HappyDoc is a tool for extracting documentation from Python source code. It differs from other such applications by the fact that it uses the parse tree for a module to derive the information used in its output instead of importing the module directly. This allows the user to generate documentation for modules which need special context to be imported.
Txt2tags converts a text file with minimal markup to HTML, XHTML, SGML, DocBook, LaTeX, Lout, Man page, Creole, Wikipedia, Google Code Wiki, PmWiki, DokuWiki, MoinMoin, MagicPoint, PageMaker, AsciiDoc, or ASCII Art. It is simple and fast and features automatic TOC, macros, filters, include, tools, GUI, CLI, and Web interfaces, translations, and extensive documentation.
Plone is a content management system that is simple to set up, maintain, and modify. It is designed to be a corporate-ready content management system. It is ideal as an intranet and extranet server, as a document/Web publishing system, and as a groupware tool for collaboration between separately located entities. It aims to be a proper content management and publishing system, sharing the same qualities as Teamsite, Livelink, and Documentum.
The sourcecode XML metadata extraction tools are intended to be used for extracting and transforming XML-like markup embedded in source code comments into syntactically correct external entities or well-formed XML files. This can be used for JavaDoc-like code annotation, providing structured comments, or even embedding metadata used by the build process or configuration management tools.
doclifter helps with lifting documents with nroff markup to XML-DocBook. Lifting documents from presentation level to semantic level is hard, and a really good job requires human polishing. This tool aims to do everything that can be mechanized, and to preserve any troff-level information that might have structural implications in XML comments. TBL tables are translated into DocBook table markup, PIC into SVG, and EQN into MathML (relying on pic2svg and GNU eqn for the last two).
Epydoc is a tool for generating API documentation for Python modules, based on their inline documentation strings (docstrings). It produces HTML output (similar to the output produced by Javadoc) and LaTeX output. It supports four markup languages for documentation strings: Epytext, Javadoc, ReStructuredText, and plain text.