Overview

If you're a Python developer looking for a straightforward way to generate Markdown documentation, the Python Docstring Markdown module may be just what you need. This tool simplifies the process of extracting docstrings from your Python package or directory, allowing you to create organized documentation without the overhead of more complex solutions like mkdocs or readthedocs. It's an ideal choice for small projects where simplicity and efficiency are key.

With its powerful features, this tool can be a tremendous asset for both new projects and existing codebases. By walking through your codebase and generating Markdown documentation, it not only helps to maintain clarity in your project but also encourages good documentation practices.

Features

Crawls Packages and Modules: Utilizes the ast module to traverse through packages, modules, classes, functions, and methods effortlessly, ensuring comprehensive coverage of your code.
Auto-detects Docstring Styles: Recognizes various docstring formats such as ReST, Google, Numpydoc-style, and Epydoc using docstring-parser-fork, making it versatile for different coding standards.
Generates a Table of Contents: Automatically creates a table of contents with anchor links that improves the navigation of the generated documentation, enhancing user experience.
Tracks Module Exports: Effectively documents module exports through the __all__ attribute, providing clarity on what is meant to be publicly available in your modules.
Preserves Module Hierarchy: Maintains a clear structure in documentation, allowing users to understand the relationship between different parts of your code.
Handles Nested Structures: Capably manages nested classes and functions, ensuring that complex code structures remain intelligible in the output.
Flexible Installation and Usage: Offers straightforward installation and usage through the command line, making it accessible for developers of all skill levels.
Contribution Friendly: Encourages community engagement by welcoming feedback and contributions, fostering collaboration and improvement within the project.

Criccomini

Python Docstring Markdown