I've been developing Mito (https://trymito.io), a spreadsheet extension to JupyterLab that allows you to edit a spreadsheet in a notebook as if you're editing Excel. You edit the spreadsheet, and Python code gets generated that corresponds to your edits.
Feedback on the above greatly appreciated. And congrats on the release :)
One thing to look into is figuring out some logic of cancellation to clean up the generated code. Even if you just checked back one step it would mean less Foo_Bar['D'] = 0.
I think saving the analyses in the home directory is defeating the purpose. One appeal of a notebook is that you can break all the steps out and show them to someone, add commentary, etc.
I'd want to use it interactively to figure out how to get my data looking the way I want, and then show off how the analysis works by pulling out non-interactive Step widgets that visualize changes into their own cells.
That said, I'm often doing stuff with numpy so I need the notebook to document exactly what the dimensions mean, why I did a "clever" thing, etc.
Also, as long as "import mitosheet" is hitting your analytics APIs, it's going to set off alarm bells if we try to use it inside our VPN. The compliance people are not likely to look at what it's sending or why, they'll just ban it and move on.