marimo

An open-source AI-native Python notebook: reactive, git-friendly, execute as scripts, share as apps 🌐 💬

[marimo @marimo_io]

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.

[marimo @marimo_io]

https://t.co/o38I3YOso0

[marimo @marimo_io]

Day 3 of our "What can you do with a GPU on molab?" series: how long does it take to solve the Traveling Salesman Problem with 2-opt on a GPU? Hint: it's faster than you can say "500 cities in half a millisecond."
Video below ⬇️

[Weights & Biases @wandb]

The @nvidia Cosmos 3 spins synthetic manipulation episodes from a few prompts.

@CoreWeave fans them across 8 GPUs, fine-tunes the policy, serves it, and feeds the best results back in. W&B tracks every run w/ @marimo_io notebooks built in.

Repo below!
https://t.co/iP3lV9qUfD

[marimo @marimo_io]

Announcement blog: https://t.co/qXGJSmSSAQ

[marimo @marimo_io]

Join our waitlist: https://t.co/xNykdMHUEL

[marimo @marimo_io]

It's our first time hosting an event at #NYTechWeek.

📍Tomorrow, 1 PM EST.

Join @themylesfiles and @trevmanz as we chat through what we've been building lately, all with a side of ice cream.

Our event is at capacity, but our waitlist is open. RSVP in the comments ⬇️

[marimo @marimo_io]

@NumberNth Appreciate the concern but there's no risk of that! We're running on our own cluster. Use it!

[marimo @marimo_io]

https://t.co/PqrxXWJbv2

[marimo @marimo_io]

Day 2 of our "What can you do with a GPU on molab?" series: python widgets 🤝 stable diffusion. Draw, hit play, and the model reimagines it in real time, no matter how many prompt changes, region erasures, or random scatterings of pixels you throw at it.

Video below ⬇️

[gpt972394 @gpt972394]

woahh 🤓

[marimo @marimo_io]

There was an issue yesterday that prevented some users from accessing GPUs (sorry!). The issue has now been fixed. Attach a GPU from the resource configuration button in the app header.

[marimo @marimo_io]

Announcing a public preview of molab, our cloud-hosted marimo notebook workspace: now with GPUs! 🧵

https://t.co/8M0D047RTl

[Daniel Han @danielhanchen]

@UnslothAI @marimo_io @CoreWeave @NVIDIAAIDev Try online Molab with Unsloth Studio:
https://t.co/igKwL4Q7K8

[Daniel Han @danielhanchen]

We collaborated with our friends at Marimo to bring @UnslothAI Studio to Molabs with online GPUs!

Powered by 96GB NVIDIA RTX 6000 PROs via Coreweave's Cloud, large finetuning & inference runs can be run in 12 hour sessions! Notebooks at https://t.co/nRWADuDUxx

[marimo @marimo_io]

@S_Conradi Now imagine what you could render with GPUs!

https://t.co/qXGJSmSSAQ

[marimo @marimo_io]

Announcing a public preview of molab, our cloud-hosted marimo notebook workspace: now with GPUs! 🧵

https://t.co/8M0D047RTl

[Simone Conradi @S_Conradi]

Another one!
Made with #python #numpy #matplotlib and #marimo (and also #wigglystuff)

[marimo @marimo_io]

We’re making molab the best cloud-hosted development environment for AI, ML, and computational science, and we have a lot more planned. Stay tuned!

[marimo @marimo_io]

GPUs unlock new use cases. For example, get started with fine-tuning models with @UnslothAI's official molab notebooks:

https://t.co/fXGe9poHdA

[marimo @marimo_io]

Sharing is also improved across the board: mirror notebooks from GitHub, share as slides or apps, embed in webpages, and fork from our gallery.

Notebooks on molab are public but not discoverable by default, like GitHub Gists.