Very cool. A GUI pandas. As a seasoned user of pandas, the way it works seems clear. I get the potential appeal of a no-code solution like this: "Glue is to pandas as Airtable is to relational databases."
The question in my mind: how many users are there that want to build these kinds of data transformation pipelines that are also unwilling to learn Python/pandas (or R, or some other equivalent)? Because once you need to build a custom lambda, or do something downstream of the transformation, like a custom data visualization, you need to know how to write code.
Which I think gets to the heart of the matter: this replaces the easy part of data science. The hard parts are things like understanding what the columns really are, cleaning up messy data, and doing statistical modeling that yields valid insights.
I think open-sourcing it is a good idea. I can see how this could be added to a more complete software ecosystem that is designed to be used by non-coders, like an in-house ELN for a biotech. But as a paid project, I'm almost surely not going to ever give it a try.