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The only thing worse than documentation never written, is documentation written but never discovered.

portray is a Python3 command line tool and library that helps you create great documentation websites for your Python projects with as little effort as possible.

Key Features:

Zero-Config : No configuration is necessary to use portray . Just run portray in the root of your Python project and it will find your documentation.

: No configuration is necessary to use . Just run in the root of your Python project and it will find your documentation. Statically Generated : portray websites are easy to host on GitHub pages and other similar services as they are outputted as standard static HTML websites.

: websites are easy to host on GitHub pages and other similar services as they are outputted as standard static HTML websites. Markdown Aware : portray will automatically include your projects .md files and render them into HTML. It will also find and render Markdown within __doc__ strings.

: will automatically include your projects files and render them into HTML. It will also find and render Markdown within strings. Fully Configurable : While portray doesn't have to be configured, you still can fully configure it within the standard pyproject.toml file.

: While doesn't have to be configured, you still can fully configure it within the standard file. Easily Programmable : portray exposes a clean and simple Python API.

: exposes a clean and simple Python API. Searchable : Out of the box portray makes all of your documentation, even autogenerated code references, free-text searchable.

: Out of the box makes all of your documentation, even autogenerated code references, free-text searchable. Themeable: portray is compatible with all existing MkDocs Themes.

Under the hood, portray combines the Markdown documentation rendering capabilities provided by MkDocs with the automatic reference documentation generated by pdocs.

Quick Start

The following guides should get you up and running with a documentation website in no time.

Installation - TL;DR: Run pip3 install portray within your projects virtual environment. Command Line Usage - TL;DR: Run portray in_browser to test and portray on_github_pages to deploy. API Usage - TL;DR: Everything available via the CLI is also easily available programmatically from within Python. Configuration - TL;DR: Put all configuration within a [tool.portray] section of your pyproject.toml file.

Why Create Portray?

I create a lot of Python projects and I've always wanted a quick way to build documentation sites for them that included both manually written guides and autogenerated reference documentation. Tools have improved over the years, but still nothing has given me this experience out of the box. Portray isn't a competitor for the 2 newer Python documentation projects (pdocs and MkDocs), rather it is melding of them together to give me the quick to create and comprehensive documentation website generation I've always wanted.

Thanks and I hope you too find portray useful!

~Timothy Crosley