urllib3
pydantic
Our great sponsors
urllib3 | pydantic | |
---|---|---|
21 | 167 | |
3,664 | 18,617 | |
0.9% | 4.3% | |
9.1 | 9.8 | |
14 days ago | 3 days ago | |
Python | Python | |
MIT 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.
urllib3
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Python Cloudflare Workers
As opposed to what the article says, urllib3 now has experimental support for browser as of Jan 30th.
Source: https://github.com/urllib3/urllib3/releases/tag/2.2.0
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Revived the promise made six years ago for Requests 3
Then, I tried to get a firm grip on urllib3 base code, contributing this and there until I was ready to kick things up with a proof of concept that would have put urllib3 far ahead. Without any breaking changes. I was delusional. This was a bit of a shock, but six months passed between my initial kick off and my formal give up, and here's why in a nutshell:
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Python HTTP library 'urllib3' now works in the browser
Oh wow, thanks for this story! Would love to hear more if you have time :) Good luck with testing it out.
Note that we found an issue w/ emitting an InsecureRequestWarning by default. The request is perfectly secure, it's just we aren't telling the ConnectionPool that information (see: https://github.com/urllib3/urllib3/issues/3331)
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Bounties Damage Open Source Projects
I've had a good experience doing a couple of bug fix bounties for urllib3 https://github.com/urllib3/urllib3/issues . I'd be interested in how the maintainers how found running the bug bounty and if it's given them more useful fixes or if it just adds more noise to deal with
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Help: Installing AI LLM for first time and having SSL issue
ImportError: urllib3 v2.0 only supports OpenSSL 1.1.1+, currently the 'ssl' module is compiled with LibreSSL 2.8.3. See: https://github.com/urllib3/urllib3/issues/2168
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ReadTheDocs Sphinx theme urllib3 related build errors
> Could not import extension sphinx.builders.linkcheck (exception: urllib3 v2.0 only supports OpenSSL 1.1.1+, currently the 'ssl' module is compiled with OpenSSL 1.0.2n 7 Dec 2017. See: https://github.com/urllib3/urllib3/issues/2168)
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Trying to install autoscan from https://github.com/NiNiyas/autoscan and stuck with no idea what the problem is.
This error is coming from Python, it's telling us Python is failing to import the urllib3 library, these lines here are important:
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Requests Library in Python
Requests allows you to send HTTP/1.1 requests extremely easily. There’s no need to manually add query strings to your URLs, or to form-encode your POST data. Keep-alive and HTTP connection pooling are 100% automatic, thanks to urllib3.
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GitHub - Spacewalkio/Goenv: 🐺 Manage Your Applications Go Environment.
Judging projects based on stars is really immature. for example everyone knows requests https://github.com/psf/requests the python package that is used in every python project out there. it has 47k star too WOW. but the thing that less people know is urllib3. https://github.com/urllib3/urllib3. it has only 3k stars. It basically does the heavy lifting for requests!!
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This Week In Python
urllib3 – Python HTTP library with thread-safe connection pooling, file post support, user friendly, and more
pydantic
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Advanced RAG with guided generation
First, note the method prefix_allowed_tokens_fn. This method applies a Pydantic model to constrain/guide how the LLM generates tokens. Next, see how that constrain can be applied to txtai's LLM pipeline.
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utype VS pydantic - a user suggested alternative
2 projects | 15 Feb 2024
utype is a concise alternative of pydantic with simplified parameters and usages, supporting both sync/async functions and generators parsing, and capable of using native logic operators to define logical types like AND/OR/NOT, also provides custom type parsing by register mechanism that supports libraries like pydantic, attrs and dataclasses
- Pydantic v2 ruined the elegance of Pydantic v1
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Ask HN: Pydantic has too much deprecation. Why is it popular?
I like some of the changes from v1 to v2. But then you have something like this [0] removed from the library without proper documentation or replacement, resulting in ugly workarounds in the link that wont' work properly.
[0]: https://github.com/pydantic/pydantic/discussions/6337
- OpenAI uses Pydantic for their ChatCompletions API
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🍹GinAI - Cocktails mixed with generative AI
The easiest implementation I found was to use a PyDantic class for my target schema — and use that as a parameter for the method call to “ChatCompletion.create()”. Here’s a fragment of the GinAI Python classes used.
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FastStream: Python's framework for Efficient Message Queue Handling
Also, FastStream uses Pydantic to parse input JSON-encoded data into Python objects, making it easy to work with structured data in your applications, so you can serialize your input messages just using type annotations.
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Introducing FastStream: the easiest way to write microservices for Apache Kafka and RabbitMQ in Python
Pydantic Validation: Leverage Pydantic's validation capabilities to serialize and validate incoming messages
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Cannot get Langchain to work
Not sure if it is exactly related, but there is an open issue on Github for that exact message.
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FastAPI 0.100.0:Release Notes
Well the performance increase is so huge because pydantic1 is really really slow. And for using rust, I'd have expected more tbh…
I've been benchmarking pydantic v2 against typedload (which I write) and despite the rust, it still manages to be slower than pure python in some benchmarks.
The ones on the website are still about comparing to v1 because v2 was not out yet at the time of the last release.
pydantic's author will refuse to benchmark any library that is faster (https://github.com/pydantic/pydantic/pull/3264 https://github.com/pydantic/pydantic/pull/1525 https://github.com/pydantic/pydantic/pull/1810) and keep boasting about amazing performances.
On pypy, v2 beta was really really really slow.
What are some alternatives?
requests - A simple, yet elegant, HTTP library.
Cerberus - Lightweight, extensible data validation library for Python
httplib2 - Small, fast HTTP client library for Python. Features persistent connections, cache, and Google App Engine support. Originally written by Joe Gregorio, now supported by community.
nexe - 🎉 create a single executable out of your node.js apps
pycurl - PycURL - Python interface to libcurl
msgspec - A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
grequests - Requests + Gevent = <3
SQLAlchemy - The Database Toolkit for Python
Uplink - A Declarative HTTP Client for Python
sqlmodel - SQL databases in Python, designed for simplicity, compatibility, and robustness.
requests-futures - Asynchronous Python HTTP Requests for Humans using Futures
mypy - Optional static typing for Python