urllib3
pydantic
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urllib3 | pydantic | |
---|---|---|
19 | 166 | |
3,656 | 18,226 | |
2.1% | 4.2% | |
9.2 | 9.8 | |
5 days ago | 1 day 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 HTTP library 'urllib3' now works in the browser
It looks like it's using XMLHttpRequest behind the scenes: https://github.com/urllib3/urllib3/pull/3195/files#diff-2f12... and fetch for streaming
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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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
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Get Paid to Contribute to Urllib3
I'm not really clear on how to find out what issues have currently active bounties attached to them. I followed some links to this github query: https://github.com/urllib3/urllib3/issues?q=is%3Aopen+is%3Ai...
but all I see there are issues that appear to have already been paid for.
pydantic
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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
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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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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.
- Pydantic 2.0
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[DISCUSSION] What's your favorite Python library, and how has it helped you in your projects?
As for the most utilized and still loved library, that would probably be pydantic, it helps declaring types so convenient - be it dto's, models or just complex arguments - and plays nice with bunch of other libraries from it's own ecosystem.
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popularity behind pydantic
I did read this ... Pydantic Docs.
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Guide to Serverless & Lambda Testing — Part 2 — Testing Pyramid
Schema validations logic — I use Pydantic for input validation and schema validation (boto responses, API responses, input validation, etc.) use cases. The Pydantic schema can contain type and value constraint checks or even more complicated logic with the custom validator code.
What are some alternatives?
requests - A simple, yet elegant, HTTP library.
Cerberus - Lightweight, extensible data validation library for Python
nexe - 🎉 create a single executable out of your node.js apps
msgspec - A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
SQLAlchemy - The Database Toolkit for Python
sqlmodel - SQL databases in Python, designed for simplicity, compatibility, and robustness.
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.
mypy - Optional static typing for Python
pyparsing - Python library for creating PEG parsers [Moved to: https://github.com/pyparsing/pyparsing]
phonenumbers - Python port of Google's libphonenumber
dacite - Simple creation of data classes from dictionaries.
Lark - Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.