protein-detective
Python package to detect proteins in EM density maps.
An MkDocs plugin to generate documentation for a rich argparse parser. It renders commands, sub commands and sub-sub commands which can have rich help messages.
An MkDocs plugin to generate documentation for a rich argparse parser. It renders commands, sub commands and sub-sub commands which can have rich help messages.
Install from Pypi:
pip install mkdocs-rich-argparse
In your mkdocs.yml
configuration file, add the plugin and configure it with the module and factory to document:
plugins:
- mkdocs-rich-argparse:
module: my_module
factory: my_factory_function
nav:
- CLI Reference: cli.md
Where my_module
is the Python module containing your argparse parser factory function, and my_factory_function
is the specific function that returns an argparse parser object. It should be callable without arguments. You can optionally add path
to specify the path to the module if it's not in the Python path.
When serving or building your MkDocs site, the plugin will generate a cli.md
file containing the documentation for the specified argparse parser.
See the example/ directory for a minimal example and a custom styled example.
If you want to contribute to the development of mkdocs_rich_argparse, have a look at the contribution guidelines.
A software for AI-driven identification of unknown proteins in cryo-EM density maps
Python package to detect proteins in EM density maps.
Python package to search/retrieve/filter proteins and protein structures