[hamilton]

(disclaimer: I work on Iodide)

+1 - this is the right attitude to have! If you have a productive data science team, you should continue to use the tools you have - we'd be the first to tell you that. Re: the JS thing, we've found through user testing and our own experience as data scientists that folks don't really want to use JS for anything, and we want to meet some segment of data scientists where they are. As explained in the post, JS as a language and ecosystem isn't quite there in the way that it needs to be. In a few years, it may be, if you follow along w/ the various TC39 proposals out there.

To clarify, we do have support for Python / NumPy / Pandas / Matplotlib / others with Pyodide, which is natively supported in Iodide with the `%% py` delimiter. It doesn't address all the other workflow issues you have, of course, and there are some differences b/t a server kernel and what we have.