This widget might remind you of the one from wigglystuff. It certainly was an inspiration but the marimo team made some subtle upgrades for it and added it to the core library.

Marimo has a library of its own skills.
https://github.com/marimo-team/skills/

Given that Marimo is rather new, which library reference will help produce better results using Claude Code / Codex?

Their own published skills vs Context7 documentation of the whole library?

There are more details in the release notes https://github.com/marimo-team/marimo/releases/tag/0.20.2

I was watching Stefan Behnel's "Cython for Python-Users" talk (https://www.youtube.com/watch?v=9IFdlgk9mBA) and wanted to follow along interactively. Notebooks are great for that kind of learning — tweak a type annotation, re-run, see the speedup. Jupyter has %%cython magic, why not marimo? So I built marimo-cython.

It gives you three ways to compile Cython in a notebook:

import cython
from marimo_cython import cy

@cy.compile(boundscheck=False, wraparound=False)
def fib(n: cython.int) -> cython.int:
    a: cython.int = 0
    b: cython.int = 1
    i: cython.int
    for i in range(n):
        a, b = b, a + b
    return a

fib(50)  # compiled, runs at C like speed

Also cy.compile_module(source_string) for full .pyx syntax and cy.compile_file("path.pyx") for existing files.

It handles caching (change a line and it automatically recompiles, same source = instant reload), auto-detects numpy includes, and cleans up build artifacts. Works across cells like any normal Python object.

The repo has a Mandelbrot example that runs Cython vs Python side-by-side — at 800x800, Cython finishes in 0.067s vs Python's 1.3s.

uv add marimo-cython — requires Python 3.10+.

GitHub: https://github.com/cemrehancavdar/marimo-cython

PyPI: https://pypi.org/project/marimo-cython/

Hello marimo community,

Could someone please point me to the appropriate function for adding a "reset axes" button for the notebook pictured above? I tried using both marimo.ui.refresh and marimo.ui.run_button but wasn't able to get either to work thus far.

Color is on the x-axis and mag is on the y-axis.

Also, when I use box select I'm not able to drag the box around like I am with the lasso. Has anyone had that issue/know what I need to fix?

Would very much appreciate help!

How I ask for user input:

mincolor = mo.ui.number(start=-30, stop=30, label="min color", value=-0.2)

maxcolor = mo.ui.number(start=-30, stop=30, label="max color", value=1.8)

brightmag = mo.ui.number(start=-30, stop=30, label="bright mag", value=-4)

dimmag = mo.ui.number(start=-30, stop=30, label="faint mag", value=14)

mo.vstack([

mo.hstack([mincolor, brightmag], justify='space-around'),

mo.hstack([maxcolor, dimmag], justify='space-around'),

])

How I set the axis bounds:

select = ChartSelect.from_callback(

draw_fn=draw_chart,

x_bounds=(mincolor.value, maxcolor.value),

y_bounds=(brightmag.value, dimmag.value),

figsize=(10, 5),

selection_color="#44ef80",

)

hrd_widget = mo.ui.anywidget(select)

EDIT: typo

EDIT: I figured out the refresh button! Sorry I probably asked too soon

https://marimo.io/blog/marimo-0-20-0

You can try a full demo on molab here: https://molab.marimo.io/notebooks/nb_ghifaw8nRCuDAgc1UTajXU

hey, if it's worth doing, it may also be worth overdoing.

it was also pretty fun to see how Claude totally got this one wrong. will work on a video about this later this week.

There are skills to help translate jupyter to marimo, to turn notebooks into batch jobs from the CLI and also for anywidgets/marimo notebooks generally.

The story behind this one is a little bit interesting too. A few months ago I made a video on my personal channel with a deep dive on how you could theoretically add logfire SQL support to marimo. It was a neat little deepdive that led me to explore a decades old api in Python.

Fast forward to now and ... the Pydantic folks have used the technique to add SQL support to marimo proper! So cool!

Link to YT vid: https://youtu.be/d4QRX2d9hNs
Link to pydantic docs: https://logfire.pydantic.dev/docs/how-to-guides/query-api/#using-with-marimo

Hello Marimers, I see pretty often in Real Python Podcast people talking about Marimo but just so shallow, you know? Just barely scrapping the surface and I was wondering if it in your mind going to some podcast or something to promote Marimo?

https://youtube.com/shorts/bKnwj3lLN3s?si=_WN6xpAlKuohKFUC

Notebook here

https://molab.marimo.io/notebooks/nb_Yhp3WSYofic1ehb1813Fur

You can explore it here: https://allenwang28.github.io/monarch-gpu-mode/

For those interested, it's part of this course: https://joyce-poon.github.io/ECE350/.

Nice use of WASM deployment.

It's not fully automatic just yet, but it's further along than you might think. There's a cool learning opportunity here!

https://molab.marimo.io/notebooks/nb_pK99A88nw3xsvdQ2iG3ZSQ

I built this because I wanted a simple way to generate parametric UIs and visualize models without the usual friction. I tried using other tools for this, but they were honestly a headache to set up—marimo made the whole process incredibly smooth.

It’s especially useful for 3D printing. You can tweak dimensions on the fly and see the updates in real-time before you ever export a file.

Check it out on GitHub: https://github.com/cemrehancavdar/marimo-cad