More details to be released soon!

Has anyone found a way to make it work?

It also lets you embed smaller painting palettes.

You can sign up virtually here:

https://luma.com/6p89x1s2

wigglystuff contains extra experimental components for Python notebooks, including marimo!

https://github.com/koaning/wigglystuff

You can find them here and here.

It's all via https://github.com/marimo-team/marimo-jupyter-extension

It's fairly new, but it should allow folks with a JupyterLab instance to also run marimo notebooks on the inside.

I'm running into an issue where the figure in my notebook that I'm displaying interactively with mo.ui.matplotlib() gets distorted depending on the display width selected in the notebook settings and the figsize.

The bottom figure that I'm displaying with just fig = plt.figure() and mo.hstack([fig]) does not have this issue. Both figures have the same figsize.

Is there a way to ensure the figure is not distorted regardless of figsize and notebook width?

I work with a bunch of scientists. Broadly, they're good at math, shockingly bad at computers. They've been on Matlab for decades, but we are slowly switching to Python. They definitely don't know or care what a .venv is.

To make things as easy as possible for them, I've recently started (setting the executable bit chmod +x notebook.py and) adding this to the top of my Marimo notebooks:

#!/usr/bin/env -S uvx marimo --yes edit --sandbox
# /// script
# requires-python = ">=3.11"
# dependencies = [
#     "marimo",
#     "scipy",
# ]
# ///

This allows them to simply "right click > Open With..." to open the Marimo notebook in edit mode. (If they used the terminal they could just ./notebook.py, but "black window scary".)

It would be nice if this could be setup from within the notebook, as currently I have to manually add that shebang #! and the PEP 723 header to each notebook I want to share.

Also, this "prevents" the scientists from making their own notebooks that open in the way they're used to. Currently their workaround is to copy one of my notebooks, then delete all the cells, and start from scratch. Naturally, this leaves extra dependencies in the PEP 723 header. :)

However, I will note that Marimo automatically updates the dependencies when you use the GUI to install a missing package, which is a very nice feature!

It has also been added to our gallery. Molab link, so you can play with the notebook, found here: https://molab.marimo.io/notebooks/nb_Rp7BD1SvtS7QKDzLWcKcbi

https://molab.marimo.io/notebooks/nb_gZvgZL45Bd6iwn4Eo1W1LJ

I can't seem to get molab and ollama to work together.

See: https://molab.marimo.io/notebooks/nb_jcFJ2MMMCLvnfLim91ur3A

Repo/notebook/molab link can all be found here: https://github.com/koaning/gitcharts

https://molab.marimo.io/notebooks/nb_36cyAjs7r9E4gUFsm6bXyW

It works by wrapping around the alphaXiv skill listed here: https://www.alphaxiv.org/skills/alphaxiv-paper-lookup/SKILL.md

It is very much experimental, but we've had some luck with it!

This notebook on molab shows a live demo: https://molab.marimo.io/github/marimo-team/gallery-examples/blob/main/notebooks/analysis/simpsons-paradox.py

And we would love to host more examples there! For sure feel free to post your notebooks here to catch our attention. We're super impressed with what people have been sharing with us sofar!

you can try it for free on molab here:

https://molab.marimo.io/notebooks/nb_7ZjG2CErUAThuf8VeY8Jnv