Guides

These guides cover marimo’s core concepts.

Overview	An overview of basic concepts
Reactivity	How reactive execution works
Interactivity	Using interactive UI elements
Coming from Jupyter	marimo for Jupyter users
Runtime configuration	Configure how and when cells are run
Outputs	Markdown, plots, and other visual outputs
Editor features	View variables, cell dependencies, errors, and more
Dataframes	Working with dataframes
Plotting	Interactive and reactive plots
Reactive state	Mutable, reactive state
Integrating with marimo	Rich displays of objects, custom UI plugins
Run as an app	Running notebooks as apps
Run as a script	Running notebooks as scripts
Best practices	Best practices when working with marimo
Performance	Writing performant notebooks
WASM notebooks	Running notebooks in the browser (no backend required!)
AI completion	Using AI to speed up your coding
Exporting	Exporting notebooks to HTML and flat scripts
Deploying	Deploying marimo notebooks and apps

Learn by doing!

Prefer a hands-on learning experience? marimo comes packaged with interactive tutorials that you can launch with marimo tutorial at the command line.