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This page is primarily about tools that help, specifically, in generating '''documentation for software written in Python''',
i.e., tools that can use language-specific features to automate at least a part of the code documentation work for you.
The last section also lists general documentation tools with no specific support for Python (though some of them are themselves written in Python).

Tools that support auto-documentation of code can be broadly classified into tools that:

 * import the code to generate documentation based on runtime introspection
 
 * parse and analyze the code statically (without running it)
 
See [[API Extraction|here]] for a longer explanation of the two concepts.

Tools that generate documentation from user-provided input typically use plain text markup formats such as
[[http://docutils.sourceforge.net/rst.html|reStructuredText]] (reST, the markup used for writing the official Python documentation) or
[[http://daringfireball.net/projects/markdown/|Markdown]].


== Python docstrings ==
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The various documentation tools available generally do one of two things:

 * they either process docstrings in some way to make finding/reading documentation on a given module easier (so-called "API documentation tools"), or
 * they have nothing to do with docstrings and instead focus on processing documentation in some way (such as converting your plain text docs into html)

Currently, the Python docs consist of 2 parts:

 * the API docs that you can read using the `help()` command (pydoc can also provide these as html and even serve them from your local machine), and
 * the manuals/guides/howtos at http://python.org/doc/ which are written in reStructuredText (a plain text format) and processed into various output formats by the Sphinx tool.

When writing documentation for your own modules (either as manuals or docstrings (preferably both)), I suggest you use a plain text markup such as reST or [[http://daringfireball.net/projects/markdown/|Markdown]].

This page is primarily about tools that help, specifically, in generating documentation for software written in Python, i.e., tools that can use language-specific features to automate at least a part of the code documentation work for you. The last section also lists general documentation tools with no specific support for Python (though some of them are themselves written in Python).

Tools that support auto-documentation of code can be broadly classified into tools that:

  • import the code to generate documentation based on runtime introspection
  • parse and analyze the code statically (without running it)

See here for a longer explanation of the two concepts.

Tools that generate documentation from user-provided input typically use plain text markup formats such as reStructuredText (reST, the markup used for writing the official Python documentation) or Markdown.

Python docstrings

Python modules are usually documented using docstrings. You can read a module's docstrings from the Python interactive prompt with the help() function. For example:

import distutils
help(distutils)

The help() function uses Python's standard pydoc module, as does the pydoc command that comes with Python.

Automatic Python API documentation generation tools

  • autosummary, an extension for the Sphinx documentation tool: http://sphinx.pocoo.org/ext/autosummary.html

  • autodoc, a Sphinx-based processor that processes/allows reST doc strings,

  • pdoc, a simple command line tool and library to auto generate API documentation for Python modules. Designed to replace epydoc and works on both Python 2 and 3. Includes support for cross-linking across modules, documentation for variables and namedtuples, and a built-in HTTP server to view documentation of local packages.

  • PyDoc, http://pydoc.org/ documentation browser (in HTML) and/or an off-line reference manual. Also in the standard library as pydoc

  • pydoctor, https://launchpad.net/pydoctor replacement for now inactive Epydoc, pydoctor was born for the needs of Twisted project

  • Doxygen < http://www.doxygen.org > can create documentation in various formats (HTML, LaTeX, PDF, ...) and you can include formulas in your documentation (great for technical/mathematical software). Together with Graphviz < http://www.research.att.com/sw/tools/graphviz/ > it can create diagrams of your code (inhertance diagram, call graph, ...). Another benefit is that it handles not only Python, but also several other programming languages like C, C++, Java, etc.

No longer under development

Documentation processing tools

Other projects that can be used to produce API documentation

  • XIST - an XML based extensible HTML generator written in Python.

  • HtmlGen - a Python library for generating HTML documents.

Other documentation processing tools

  • Pandoc -- written in Haskell, this tool can read and write a number of formats (including reST).

  • Gouda -- a Python script (which uses Pandoc under the hood) to generate multi-chapter html documents from Markdown text files.


CategoryDocumentation

DocumentationTools (last edited 2019-07-03 12:34:58 by JaraKaca)

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