Speaking personally, "intelligent execution that scales from small files to large files" sounds like marketing buzz that could mean absolutely nothing. I like that it mentions specifically switching between RAM and disk-powered engines, because that suggests it's not just marketing speak, but was actually engineered. Maybe P vs V Core is not the best way to market it, but I think it's worth mentioning that design.

It‘s interesting to research how capable applications like Lotus123 have been even on low resolutions like 800x600 pixel compared to today’s standard

I created Buckaroo to provide a better table viewing experience inside of notebooks. I also built a low code UI and auto cleaning to expedite the wrote data cleaning tasks that take up a large portion of data analysis. Autocleaning is heuristically powered - no LLMs, so it's fast and your data stays local. You can apply different autocleaning strategies and visually inspect the results. When you are happy with the cleaning, you can copy and paste the python code as a reusable function.

All of this is open source, and its extendable/customizable.

Here's a video walking through autocleaning and how to extend it https://youtu.be/A-GKVsqTLMI

Here's the repo: https://github.com/paddymul/buckaroo