Skip to main content

A library for making reactive notebooks and apps

Project description

A next-generation Python notebook: explore data, build tools, deploy apps!

Docs · Discord · Examples

marimo is a next-generation Python notebook where every notebook is also shareable as an interactive web app: explore data, run experiments, build tools, and deploy apps, all from one seamless environment.

pip install marimo && marimo tutorial intro

marimo

Watch the animated GIF as a video at this link.

When you run a cell, marimo automatically runs all other cells that depend on it (like a spreadsheet!). This reactivity, along with marimo's built-in interactive UI elements, lets you make powerful notebooks and apps that make your data tangible.

Highlights.

  • reactive: run a cell, and marimo automatically runs cells that depend on it
  • interactive: connect inputs like sliders, dropdowns, plots, and more to Python
  • expressive: write dynamic makdown parametrized by UI elements, plots, or anything else
  • Pythonic: no callbacks, no magical syntax — just Python
  • git-friendly: notebooks stored as .py files

Quickstart

Installation. In a terminal, run

pip install marimo
marimo tutorial intro

You should see a tutorial notebook in your browser.

Create notebooks. Create an empty notebook with

marimo edit

or create/edit a notebook with a given name with

marimo edit your_notebook.py
  • marimo reacts to your code changes, like a spreadsheet! This rapid feedback ensures your code and outputs are always in sync.
  • Import marimo in your notebooks to use interactive elements, like sliders, dropdowns, tables, and more.

See our docs to learn more, including how to layout outputs in tabs, rows, columns, and more.

Run apps. Run your notebook as a web app, with Python code hidden and uneditable:

marimo run your_notebook.py

This app is deployed on marimo cloud, our unified platform for deploying and sharing notebooks and apps.

Automatically convert Jupyter notebooks. Automatically translate Jupyter notebooks to marimo notebooks:

marimo convert your_notebook.ipynb > your_notebook.py

Tutorials. List all tutorials:

marimo tutorial --help

GitHub Copilot. The marimo editor natively supports GitHub Copilot. Enable it via the settings menu in the marimo editor.

VS Code extension. If you prefer VS Code over terminal, try our VS Code extension.

Learn more

marimo is easy to get started with, with lots of room for power users. You can build powerful apps, including data labeling tools, embedding visualizers, model evaluation dashboards, and more, with surprisingly little code.

Examples are available in the examples/ directory. We've deployed many of these examples at our public gallery; try them out!

Ready to learn more? Check out our docs!

Tutorial Inputs Plots Layout

FAQ

See the FAQ at our docs.

Contributing

We appreciate all contributions! You don't need to be an expert to help out. Please see CONTRIBUTING.md for more details on how to get started.

Questions? Reach out to us on Discord.

Community

We're building a community. Come hang out with us!

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

marimo-0.1.63.tar.gz (8.1 MB view details)

Uploaded Source

Built Distribution

marimo-0.1.63-py3-none-any.whl (8.3 MB view details)

Uploaded Python 3

File details

Details for the file marimo-0.1.63.tar.gz.

File metadata

  • Download URL: marimo-0.1.63.tar.gz
  • Upload date:
  • Size: 8.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.13

File hashes

Hashes for marimo-0.1.63.tar.gz
Algorithm Hash digest
SHA256 757c4814c3b531120dc461eb9ee0222665ed2e615317bbf01923b7b8a76822aa
MD5 c4c0292a3631d4a647f214231dfc8baa
BLAKE2b-256 1b82bb12ab4e8f30089ac832f4eb26f28d32acd7702ea26a1d2d555d205458d7

See more details on using hashes here.

File details

Details for the file marimo-0.1.63-py3-none-any.whl.

File metadata

  • Download URL: marimo-0.1.63-py3-none-any.whl
  • Upload date:
  • Size: 8.3 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.13

File hashes

Hashes for marimo-0.1.63-py3-none-any.whl
Algorithm Hash digest
SHA256 55d5fdec89401d0caaf2a093c45db5708d9ad6d07d77cef4c9b1a2a52cdea717
MD5 7a0c5e093b88f4bf3d9e7e0f390fcaa3
BLAKE2b-256 27c9695af4503a8bdd8e2757bba67769c966b973340997c98515dd7388748830

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page