MathJax documentation. Beautiful math in all browsers. Beautifully documented.

📒 Sphinx source parser for Jupyter notebooks

A compiler from Doxygen XML to reStructuredText -- hence, the name. It parses XML databases generated by Doxygen and produces reStructuredText for the Python documentation generator Sphinx.

reStructuredText Language Support in Visual Studio Code

《Reinforcement Learning: An Introduction》（第二版）中文翻译

A clean customizable documentation theme for Sphinx

🇰🇷PyTorch에서 제공하는 튜토리얼의 한국어 번역을 위한 저장소입니다. (Translate PyTorch tutorials in Korean🇰🇷)

Mermaid diagrams in yours sphinx powered docs

Source for esphome.io documentation files.

This repository contains the pfSense Documentation

Sphinx documentation Docker image with Python server and support for PlantUML and more.

A Chat-Server/Chat-System based on AMQP protocol(RabbitMQ) + AMQP Python Client(PIKA) + Websockets(SockJS) + Async Python Server(Tornado)

Unofficial Fedora FAQ in russian

https://westurner.org/wiki

SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

Toolkit for manipulation and inspection of Sphinx objects.inv files

A Sphinx extension to display a JSON Schema

Fortran domain and autodoc extensions to Sphinx

automatic setup and deployment for sphinx docs

(Deprecated) Make Sphinx docs look like MDN

A version of sphinx-apidoc with support for templating

Sphinx plugin for generating RST on the fly from data files and templates.

Sphinx extension to generate a multi-lingual, multi-version sitemap for HTML builds

Source repository for the MapServer documentation, for the live website. Please submit pull requests to the 'main' branch.

Sphinx: pretty search results is an extension for the Sphinx documentation tool. To display search results, Sphinx is fetching the source files of search hits and rendering excerpts in raw markup. This extension removes the markup from these source files (during build time), so the search results look decent.

Examples of Haskell versions of Numpy usage

Python Tips for Data Scientist