marimo

What is marimo?

marimo is a next-generation Python notebook that redefines interactive computing by ensuring reproducibility, maintainability, and seamless interactivity. Unlike traditional notebooks, marimo stores notebooks as pure Python scripts (.py files), enabling version control with Git, execution as scripts, and deployment as web apps. It features reactive execution that automatically updates dependent cells, eliminating hidden state and synchronization errors. With built-in SQL support, interactive UI elements, and AI-native editor capabilities, marimo streamlines data exploration, prototyping, and production workflows for Python developers.

Key Features

• Reactive Execution

  Automatically reruns dependent cells when a cell or UI element changes, maintaining consistent code, outputs, and program state without manual intervention.

• Python-First and Git-Friendly

  Notebooks are stored as pure Python files, enabling easy version control, script execution, and symbol imports between notebooks or Python files.

• Built-in Package Management and Sandboxed Environments

  Serializes package dependencies within notebooks and can create isolated virtual environments to ensure reproducibility down to package versions.

• Interactive UI Elements

  Includes sliders, dropdowns, dataframes, and plots bound directly to Python values, enabling fast, code-free interactivity and data exploration.

• First-Class SQL Support

  Query dataframes and databases directly within notebooks using SQL cells, with results returned as Python dataframes for further manipulation.

• Shareable and Deployable

  Notebooks can be exported as interactive web apps powered by WebAssembly or served via the CLI, facilitating easy sharing and deployment.

Use Cases

• Data Science and Analysis : Data scientists can build reproducible, interactive notebooks that integrate Python and SQL for seamless data querying and visualization.
• Research and Prototyping : Researchers benefit from deterministic execution and reactive programming to rapidly iterate on code and models without hidden state bugs.
• Collaborative Development : Teams can version control notebooks as Python scripts, share interactive apps, and maintain consistency across development and production.
• Educational Tools : Educators and learners can create interactive, reproducible notebooks that combine code, visualizations, and UI elements for effective teaching.
• Production Deployment : Developers can transition from prototyping to production by running notebooks as scripts or deploying them as web apps with minimal friction.

FAQs