Open Source Python Documentation Software for Windows

Leo is an outlining-oriented project manager and browser. With Leo you can organize programs, web sites, URL's, pictures or any other kind of data. Leo is fully scriptable in Python. Leo is 100% pure Python. It requires the Qt gui toolkit.

Utilities for general- and special-purpose documentation. Includes reStructuredText, the easy to read, easy to use, what-you-see-is-what-you-get plaintext markup language.

nginx-admins-handbook is a practical, in-depth guide for configuring, securing, and operating NGINX across real-world deployments. It distills years of research, notes, and field experience into a single handbook that complements the official docs with concrete rules, explanations, and curated external references. The handbook spans fundamentals and advanced topics alike, from HTTP and SSL/TLS basics to reverse proxy patterns, performance tuning, debugging workflows, and hardening strategies. A centerpiece is its prioritized checklist of 79 rules, grouped by criticality, helping readers focus on what most impacts security, reliability, and speed. Instead of copy-paste snippets in isolation, it emphasizes understanding trade-offs, avoiding common pitfalls, and balancing security with usability. Designed for system administrators and web application engineers, it aims to be a living companion that encourages experimentation, measurement, and continuous improvement of NGINX configurations

Sphinx is a tool that makes it easy to create intelligent and beautiful documentation, written by Georg Brandl and licensed under the BSD license. It was originally created for the Python documentation, and it has excellent facilities for the documentation of software projects in a range of languages. Of course, this site is also created from reStructuredText sources using Sphinx! HTML (including Windows HTML Help), LaTeX (for printable PDF versions), ePub, Texinfo, manual pages, plain text. Semantic markup and automatic links for functions, classes, citations, glossary terms and similar pieces of information. Easy definition of a document tree, with automatic links to siblings, parents and children. General index as well as a language-specific module index. Automatic highlighting using the Pygments highlighter. Automatic testing of code snippets, the inclusion of docstrings from Python modules (API docs), and more.

"Roberge's Used Robot (RUR) : a Python Learning Environment" is a Python implementation of a "robot environment" as introduced by R. Pattis in 1981. **It is obsolete.** See https://github.com/aroberge/rur-ple

A clean customizable Sphinx documentation theme. Intentionally minimal, the most important thing is the content, not the scaffolding around it. Responsive, adapting perfectly to the available screen space, to work on all sorts of devices. Customizable, change the color palette, font families, logo and more! Easy to navigate, with carefully-designed sidebar navigation and inter-page links. Good-looking content, through clear typography and well-stylized elements. Good looking search, helps readers find what they want quickly. Biased for smaller docsets, intended for smaller documentation sets, where presenting the entire hierarchy in the sidebar is not overwhelming. Furo allows customizing the icons that are presented in the page footer. These icons can be used to link to relevant resources for your project and documentation.

The troposphere library allows for easier creation of the AWS CloudFormation JSON by writing Python code to describe the AWS resources. troposphere also includes some basic support for OpenStack resources via Heat. To facilitate catching CloudFormation or JSON errors early the library has property and type checking built into the classes.

AsciiDoc is a presentable text document format for writing articles, UNIX man pages and other small to medium sized documents. The asciidoc(1) command translates AsciiDoc files to HTML, DocBook and LinuxDoc formats.

Papermerge is an open source document management system (DMS) primarily designed for archiving and retrieving your digital documents. Instead of having piles of paper documents all over your desk, office or drawers - you can quickly scan them and configure your scanner to directly upload to Papermerge DMS. Store, organize and index scanned documents in PDF, JPEG and TIFF formats. Instantly find relevant information using full text, tags and metadata-based search. Papermerge is free and open-source software which means that transparency is the core value of our software development. Source code can be reviewed and improved by anyone from anywhere. Papermerge supports multiple users. Each user can be assigned different permissions to perform only a specific kind of action e.g. view only documents from a specific folder. OCR technology is vital part of Papermerge. It extracts text information from scanned documents, PDF, JPEG, TIFF files.

