Can I convert my existing .ipynb notebooks to marimo?

Yes, this skill provides guidance on using marimo's built-in conversion tools to migrate Jupyter notebooks while helping you adapt the code to a reactive paradigm.

Is marimo suitable for production data applications?

Absolutely. Marimo notebooks are stored as pure Python files and can be deployed as standalone web applications or executed as standard scripts with command-line arguments.

What makes marimo different from traditional Jupyter notebooks?

Unlike Jupyter, marimo uses a reactive execution model where changing a variable automatically updates all dependent cells, ensuring the notebook state is always consistent and reproducible.

How does marimo handle UI interactivity?

Marimo uses specialized UI elements (mo.ui) whose values are automatically synchronized with the Python kernel, triggering downstream cell updates without requiring manual execution.

How does it handle SQL and dataframes?

It features native DuckDB integration via mo.sql, allowing you to run SQL queries directly against dataframes and visualize results instantly in a reactive manner.

Marimo Reactive Notebook Development

Name: Marimo Reactive Notebook Development
Author: CodingKaiser

byCodingKaiser

Ciencia de Datos y ML

Builds reactive Python notebooks and interactive data applications using marimo's directed acyclic graph (DAG) execution model.

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This skill enables Claude to provide expert guidance on marimo, a next-generation Python notebook environment that treats code cells as a reactive graph. It assists developers in creating interactive dashboards, converting legacy Jupyter notebooks, and building deployable data apps. By enforcing marimo's unique reactivity rules—such as preventing variable redeclaration and managing automatic cell execution—this skill ensures the creation of robust, reproducible, and highly interactive data science workflows that can be run as scripts or served as web applications.

Características Principales

Interactive UI component implementation (sliders, tables, and forms)
Jupyter notebook to marimo conversion and migration support
Deployment guidance for standalone web apps and CLI scripts
Reactive execution model and DAG structure management
Integrated SQL/DuckDB support and advanced data visualization
0 GitHub stars

Casos de Uso

Converting existing Jupyter (.ipynb) notebooks to reproducible marimo files
Building interactive data dashboards with real-time reactive UI updates
Developing Python scripts that serve as both CLI tools and interactive apps

Acerca de

Características Principales

Interactive UI component implementation (sliders, tables, and forms)
Jupyter notebook to marimo conversion and migration support
Deployment guidance for standalone web apps and CLI scripts
Reactive execution model and DAG structure management
Integrated SQL/DuckDB support and advanced data visualization
0 GitHub stars

Casos de Uso

Converting existing Jupyter (.ipynb) notebooks to reproducible marimo files
Building interactive data dashboards with real-time reactive UI updates
Developing Python scripts that serve as both CLI tools and interactive apps