An open-source AI-native Python notebook: reactive, git-friendly, execute as scripts, share as apps 🌐 github.com/marimo-team/marim… 💬 marimo.io/discord
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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.
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🧪 Less than 48 hours left in the OpenADMET × marimo cheminformatics notebook competition!
Turn a drug-discovery question into an interactive marimo notebook and compete for $2.5K+ in prizes, including a Mac mini M6.
Submit by October 4, 11:59 PM PT → marimo.io/pages/events/noteb…
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Introducing marimohub 🌊
Your team's notebooks. Your infrastructure.
An open-source platform to run and share marimo notebooks with your own compute, storage, and SSO. No separate database to operate.
Read @themylesfiles' announcement and get started: marimo.io/blog/introducing-m…
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marimohub is out, free and open source under Apache 2.0.
Watch Vincent's walkthrough:
piped.video/watch?v=1wnyt0JH…
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marimohub announcement closes our launch week. All announcements, in one place: marimo.io/blog/launch-week-2
Head over to our Reddit and Discord and let us know, what is the most useful for your workflow: pixi, fsspec, lens, studio or the hub?
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Studio gives you two layers: pick the notebook outputs and values each audience sees, then design the view with HTML, React, Svelte, or any frontend stack. Each view lives beside the notebook, with results wired to marimo cells.
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See one quadratic programming notebook become a lecture, an explainer, and a hands-on lab. The athletes notebook becomes an overview, linked-chart explorer, and 3D field view.
Read @peter_gyarmati's announcement: marimo.io/blog/introducing-m…
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Day 4 of our launch week. One more announcement lands tomorrow.
Catch up on everything here: marimo.io/blog/launch-week-2
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Introducing marimo-studio 🎬
One notebook, infinite views. Turn an analysis into a report, explorer, or 3D experience, all using the web framework you choose.
Every result stays backed by the reactive Python cells.
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Introducing marimo-lens 🔍
Point at a chart, mark a region, and tell your agent what to investigate or change.
Lens connects what you see to the code and data behind it. Your agent can point back, too.
Read blog, by @peter_gyarmati: marimo.io/blog/introducing-m…
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Your agent can point back, too.
Ask it to walk you through an analysis. Lens takes you from one output to the next, with a short explanation at each step. You move on when you’re ready.
See how the results fit together and decide what to investigate next.
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Today is day 3 of our launch week with even more exciting announcements coming tomorrow and on Friday!
Can you guess what’s coming next? See in our blog: marimo.io/blog/launch-week-2.
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marimo retweeted
Blogpost on remote storage in marimo is out!
∙Why we chose obstore and fsspec as our base protocols
∙Forking google drive fsspec
∙Two example notebooks for integrating with HuggingFace and GitHub as remote storages
marimo.io/blog/drive-storage 🫙
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You can now easily connect multiple remote storage types in marimo! If fsspec or obstore supports it, you can likely use it!
Learn how in our blog, by @ShahmirVarqha: marimo.io/blog/drive-storage
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If you are training a model, @huggingface can become your go-to remote connection for model and data storage.
And combining this with molab's RTX Pro 6000 GPUs it gives you everything you need to experiment with model training.
See example here: molab.marimo.io/notebooks/nb…
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Remote file storage is the second of five new features we're announcing this week, as part of our launch week!
Each day this week, we'll share something fun that the team has been cooking up.
We are only starting up, so follow along on what's next here: marimo.io/blog/launch-week-2.
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