AIOHTTP
httpx
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AIOHTTP | httpx | |
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23 | 53 | |
14,547 | 12,234 | |
1.1% | 2.5% | |
9.7 | 9.0 | |
2 days ago | 4 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.
httpx
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A Retrospective on Requests
For reference, it's a butterfly, not a moth.
Source: https://github.com/encode/httpx/issues/834
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Show HN: Twitter API Wrapper for Python – No API Keys Needed
Very cool, first I'm hearing of httpx https://www.python-httpx.org/
I think most people would start with trying out requests or something for this kind of work, I'm guessing that didn't work out? You've got a star from me.
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Harlequin: SQL IDE for Your Terminal
To access 10 different commands at the same time, that is tricky but definitely doable.
First thing that comes to mind, you can use aliases.
To keep it simple, lets use 3 examples instead of 10: harlequin (this project), pgcli (https://www.pgcli.com/) and httpx (https://www.python-httpx.org/)
Setup a main home for all your venvs:
cd ~
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HTTP Rate Limit
There are already some implementations for Python HTTP clients. One of them is aiometer. But it's not suitable for my use case. Since httpx already has the internal pool, it would be better to reuse the design.
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Introducing Flama for Robust Machine Learning APIs
Besides, flama also provides support for SQL databases via SQLAlchemy, an SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL. Finally, flama also provides support for HTTP clients to perform requests via httpx, a next generation HTTP client for Python.
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Embracing Modern Python for Web Development
We can use the async HTTP client provided by httpx, a fully featured HTTP client for Python with an API broadly compatible with requests, so it can be used in pretty much the same way in most cases.
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Didn't want to click on refresh to see updates, this is what I did!
httpx in place of requests library
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Python Requests 3
The main value of Requests is that it provided an abstract interface on top of HTTP, which was designed well-enough to become a standard. But today it has fallen way behind in its field, and there are much better alternatives such as HTTPX [0].
[0] https://www.python-httpx.org/
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Unlocking Performance: A Guide to Async Support in Django
HTTPX is a popular Python library that provides an asynchronous HTTP client, and it can be beneficial for enabling async support in Django. While Django itself does not require HTTPX for async support, using HTTPX in combination with Django's async views can bring several advantages:
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Show HN: Python package for interfacing with ChatGPT with minimized complexity
The underlying library for both sync and async is httpx (https://www.python-httpx.org/) which may be limited from the HTTP Client perspective but it may be possible to add rate limiting at a Session level.
What are some alternatives?
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
requests-html - Pythonic HTML Parsing for Humansâ„¢
Flask - The Python micro framework for building web applications.
Niquests - Requests but with HTTP/3, HTTP/2, Multiplexed Connections, System CAs, Certificate Revocation, DNS over HTTPS / TLS / QUIC or UDP, Async, DNSSEC, and (much) pain removed!
requests - A simple, yet elegant, HTTP library.
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
Django - The Web framework for perfectionists with deadlines.
starlette - The little ASGI framework that shines. 🌟
flask-pydantic - flask extension for integration with the awesome pydantic package