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What is marimo?
marimo is an open-source reactive notebook designed for Python. It enables reproducible workflows, seamless collaboration with git, and versatile deployment options as either scripts or web applications.
This tool enhances the traditional notebook experience with automatic updates to outputs and interactive UI elements, offering a more dynamic and intuitive way to work with data and code. marimo prioritizes a Python-first design, ensuring notebooks are stored as pure .py files, compatible with standard version control and development tools.
Features
- Reactive Execution: Outputs update automatically when code or related cells are modified.
- Interactive Elements: Incorporates UI elements like dataframe GUIs and plots for interactive data exploration.
- Reproducible: Notebooks are executed in a deterministic order with no hidden state.
- Git-Friendly: Notebooks are stored as .py files, making them easy to version control with git.
- Deployable: Can be run as Python scripts or deployed as read-only web apps.
- Python-First Design: Pure Python notebooks, compatible with existing Python tools and workflows.
Use Cases
- Computational experiments and data exploration
- Sharing and communicating research findings
- Creating interactive educational applications
- Building generative AI applications
- Developing and deploying internal tools
FAQs
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How does marimo differ from Jupyter Notebooks?
marimo provides reactive execution, meaning outputs update automatically as code changes, and it stores notebooks as pure Python (.py) files, enhancing reproducibility and git compatibility, unlike Jupyter's JSON-based .ipynb files.
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marimo Uptime Monitor
Average Uptime
99.93%
Average Response Time
201.33 ms
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