made with marimo | marimo

🎓 Classes using marimo. See how educators across the world teach with marimo.
Get inspired by this curated gallery, made with marimo: the open-source reactive Python notebook.
Share your molab notebook on socials and tag us for a chance to be featured: X · LinkedIn · Bluesky · Reddit
Select points in embedded space to understand clusters better.
Art from a cellular automaton using matplotlib; inspired by Simone Conradi.
Watch a rainbow grid scramble and reassemble under Arnold's cat map, with editable matrices.
An interactive tool for portfolio analysis and investment calculations.
Blend single-country ETFs and compare their return against the FTSE All-World benchmark.
Explore Fashion MNIST in higher dimensions with interactive parallel coordinate brushing.
Interactive ODE solver with a draggable initial condition and direction field visualization.
Interactive 3D visualization of the Bak-Sneppen model of self-organized criticality.
Convert hand-drawn sketches into SVGs using deep learning and Bézier curve fitting.
How to run SQLite directly, and from within DuckDB, using marimo SQL cells.
Make a bookshelf, using sliders, with marimo-cad
Estimating the inverse of a matrix using thermodynamic principles with interactive visualizations.
A notebook that trains a tiny neural network with Andrej Karpathy's micrograd
Using eigenvectors of the Laplacian to cluster data where k-means fails.
Drawing graphs via eigenvectors of the graph Laplacian.
Recover signals from noisy measurements on graphs using the Laplacian as a regularizer.
Interactively explore a spectral decomposition with matrix widgets
Compress images in real time using a low-rank approximation via the SVD.
Interactive false-positive traps showing how feature attribution, probing, SAEs, and circuits 'find' structure in pure noise.
by Konstantin Taletskiy
Why diffusion models don't need noise conditioning, derived in closed form on a toy circles dataset.
A diffusion model attacks the 100-year-old inscribed square problem by drawing (CVPR 2026).
A paper explainer for 'Diverse Task Experts Are Dense Around Pretrained Weights' with interactive loss landscapes and a RandOpt implementation.
Explore nested clusters in Fashion MNIST using EVoC with interactive parallel coordinates and treemap views.
Draw a shape, place copies of it as a rule, and render the recursive fractal.
Visualize neural network loss landscapes in 3D; inspired by Ziming Liu.
An interactive simulation of the famous 100 prisoners probability puzzle.
Explore price differences across Lego themes and analyze price-per-piece patterns.
Interactive visualization for detecting bots in WoW player data using session length analysis.
A comparison of the GDPO and GRPO reinforcment learning algorithms.
Draw scatter data interactively and visualize it with Altair histograms.
Explore movie data interactively with a dashboard constructed with marimo UI elements.
Content-aware image resizing that preserves important features using dynamic programming.
Click and zoom into maps to explore and get coordinates back in Python.
Interactive simulation of federated learning with hospitals training local models and FedAvg aggregation.
Breaking a complex signal into the sum of simpler interpretable components.
Select data points on a scatter plot and get them back in Python.