marimo

marimo brings your data to life! Select points in a plot and get them back in Python, instantly, with reactive charts. In this data app, a reactive chart lets the user interactively explore the original images backing a 2D embedding of MNIST.

In the spirit of building in public, here's our first round of evals for our "Tab Tab" model we are training for @marimo_io notebooks. The task is fill in the middle, cursor-like code completion and cursor prediction. Looks like for this task Qwen > Llama, and we're already…

🌟 Spotlight on Giovanni Giacometti! From @Strava to stats — right in your browser. Authenticate (or mock) to fetch your runs, then dive into Polars‑powered summaries, weekly heatmaps and dynamic charts; 100% client‑side for full privacy. Try it live → giovannigiacometti.it/strava-marimo-…

Congratulations on the release, love Marimo: molab.marimo.io/notebooks/nb_j…

Build reactive, interactive, and reproducible Python apps from a single notebook — no boilerplate, no friction.

Reactive execution sets marimo apart from traditional notebooks. It keeps code and outputs in sync and prevents bugs before they happen. Our latest release includes an interactive minimap that helps you understand how data flows through your notebook.

observable-like minimap coming soon to a @marimo_io notebook near you 🫡 navigate and visualize the relationships between cells:

You can now copy this from the top-right dropdown

We're having our community call on August 16, 2025 from 10:30-11:30 AM PST. Join us as we discuss the latest updates, highlight community projects, and more! RSVP: lu.ma/ifs1nwzk

The ollama models that you can run on a laptop (7b-14b param range) are getting good! But if you want to benefit most and actually use them in a notebook, we do have some advice as well as some techniques to make the most out of these smaller LLms. youtu.be/NIBprn5cEZA

To show how to use the new debug flag I whipped a lil marimo notebook, mostly because @marimo_io has amazing youtube videos that made me want to explore! It can be found here: github.com/pytorch-labs/a…

molab is built on Modal Sandboxes! Our fast cold boots and support for dynamic image definitions make it easy for them to start notebooks quickly⚡️ Congrats on the launch!

I was historically a big Colab user. Now use Marimo daily from my local machine. So excited for this!

molab -- cloud Marimo notebooks, powered by Modal! and the demos include @weights_biases would you believe me if I said I wasn't involved in this one? i barely do

marimo offers a reactive environment for seamless reproduction and sharing! Enjoy auto cell updates and correct execution. Use the link below 👇 to discover how marimo’s features make it an ideal tool for documenting research and learning activities.

Beta tested molab this week and it’s absolutely marimo-nificent! 🎉 Finally, a Colab alternative that doesn’t make me miss Jupyter (because it’s marimo!) ☁️ RIP my local compute struggles, hello cloud paradise 💅 #marimo #molab #datascience #ML #python

the story was, in June, I was so excited about a "Marimo cloud" that I went to their office & we hacked together the first prototype of a Modal Sandbox backend for Marimo in a couple hours. just a month later, guess they have a whole new cloud-based product, still on Modal :D

Thanks for the example notebook (@reach_vb)! Inference through Hugging Face rocks molab.marimo.io/notebooks/nb_j…