#diff-197...
- Python HTTP library 'urllib3' now works in the browser
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complex http server?
aiohttp
- How to Stream Bytes Uploaded so far in Python like XMLHttpRequest: progress event
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Multiprocessing/multithreading
If you want speed, I would try to rewrite everything using an asynchronous library like aiohttp.
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Speed Up Web Scraping with Concurrency in Python
requests does not support async out-of-the-box, so we will use aiohttp to avoid complications. requests can do the job, and there is no substantial performance difference. But the code is more readable using aiohttp.
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How can I wrap a synchronous function in an async coroutine?
I'm using aiohttp to build an API server that sends TCP requests off to a seperate server. The module that sends the TCP requests is synchronous and a black box for my purposes. So my problem is that these requests are blocking the entire API. I need a way to wrap the module requests in an asynchronous coroutine that won't block the rest of the API.
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Favorite Python Web Framework
aiohttp - Everything that I need and nothing that I don't.
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Can you help me review some (working) code to asynchronously download lists of scholarships?
Use aiohttp to download the content of each page of lists. As of this Code Review post, this is the only step we execute.
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Getting nothing but 429 responses when using Go (golang) client. Same requests work everywhere other than go apps.
Reminds me of this post from 5 months ago, but it was for a Python library. I made a discussion thread on the aiohttp repo and someone ended up contacting the reddit admins about it. The problem seems to be resolved now.
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?
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
Flask - The Python micro framework for building web applications.
httpx - A next generation HTTP client for Python. 🦋
uvicorn - An ASGI web server, for Python. 🦄
requests - A simple, yet elegant, HTTP library.
starlite - Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs [Moved to: https://github.com/litestar-org/litestar]
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
quart - An async Python micro framework for building web applications.
Django - The Web framework for perfectionists with deadlines.
pydantic - Data validation using Python type hints