flynt
pydantic
flynt | pydantic | |
---|---|---|
13 | 167 | |
668 | 18,733 | |
- | 2.7% | |
6.6 | 9.8 | |
6 months 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.
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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.
flynt
- flynt – convert old Python code to use Python 3.6's "f-strings"
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A Tale of Two Kitchens - Hypermodernizing Your Python Code Base
pyupgrade and flynt are examples of tools that modify your code base from earlier python versions into the newest python syntax, rewriting all string formats into f-strings and similar things.
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Conversion from the f-string literals to format method in python
flynt - string formatting converter
- Flynt – convert Python old %-formatted strings to Python 3.6 f-strings
- pathlib instead of os. f-strings instead of .format. Are there other recent versions of older Python libraries we should consider?
- formatting issues
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Python Best Practices for a New Project in 2021
That is a great write-up! One extra bit I'd recommend to this list is using https://github.com/ikamensh/flynt to convert string format into f-strings. It requires Python 3.6.
- Flynt: Convert old Python string formatting to f-strings
- A tool to automatically convert old string literal formatting to f-strings
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?
pyupgrade - A tool (and pre-commit hook) to automatically upgrade syntax for newer versions of the language.
Cerberus - Lightweight, extensible data validation library for Python
python-imphook - Simple and clear import hooks for Python - import anything as if it were a Python module
nexe - 🎉 create a single executable out of your node.js apps
minimum-viable-wordpress - A single-file WordPress theme.
msgspec - A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
devpi - Python PyPi staging server and packaging, testing, release tool
SQLAlchemy - The Database Toolkit for Python
pypiserver - Minimal PyPI server for uploading & downloading packages with pip/easy_install
sqlmodel - SQL databases in Python, designed for simplicity, compatibility, and robustness.
MLStyle.jl - Julia functional programming infrastructures and metaprogramming facilities
mypy - Optional static typing for Python