Hey everyone! 
I’m excited to share a new project I’ve been working on: Dash Documentation Boilerplate. If you’ve ever found yourself struggling to keep documentation organized for your Dash components, data science experiments, or larger applications, this boilerplate might be just what you need.
What Is It?
The Dash Documentation Boilerplate is a complete setup for creating documentation for Dash projects, whether you’re working on individual components or a complete data science workflow. It’s structured to support Markdown-driven docs that integrate Python code, making it easy to create interactive examples that showcase your work.
Key Features
- Markdown + Python Integration: Write Markdown documentation and use Python files to add interactivity, all in the same structure.
- Customizable Themes: Comes with light and dark mode support, and you can easily tweak styles to fit your needs.
- Docker-Ready: The project includes a Dockerfile and docker-compose setup, making deployment and testing a breeze.
Why Use It?
- It saves you time by giving you a ready-made setup for documenting your work.
- It helps keep your documentation consistent and professional-looking.
- Docker support means you can share your project setup with others without compatibility headaches.
How to Get Started
- Clone the repo
https://github.com/pip-install-python/Dash-Documentation-Boilerplate.git - Install dependencies
- Run the server and start documenting!
The full project is hosted on GitHub, and I’d love to hear your feedback or see what you build with it.
Special thanks to GitHub - snehilvj/dmc-docs: Documentation for Dash Mantine Components library. & @AnnMarieW as most of the project was based on a trimmed down version of dmc docs.
Demo:
https://dash-documentation-boilerplate.onrender.com/pip/example
