Doodl

Doodl is the Swiss Army knife of data visualization. It has several audiences:

• Folks who want to write documents in Markdown that include high quality interactive (output format permitting) visualizations.

• Data analysts and data scientists who use any of the several Jupyter notebook derivative platforms to do data science.

• Web developers who would like to easily add charts and graphs to their Web apps in any of the major Web app platforms (work in progress).

• And soon, chatbot and other gen AI developers who would like their products to include high quality graphs and charts.

Under the hood, doodl is based on d3, which means that anything that you can do in d3, you can do in a PDF, Jupyter notebook, Web app or a chatbot.

Here's a quick guide to what you'll find in the documentation:

• The getting started guide will step you through how to set up doodl and get going.

• Some general topics like invoking doodl and color palettes explain doodl in action.

• Each of the chart types is documented individually, with examples.

• Finally, some special topics like doodl's history, building your own chart types and using matplotlib (and more) with doodl will turn you into a doodl expert in no time.

We hope that you enjoy using doodl as much as we've enjoyed building it. If you'd like to help out, or you have an idea or a suggestion, drop by github and say hello!