marimo
marimo is an open-source reactive Python notebook that offers reproducible code execution, git-friendly storage as .py files, and the ability to be executed as scripts or deployed as interactive web apps.
https://marimo.io?ref=aipure
Product Information
Updated:Feb 16, 2025
marimo Monthly Traffic Trends
Product marimo experienced a 24.3% increase in visits, reaching 72.4K visits in January 2025. The release of marimo v0.9.0 with new features like custom chat interfaces and enhanced interactivity likely contributed to this growth.
What is marimo
marimo is a next-generation Python notebook environment designed to address common issues found in traditional notebooks like Jupyter. It provides a modern, developer-friendly interface for data science, machine learning, and general Python development. The platform combines the interactivity of notebooks with the robustness of professional development tools, making it suitable for both prototyping and production use cases. It can be installed via pip and comes with a command-line interface (CLI) that serves as the entry point to all marimo functionality.
Key Features of marimo
Marimo is a next-generation, open-source reactive Python notebook that combines modern development features with interactive data exploration capabilities. It offers automatic cell execution based on dependencies, git-friendly version control, the ability to run as standalone Python scripts, and deployment as web apps. The platform includes built-in UI elements, AI assistance, code formatting, and various developer-friendly features while maintaining reproducibility and collaborative workflows.
Reactive Execution: Automatically runs dependent cells when code changes, eliminating manual cell management and ensuring consistent notebook state
Python-First Design: Stores notebooks as pure .py files, enabling version control with git, script execution, and integration with standard Python tools
Interactive UI Elements: Provides built-in widgets and UI components for creating interactive dashboards and data exploration tools without additional frontend development
Developer-Friendly Environment: Includes GitHub Copilot, code completion, debugging panels, VS Code extension, and extensive hotkeys for enhanced productivity
Use Cases of marimo
Data Science Research: Run computational experiments and explore data with interactive, reproducible environments suitable for academic and research work
Educational Tools: Create interactive educational content and tutorials with built-in visualization and UI elements to engage students
Internal Tools Development: Build and deploy internal dashboards and tools using pure Python without need for separate frontend development or infrastructure
AI/ML Development: Develop and test machine learning models with interactive visualizations and real-time parameter adjustments
Pros
Excellent version control integration and collaboration features
Strong developer experience with modern tooling support
Reproducible execution environment with deterministic cell ordering
Cons
Some Python features and packages may not be supported in WASM mode
Learning curve for users familiar with traditional notebooks
How to Use marimo
Install marimo: Install marimo using pip: pip install marimo
Create a new notebook: Use the command 'marimo edit' in terminal to launch the notebook server and create a new notebook
Write Python code: Write Python code in cells just like a regular notebook. marimo supports standard Python packages like numpy, pandas, matplotlib etc.
Execute cells: Run cells using Shift+Enter or Ctrl+Enter. marimo will automatically run dependent cells when you modify a cell's output
Add interactive elements: Create interactive UI elements using marimo.ui (e.g. sliders, dropdowns, forms) and assign them to global variables to make your notebook interactive
Use reactive execution: When you modify a cell, marimo automatically runs all dependent cells that reference its variables, keeping your notebook state consistent
Save and version control: Notebooks are saved as .py files which can be version controlled with git. Changes produce clean diffs
Share and deploy: Share notebooks by exporting as HTML or serve as web apps using 'marimo run'. You can also try notebooks in the online playground at marimo.app
Configure settings: Customize behavior like autorun, lazy execution for expensive notebooks, and AI assistance through the settings menu
Use developer tools: Take advantage of features like GitHub Copilot integration, VS Code extension, debugging panels, and extensive keyboard shortcuts
marimo FAQs
Marimo is an open-source reactive notebook for Python that offers reproducible, git-friendly notebooks that can be executed as scripts and shared as apps.
Official Posts
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Analytics of marimo Website
marimo Traffic & Rankings
72.4K
Monthly Visits
#382555
Global Rank
#4435
Category Rank
Traffic Trends: Oct 2024-Jan 2025
marimo User Insights
00:02:19
Avg. Visit Duration
5.48
Pages Per Visit
42.77%
User Bounce Rate
Top Regions of marimo
US: 34.01%
DE: 9.33%
IT: 7.61%
FR: 4.55%
MX: 3.86%
Others: 40.63%
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