Do you have a demo video? What are you using for processing (polars)? Marketing note: I'm sure you're proud of P Core/V Core, but that doesn't matter to your users, it's an implementation detail. At a maximum I'd write "intelligent execution that scales from small files to large files". As an implementation note, I would make it simple to operate on just the first 1000 (10k or 100k) rows so responses are super quick,…
Yes, Data.olllo uses including Polars under the hood for fast and efficient processing. A demo video is in the works and should be up soon.
Good point about the "P Core/V Core" naming—I'll simplify that to focus more on the user benefit, like scaling from small to large files smoothly.
I also like your idea of running transformations on a sample first with a one-click full run—very aligned with the vision. And subset reproduction for errors is a great suggestion, especially for things like deduping. Appreciate it!