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.