Funny you say that, because I built these tools because I wanted to build something very much like what you're describing!

I was trying to look at, filter, and transform large AI datasets, and I was frustrated with how bad the existing tool was for working with datasets with huge amounts of text (web scrapes, github dumps, reasoning tokens, agent chat logs). Jupyter notebook is woefully bad at helping you to look at your data.

So I wanted to build better browser tools for working with AI datasets. But to do that I had to build these tools (there was no working parquet implementation in JS when I started).

Anyway I'm still working on building an app for data processing using LLM chat assistant to help a single user curate entire datasets singlehandedly. But for now I'm releasing these components to the community as open source. And having them "do a single task each" was very much intentional. Thanks for the comment!