furo
pydantic
furo | pydantic | |
---|---|---|
7 | 167 | |
2,495 | 19,049 | |
- | 4.3% | |
8.6 | 9.8 | |
1 day ago | 1 day ago | |
Sass | 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.
furo
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Can someone help me understand "documentation generators" and the purpose of Sphinx?
Sphinx has more and in my opinion better themes (especially the popular Furo them). I also think it's better for handling large and complex sites. It's way more extensible. That there are far more Sphinx users means that you're more likely to have community support if/when you run into issues.
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Can you select themes for rustdoc?
My company uses sphinx, in particular the furo theme: https://github.com/pradyunsg/furo. I'd like to use something like this to start documenting our Rust repositories. Is this possible on stable?
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[D] What JAX NN library to use?
On another note, what did you dislike in Sphinx ? I found it pretty easy to work with until now and there are quite nice themes, like Furo (https://github.com/pradyunsg/furo), which is actually pretty similar to your current docs theme. I used it recently for one of my projects (see https://francois-rozet.github.io/piqa/piqa.psnr.html).
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New Sphinx theme
reminds me a lot of Furo which is used by big names such as urllib3, pip, attrs, psycopg3, black
- Furo: A clean customizable documentation theme for Sphinx
- Technical documentation that just works
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Furo – A clean customizable documentation theme for Sphinx
This theme was created by one of the maintainers of pip, which is where I first saw it (https://pip.pypa.io/en/stable/). Here are some of the things I like about it:
- Well-chosen, proportionate font sizes and spacing.
- Table of contents sidebars for both the current page and the whole documentation site.
- Fully responsive: sidebars disappear in narrow windows or small screens, but can still be popped out.
- Clean color scheme with good contrast, and full support for dark mode (see screenshot at https://github.com/pradyunsg/furo/blob/main/README.md).
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?
mkdocs-material - Documentation that simply works
Cerberus - Lightweight, extensible data validation library for Python
sphinx - The Sphinx documentation generator
nexe - 🎉 create a single executable out of your node.js apps
mkdocstrings - :blue_book: Automatic documentation from sources, for MkDocs.
msgspec - A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
vscode-theme-alabaster-dark - Dark version of alabaster ported from https://github.com/tonsky/sublime-scheme-alabaster
SQLAlchemy - The Database Toolkit for Python
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
sqlmodel - SQL databases in Python, designed for simplicity, compatibility, and robustness.
PVEDiscordDark - A Discord-like dark theme for the Proxmox Web UI.
mypy - Optional static typing for Python