Python, being a beautifully designed high-level and interpreter-based programming language, provides us with many features for the programmer's comfort. But sometimes, the outcomes of a Python snippet may not seem obvious at first sight. Here's a fun project attempting to explain what exactly is happening under the hood for some counter-intuitive snippets and lesser-known features in Python. While some of the examples you see below may not be WTFs in the truest sense, but they'll reveal some of the interesting parts of Python that you might be unaware of. I find it a nice way to learn the internals of a programming language, and I believe that you'll find it interesting too! If you're an experienced Python programmer, you can take it as a challenge to get most of them right in the first attempt. You may have already experienced some of them before, and I might be able to revive sweet old memories of yours!

The purpose of this project is to create a German translation of the book <a href="http://www.byteofpython.info">"A Byte of Python"</a> originally written in English by Swaroop C H.

AInotate gives AI agents annotated screenshots. Ask an agent where a setting is and it captures the page or window, finds the elements by text or role, and draws numbered steps, Skitch-style arrows, boxes and labels placed where they cover the least content. Emails, tokens and other secrets are redacted automatically, and the agent checks a preview before it sends the image. Use it for "where do I click" answers, bug reports, how-to guides and before/after shots of a change. It runs locally as an MCP server, a CLI and an agent skill, with plugins for Claude Code, Codex, Gemini CLI and Cursor. Free and open source.

Epydoc is a tool for generating API documentation for Python modules, based on their docstrings. Epydoc supports two output formats (HTML and PDF), and four markup languages for docstrings (Epytext, Javadoc, ReStructuredText, and plaintext).

SLOCCount is an easy-to-use tool that counts Source Lines of Code (SLOC). It auto-determines the language(s) (inc. C, C++, Ada, Assembly, shell, COBOL, C#, Fortran, Haskell, Java, LISP/Scheme, Perl, PHP, Python, Ruby, SQL). It also estimates cost & time.

Professional environments focus on high development standards in Source Code Management. E.g. by usage of server side commit hooks to check for minimum acceptance levels on code and documentation quality including commit message structure and content. TortoiseSVN offers only a free form text field to edit inside the Commit Dialog. Developers might recall situations when struggling with commit message structure and fighting the server side commit hooks instead of focusing on message content! Thus being annoyed instead of feeling an incentive to deliver high quality descriptions here. The SVNStartCommitHelper is a client side start commit hook script (as a first version written in Python / Tkinter) exactly offering a well-structured form to fill in. The edited content is transformed and forwarded to the SVN commit dialog then. You still have full control on the commit message then. While using the helper you focus on message quality now instead struggling with message structure.

CodeInvestigator is a tracing tool for Python programs. All the run time information is recorded. Read your code together with its run time details. Use it to visualize what happened when you program ran.

DocLite is a simple documentation authoring system, it produces multi-page HTML output (like this document) in a style similar to that found in the Linux HOTWTOs or other DocBook created documents.

reStructuredText defines & implement a markup syntax for use in Python docstrings and other documentation domains, that is readable & simple, yet powerful. Project inactive. Development taken over by Docutils, http://docutils.sourceforge.net/.

A Python tool for creating websites or project documentation. Pages can be stored as reST (text) or html. With a simple templating and macro system it can autogenerate index pages and navigation links. Facilities for multiple translations as well.

Txt2tags converts a text file with minimal markup to HTML, XHTML, SGML, LaTeX, Lout, UNIX Man Page, Wikipedia, Google Code Wiki, DokuWiki, MoinMoin, MagicPoint(mgp), PageMaker. Features: simple, fast, automatic TOC, macros, filters, include, GUI/CLI/

uListen is a TTS(Text To Speech) application. It can TALK you the web pages, chm files, pdf files and word files and plain text files.

ARREA (A Reasonable Requirements Engineering Application) is a simple yet powerful requirements management tool that uses arbitrary files to store information and Subversion to allow team collaboration. Its simple conventions make it suitable for much other purposes. In fact, for any document-oriented tasks focused on collaborative work and exhaustive change and traceability management. At its heart, ARREA provides a thin layer on top of SVN that allows it to be used as a powerful time-aware NoSQL database, accessible through an easy REST API.

AFMS is an Artefact Management System to manage some of the artefacts appearing in the development process of a product. Artefacts are for example requirements, use cases or test cases. AFMS contains an artefact editor and a test execution tool.

AsciiLitProg is a programming language neutral literate programing tool based on AsciiDoc.

A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers with reference implementations. Relevant graph classification benchmark datasets are available. Similar collections about community detection, classification/regression tree, fraud detection, Monte Carlo tree search, and gradient boosting papers with implementations.