arrow
pydantic
arrow | pydantic | |
---|---|---|
11 | 167 | |
8,555 | 18,733 | |
0.3% | 2.7% | |
4.0 | 9.8 | |
17 days ago | 3 days ago | |
Python | Python | |
Apache License 2.0 | 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.
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Useful Python Modules for us
pdbpp: Improved pdb boltons: assorted python addtions twisted: event driven networking framework sorcery: Dark magic in python, things know where+how they are being called, helps reducing boilerplate sh: Better alternative for subprocess module, much more pythonic taskipy: npm run scipt_name like functionality snoop: pdb lite, record+replay function steps birdseye: graphical debugger remote-pdb: easy pdb from inside containers typer: wrapper around click for simpler code for CLIs arrow: Always TZ aware datetimes, plus more features more-itertools: more functions for iterators pydantic: data validation + dataclasses loguru: better logging notifiers: sending notifications from python
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What is your favorite ,most underrated 3rd party python module that made your programming 10 times more easier and less code ? so we can also try that out :-) .as a beginner , mine is pyinputplus
Arrow makes dealing with dates and timezones way easier than the built-ins. Years ago I got sick of looking up how to use date types properly for the umpteenth time and found arrow, and now use it all the time.
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Hacker News top posts: Feb 27, 2021
Arrow v1.0: After 8 years, even better dates and times for Python\ (59 comments)
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Arrow 1.0: After 8 years, a new milestone with lots of new features, support for Python 3.6+, typing and much more!
You can also take a look at the parsing formats that Arrow tries to parse: https://github.com/arrow-py/arrow/blob/master/arrow/parser.py#L215
- Arrow v1.0: After 8 years, even better dates and times for Python
- Arrow v1.0: After 8 years, bringing even better dates and times to Python. Support for Python 3.6+, typing and much more!
- Arrow v1.0: After 8 years, a new milestone with a lot of new features
- De Facto Date Library
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?
Pendulum - Python datetimes made easy
Cerberus - Lightweight, extensible data validation library for Python
dateutil - Useful extensions to the standard Python datetime features
nexe - 🎉 create a single executable out of your node.js apps
pytz - pytz Python historical timezone library and database
msgspec - A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
Maya - Datetimes for Humans™
SQLAlchemy - The Database Toolkit for Python
delorean - Delorean: Time Travel Made Easy
sqlmodel - SQL databases in Python, designed for simplicity, compatibility, and robustness.
moment - A Python library for dealing with dates
mypy - Optional static typing for Python