Using uv with marimo

marimo is an open-source Python notebook that blends interactive computing with the reproducibility and reusability of traditional software, letting you version with Git, run as scripts, and share as apps. Because marimo notebooks are stored as pure Python scripts, they are able to integrate tightly with uv.

You can readily use marimo as a standalone tool, as self-contained scripts, in projects, and in non-project environments.

Using marimo as a standalone tool

For ad-hoc access to marimo notebooks, start a marimo server at any time in an isolated environment with:

$ uvx marimo edit

Start a specific notebook with:

$ uvx marimo edit my_notebook.py

Using marimo with inline script metadata

Because marimo notebooks are stored as Python scripts, they can encapsulate their own dependencies using inline script metadata, via uv's support for scripts. For example, to add numpy as a dependency to your notebook, use this command:

$ uv add --script my_notebook.py numpy

To interactively edit a notebook containing inline script metadata, use:

$ uvx marimo edit --sandbox my_notebook.py

marimo will automatically use uv to start your notebook in an isolated virtual environment with your script's dependencies. Packages installed from the marimo UI will automatically be added to the notebook's script metadata.

You can optionally run these notebooks as Python scripts, without opening an interactive session:

$ uv run my_notebook.py

Using marimo within a project

If you're working within a project, you can start a marimo notebook with access to the project's virtual environment via the following command (assuming marimo is a project dependency):

$ uv run marimo edit my_notebook.py

To make additional packages available to your notebook, either add them to your project with uv add, or use marimo's built-in package installation UI, which will invoke uv add on your behalf.

If marimo is not a project dependency, you can still run a notebook with the following command:

$ uv run --with marimo marimo edit my_notebook.py

This will let you import your project's modules while editing your notebook. However, packages installed via marimo's UI when running in this way will not be added to your project, and may disappear on subsequent marimo invocations.

Using marimo in a non-project environment

To run marimo in a virtual environment that isn't associated with a project, add marimo to the environment directly:

$ uv venv
$ uv pip install numpy
$ uv pip install marimo
$ uv run marimo edit

From here, import numpy will work within the notebook, and marimo's UI installer will add packages to the environment with uv pip install on your behalf.

Running marimo notebooks as scripts

Regardless of how your dependencies are managed (with inline script metadata, within a project, or with a non-project environment), you can run marimo notebooks as scripts with:

$ uv run my_notebook.py

This executes your notebook as a Python script, without opening an interactive session in your browser.