I'm the maintainer of human-learn. While I cannot speak on behalf of the maintainer of DataQA, but it does seem like this tool is more specific to the entity detection use-case. I imagine it has better support for tools that deal with text.

Human-Learn, on the other hand, is more focussed on tabular data and the scikit-learn stack. Since scikit-learn doesn't have a convenient pipeline for entity detection, I would certainly recommend exploring other tools than human-learn for this use-case.

I've not used DataQA before, but figured it'd be relevant to share my input.

Thanks for sharing! It looks very interesting. From a brief check, they do not seem to be UI-based like dataqa (although you can use it in a notebook), they do not offer a search engine and they are probably one level of abstraction below dataqa. You can do some of the stuff dataqa does but would need to code. Some of the rules offered by dataqa rely on complex operations with regular expressions, and are not so easy to program yourself.