marimo

Reactive Python notebooks automatically update cells based on dependencies, similar to spreadsheets. This framework lets you build and execute notebooks where changing a parameter instantly updates all dependent cells and outputs in real-time.

Interactive dashboards can be built using a Python API with embedded UI components like sliders. As parameters change, the reactive notebook framework updates the dashboard outputs in real-time, simplifying the creation of dynamic visualizations.

Yes, embedding notebooks within notebooks is supported to allow modular workflows. You can compose multiple reactive Python notebooks together, enabling interactive content and code to be nested for complex educational or analytical tasks.

Python notebooks can be shared as pure code files, simplifying collaboration and reproducibility. Storing notebooks as standard code files ensures that reactive dependencies and embedded UI components remain intact when distributed.

Yes, the marimo library and related dependencies are required for full functionality. You need this Python framework installed in your environment to build, execute, and embed notebooks with reactive dependencies and interactive UI components.

Reactive notebooks are well-suited for educational content because they display code and outputs side by side. Educators can use embedded UI components to show interactive examples that update automatically as variables change.