marimo

marimo

marimo is an open-source, reactive Python notebook platform that delivers an AI-native programming experience. It supports data science and machine learning workflows, and can deploy notebooks as web applications.
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Python notebooksReactive programming toolsAI-native notebookReproducible data science environmentJupyter alternativeMachine learning development platform

Features of marimo

Uses a reactive programming model that automatically tracks and resolves dependencies between cells
Built-in interactive UI components that bind Python variables in real time and trigger code execution
Stores notebooks as plain Python files, making version control with Git seamless
Supports one-click conversion of notebooks into scripts, web apps, or slides
Provides a free cloud environment named molab, enabling you to create, run, and share notebooks
Built-in SQL querying support, enabling direct operations on data frames and databases

Use Cases of marimo

For data scientists performing exploratory data analysis, use interactive components to adjust parameters in real time and visualize results
Machine learning engineers build model evaluation pipelines to ensure determinism and reproducibility of experiments
Educators create teaching materials, turning Python notebooks into interactive lessons or web applications
Research teams collaborate on projects, manage code versions with Git, and share reproducible workflows
Developers rapidly prototype data-driven web applications without writing separate front-end and back-end code
Enterprises replace traditional Jupyter or Databricks deployments with maintainable production-grade data pipelines

FAQ about marimo

QWhat is marimo?

Marimo is an open-source, reactive Python notebook platform, positioned as a modern evolution of Jupyter Notebook, focused on providing reproducible, interactive data science and machine learning development environments.

QWhat are the differences between marimo and Jupyter Notebook?

Marimo uses a reactive programming model that automatically manages cell execution order and variable state, solving the manual execution-order management issue in Jupyter, and stores notebooks as plain Python files, making version control and deployment easier.

QIs marimo free to use?

Marimo is an open-source project and can be freely installed locally. It also offers a free cloud service called molab for creating, running, and sharing notebooks.

QHow to convert an existing Jupyter notebook to marimo format?

Run the command `marimo convert notebook.ipynb > notebook.py` to convert a Jupyter notebook to marimo's Python file format.

QWho is marimo suitable for?

Suitable for data scientists, machine learning engineers, researchers, educators, and any developers and teams who need highly reproducible, interactive Python programming environments.

QHow can marimo notebooks be shared and collaborated on?

Notebooks can be shared directly via the molab cloud service, or by using its GitHub integration to generate share badges; community users can also publish notebooks to the online gallery.

QDoes marimo support AI features?

Marimo offers an AI-native programming experience, supporting AI-generated notebooks and integrating AI assistants such as GitHub Copilot to enhance development efficiency.