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Automatic documentation from sources, for MkDocs.

Features - Python handler - Requirements - Installation - Quick usage



  • Language-agnostic: just like MkDocs, mkdocstrings is written in Python but is language-agnostic. It means you can use it with any programming language, as long as there is a handler for it. The Python handler is built-in. Others are external. Maybe you'd like to add another one to the list? 😉

  • Multiple themes support: each handler can offer multiple themes. Currently, we offer the ⭐️ Material theme ⭐️ as well as basic support for the ReadTheDocs theme for the Python handler.

  • Cross-links across pages: mkdocstrings makes it possible to reference headings in other Markdown files with the classic Markdown linking syntax: [identifier][] or [title][identifier] -- and you don't need to remember which exact page this object was on. This works for any heading that's produced by a mkdocstrings language handler, and you can opt to include any Markdown heading into the global referencing scheme.

    Note: in versions prior to 0.15 all Markdown headers were included, but now you need to opt in.

  • Inline injection in Markdown: instead of generating Markdown files, mkdocstrings allows you to inject documentation anywhere in your Markdown contents. The syntax is simple: ::: identifier followed by a 4-spaces indented YAML block. The identifier and YAML configuration will be passed to the appropriate handler to collect and render documentation.

  • Global and local configuration: each handler can be configured globally in mkdocs.yml, and locally for each "autodoc" instruction.

  • Watch source code directories: you can tell mkdocstrings to add directories to be watched by MkDocs when serving the documentation, for auto-reload.

  • Reasonable defaults: you should be able to just drop the plugin in your configuration and enjoy your auto-generated docs.

Python handler¤


  • Data collection from source code: collection of the object-tree and the docstrings is done by pytkdocs.

  • Support for type annotations: pytkdocs collects your type annotations and mkdocstrings uses them to display parameters types or return types.

  • Recursive documentation of Python objects: just use the module dotted-path as identifier, and you get the full module docs. You don't need to inject documentation for each class, function, etc.

  • Support for documented attributes: attributes (variables) followed by a docstring (triple-quoted string) will be recognized by pytkdocs in modules, classes and even in __init__ methods.

  • Support for objects properties: pytkdocs detects if a method is a staticmethod, a classmethod, etc., it also detects if a property is read-only or writable, and more! These properties will be displayed next to the object signature by mkdocstrings.

  • Multiple docstring-styles support: almost complete support for Google-style, Numpy-style, and reStructuredText-style docstrings. Notes: only RST style is supported, not the whole markup. Numpy-style requires an extra dependency from pytkdocs: pytkdocs[numpy-style].

  • Admonition support in docstrings: blocks like Note: or Warning: will be transformed to their admonition equivalent. We do not support nested admonitions in docstrings!

  • Every object has a TOC entry: we render a heading for each object, meaning MkDocs picks them into the Table of Contents, which is nicely display by the Material theme. Thanks to mkdocstrings cross-reference ability, you can reference other objects within your docstrings, with the classic Markdown syntax: [this object][package.module.object] or directly with [package.module.object][]

  • Source code display: mkdocstrings can add a collapsible div containing the highlighted source code of the Python object.


See the Feature Roadmap issue on the bugtracker.


mkdocstrings requires Python 3.6 or above.

To install Python 3.6, I recommend using pyenv.
# install pyenv
git clone ~/.pyenv

# setup pyenv (you should also put these three lines in .bashrc or similar)
export PATH="${HOME}/.pyenv/bin:${PATH}"
export PYENV_ROOT="${HOME}/.pyenv"
eval "$(pyenv init -)"

# install Python 3.6
pyenv install 3.6.12

# make it available globally
pyenv global system 3.6.12

This project currently only works with the Material theme of MkDocs. Therefore, it is required that you have it installed.

pip install mkdocs-material


With pip:

pip install mkdocstrings

With conda:

conda install -c conda-forge mkdocstrings

Note for Python: you'll need an extra dependency to parse Numpy-style docstrings:

pip install pytkdocs[numpy-style]

Quick usage¤

# mkdocs.yml
  name: "material"

- search
- mkdocstrings

In one of your markdown files:

# Reference

::: my_library.my_module.my_class

See the Usage section of the docs for more examples!

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