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Marimo is a next-generation Python notebook designed to transform data analysis, model training, and SQL querying into a reactive, AI-native experience. Built as an open-source tool, Marimo stores notebooks as pure Python scripts that are Git-friendly, reproducible, and executable as standalone scripts or web apps. It solves common pain points found in traditional notebooks by automatically updating dependent cells when code or values change, eliminating hidden state and synchronization errors. Marimo integrates interactive elements like sliders, dropdowns, and selectable plots to enhance data exploration. It supports first-class SQL querying across multiple backends and offers developer-friendly features such as autocomplete, debugging, and CLI tools. Marimo is ideal for developers, data scientists, machine learning engineers, and teams seeking a robust, reproducible, and shareable notebook environment that fits modern workflows.
4.7/5
High, consistent, and reproducible
Clean, interactive, and developer-focused
To provide a reactive, reproducible, and Git-friendly Python notebook environment for data science and development workflows.
Runs on desktop and web with integrations for GitHub, SQL databases, and supports exporting as web apps and scripts.
Open source and free to use
Features with the highest value for users are highlighted here.
Reactive execution model
Pure Python notebook files
Built-in interactive widgets
First-class SQL cell support
Git-friendly versioning
AI agent integration
CLI and VS Code extension
Reproducible execution environment
Data Scientists
Machine Learning Engineers
Python Developers
Research Teams
Data Analysts
DevOps Engineers
Educators
Startups
Open Source Contributors
AI Researchers
Free
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