I love seeing projects like this. When Pyiodide came out I was excited but it was a bit difficult to use, this looks and feels fantastic.

I really like Observable as well, but I've found it difficult to find robust and broad numerical libraries in javascript like what Python has.

I would love for this type of tool to redefine how we do science. It would be amazing if many scientific papers included both their data and the code in an interactive environment with zero installs and configuration. Plus when discussing a paper you could "fork" it and explore different analysis options live which for many fields would be totally feasible to do in the browser.

I feel like pytomls and shared source are becoming standard, but yes-

notebooks vs research code are sometimes very separate, very difficult to directly reproduce. A big difficultly with "working out of the box, shared in browser" is that weights, training, inference, simulations- are all still very compute intensive.

BUT the nice thing about a stateless notebook, is that you can precompute values- and cache them. I've been really excited about expanding marimo's caching system, and would love to get to a point whether sharing a notebook means being able to run the research yourself without some big setup dance.