Skip to main content

Your Project with Great Documentation

Project description

portray - Your Project with Great Documentation.


PyPI version Build Status codecov Join the chat at https://gitter.im/timothycrosley/portray License Downloads


Read Latest Documentation - Browse GitHub Code Repository


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.

Example Usage Gif

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.
  • Statically Generated: portray 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.
  • Fully Configurable: While portray doesn't have to be configured, you still can fully configure it within the standard pyproject.toml file.
  • Easily Programmable: portray 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.
  • 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.

  1. Installation - TL;DR: Run pip3 install portray within your projects virtual environment.
  2. Command Line Usage - TL;DR: Run portray in_browser to test and portray on_github_pages to deploy.
  3. API Usage - TL;DR: Everything available via the CLI is also easily available programmatically from within Python.
  4. 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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

portray-1.3.2.tar.gz (14.0 kB view details)

Uploaded Source

Built Distribution

portray-1.3.2-py3-none-any.whl (14.7 kB view details)

Uploaded Python 3

File details

Details for the file portray-1.3.2.tar.gz.

File metadata

  • Download URL: portray-1.3.2.tar.gz
  • Upload date:
  • Size: 14.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.0.5 CPython/3.8.2 Linux/5.4.0-7634-generic

File hashes

Hashes for portray-1.3.2.tar.gz
Algorithm Hash digest
SHA256 4c2f3ef64278877cbcfc4756d9a70edb0e4fc7875e0000d0ad9f1412d213eb49
MD5 3716357eec741b5dd4061d45e931833b
BLAKE2b-256 1adb7a5a1c3b7c65e5ef29919a396d63f492ccc111e67650c246aab261b3c19c

See more details on using hashes here.

File details

Details for the file portray-1.3.2-py3-none-any.whl.

File metadata

  • Download URL: portray-1.3.2-py3-none-any.whl
  • Upload date:
  • Size: 14.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.0.5 CPython/3.8.2 Linux/5.4.0-7634-generic

File hashes

Hashes for portray-1.3.2-py3-none-any.whl
Algorithm Hash digest
SHA256 5f108eb4c6efc74901a138a1fe44384e18e5fdc4c8de6deda64b416ba015e52c
MD5 839cd64044a86cf916ef9b9e907987b5
BLAKE2b-256 a506c86b12666d1be0fa2eb2ba908f46b841d4394c3de6488f7a586a303d2288

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page