pdbpp
pydantic
pdbpp | pydantic | |
---|---|---|
9 | 167 | |
1,255 | 19,049 | |
1.3% | 4.3% | |
0.0 | 9.8 | |
about 1 month ago | 1 day ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" 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.
pdbpp
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The new pdbp (Pdb+) Python debugger!
Why not just use Python’s built-in pdb debugger or another existing one like ipdb or pdbpp?
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Show HN: Clamshell- an experimental Python based shell
I like pdbpp. Make sure to install from source as there hasn’t been a release in a while.
https://github.com/pdbpp/pdbpp
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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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For whose use Emacs and VS Code, when and why you use VSCode? #emacs #vscode
If you want to use pdbpp, install it into your Python environment you're using the debugger from and it'll automatically hook itself into pdb with no additional setup.
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What Python debugger do you use?
I love pdbpp
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Which not so well known Python packages do you like to use on a regular basis and why?
pdbpp feels like getting super powers over using pdb
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What dev tools do you use in your python projects?
Most of the tools and libraries I use have been mentioned, but I haven’t seen pdb++ brought up. It’s like ipython for debugging!
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Debug in VIM
Improved version of built-in debugger: https://github.com/pdbpp/pdbpp
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Icecream: Never use print() to debug again in Python
I like to use PDB++ which is a drop in replacement for PDB
https://github.com/pdbpp/pdbpp
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?
ipdb - Integration of IPython pdb
Cerberus - Lightweight, extensible data validation library for Python
pudb - Full-screen console debugger for Python
nexe - 🎉 create a single executable out of your node.js apps
pdbr - pdb + Rich library
msgspec - A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
PySnooper - Never use print for debugging again
SQLAlchemy - The Database Toolkit for Python
python-devtools - Dev tools for python
sqlmodel - SQL databases in Python, designed for simplicity, compatibility, and robustness.
snoop - A powerful set of Python debugging tools, based on PySnooper
mypy - Optional static typing for Python