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https://github.com/mkdocstrings/python-legacy
A legacy Python handler for mkdocstrings.
https://github.com/mkdocstrings/python-legacy
autodoc documentation mkdocs mkdocstrings mkdocstrings-handler python python-documentation
Last synced: about 1 month ago
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A legacy Python handler for mkdocstrings.
- Host: GitHub
- URL: https://github.com/mkdocstrings/python-legacy
- Owner: mkdocstrings
- License: isc
- Created: 2021-12-17T22:11:34.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2023-12-06T10:36:17.000Z (12 months ago)
- Last Synced: 2024-04-23T10:45:31.301Z (7 months ago)
- Topics: autodoc, documentation, mkdocs, mkdocstrings, mkdocstrings-handler, python, python-documentation
- Language: Python
- Homepage: https://mkdocstrings.github.io/python-legacy
- Size: 1.05 MB
- Stars: 3
- Watchers: 3
- Forks: 2
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- Funding: .github/FUNDING.yml
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
README
mkdocstrings-python-legacy
The legacy Python handler for mkdocstrings.
---
WARNING: We suggest using the new handler instead:
[mkdocstrings-python](https://mkdocstrings.github.io/python/).## Installation
You can install this handler as a *mkdocstrings* extra:
```toml title="pyproject.toml"
# PEP 621 dependencies declaration
# adapt to your dependencies manager
[project]
dependencies = [
"mkdocstrings[python-legacy]>=0.18",
]
```You can also explicitely depend on the handler:
```toml title="pyproject.toml"
# PEP 621 dependencies declaration
# adapt to your dependencies manager
[project]
dependencies = [
"mkdocstrings-python-legacy",
]
```## Preview
![mkdocstrings_python_gif](https://user-images.githubusercontent.com/3999221/77157838-7184db80-6aa2-11ea-9f9a-fe77405202de.gif)
## Features
- **Data collection from source code**: collection of the object-tree and the docstrings is done thanks to
[pytkdocs](https://github.com/mkdocstrings/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 Griffe in modules, classes and even in `__init__` methods.- **Multiple docstring-styles support:** common support for Google-style, Numpydoc-style,
and Sphinx-style docstrings.- **Admonition support in Google docstrings:** blocks like `Note:` or `Warning:` will be transformed
to their [admonition](https://squidfunk.github.io/mkdocs-material/reference/admonitions/) 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.