marimo

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Last updated: September 28, 2025

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What is marimo?

marimo is an open-source, AI-native reactive Python notebook built for data and AI workflows, combining context-aware coding assistance, SQL-in-Python, interactive UI components, and deterministic, Git-friendly .py notebooks to deliver reproducibility, rapid iteration, and seamless app deployment from a modern developer experience.

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marimo's Top Features

Open-source, AI-native reactive Python notebook

Full-cell AI code generation and refactoring (hosted and local models)

Context-aware AI assistant with access to in-memory variables

Fully reactive execution engine with automatic dependency management

Native interactive UI components bound to Python variables

Git-friendly .py notebooks with deterministic, reproducible execution

Built-in SQL for dataframes, databases, warehouses, and sheets

Shareable and deployable as scripts, apps, and slides; WASM support

Configurable AI models and prompts; quick switching between local and hosted

High-performance dataframe viewer with search, filter, and sort at scale

Modern editing experience: Copilot, vim keybindings, sidebar chat, variable explorer

Testing and composability: pytest on notebooks; import between notebooks

Built-in package management and environment isolation

VS Code extension and HTML export

Ruff-based code formatting and fast code completion

Frequently asked questions about marimo

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    Use Cases

    Data Scientist

    Reproducible exploratory data analysis and modeling with reactive cells, widgets, and deterministic execution.

    ML Engineer

    Rapidly prototype and deploy interactive model demos and apps from the same notebook.

    Data Analyst

    Run SQL over warehouses and dataframes, then refine results with Python in a single workflow.

    Research Scientist

    Version-control experiments as .py notebooks with consistent, repeatable runs and no hidden state.

    Educator

    Teach Python and data concepts using interactive UI components and share read-only live notebooks.

    Team Lead

    Enable code reviews and collaboration via Git-friendly notebooks, clear diffs, and CI-friendly tests.

    AI Engineer

    Use prompt-to-code generation, refactoring, and autocomplete with local or hosted LLMs.

    Data Engineer

    Inspect, validate, and profile large tables using the high-performance dataframe viewer and SQL-in-notebook.

    Developer

    Build internal tools quickly with reactive UI elements and deploy them as interactive apps or slides.

    MLOps/QA

    Run pytest on notebooks and integrate into CI to ensure reproducibility and catch regressions.

    Learn to use AI like a Pro

    Get the latest AI workflows to boost your productivity and business performance, delivered weekly by expert consultants. Enjoy step-by-step guides, weekly Q&A sessions, and full access to our AI workflow archive.

    Canva Logo
    Claude AI Logo
    Google Gemini Logo
    HeyGen Logo
    Hugging Face Logo
    Microsoft Logo
    OpenAI Logo
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    Canva Logo
    Claude AI Logo
    Google Gemini Logo
    HeyGen Logo
    Hugging Face Logo
    Microsoft Logo
    OpenAI Logo
    Zapier Logo