How is marimo different from Jupyter notebooks?

Marimo differs from Jupyter in several ways: 1) It has reactive execution where cells automatically update when dependencies change 2) It stores notebooks as pure Python (.py) files instead of JSON 3) It has built-in UI elements that sync with Python code 4) It maintains consistent state by automatically cleaning up variables when cells are deleted

What are the key features of marimo?

Key features include: reactive execution, interactive UI elements, git-friendly Python file format, GitHub Copilot integration, AI assistants, code formatting, HTML export, VS Code extension, interactive dataframe viewer, and the ability to run as both scripts and web apps

How can I share marimo notebooks?

Marimo notebooks can be shared in multiple ways: as Python scripts, through git collaboration, by exporting as HTML, or by serving as web apps using the marimo CLI

Where can I try marimo?

You can try marimo through their online playground at marimo.app, which runs entirely in the browser

Marimo is used by developers at major institutions including Stanford, Johns Hopkins, UC Berkeley, Princeton, Mozilla AI, BlackRock, Chan Zuckerberg Initiative, and others

marimo Howto

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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.

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Features of marimo & Use Cases

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.

marimo Monthly Traffic Trends

Marimo experienced a 26.3% increase in traffic, reaching 91.4K visits. The positive feedback on Product Hunt and its reproducible experiments, versioning with Git, and interactive web app sharing features likely contributed to this growth.

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marimo Howto

More Information

How to Use marimo

marimo FAQs

1. What is marimo?

2. How is marimo different from Jupyter notebooks?

3. What are the key features of marimo?

4. How can I share marimo notebooks?

5. Where can I try marimo?

6. Who uses marimo?

marimo Monthly Traffic Trends

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Latest AI Tools Similar to marimo

Popular AI Tools Like marimo