I run it with uv and --sandboxed which makes it much easy to share notebooks with teammates and not have to worry about limiting dependencies. Any issues I've had were were Python libraries themselves (specifically graphviz).
I really like how much easier it is to reason about interactive components vs Jupyter. The mo.ui.altair_chart method has got me to migrate off of matplotlib because charts can be fully integrated – as you can see in the demo being able to lasso data points or scrub a chart and analyze specific time periods is awesome.
One thing which I don't like about reactive notebooks is that you have to be much more mindful of expensive and long running calculations. There are feature to help, like adding a run button, but often I end up just disabling auto-run which does reduce the value of the reactive flow. For those use cases I don't find myself using marimo over Jupyter.
I think the entire marimo team deserves a shoutout, the quality of the software is excellent, they've moved very quickly, and they have been very receptive to issues and feature suggestions.