I am all for faster tools, but I am curious as to your use case where the jq speed would be limiting. I only ever cleanup a maximum of a few megabytes at a time, where the jq response is close enough to instant that it has never been a concern.

I typically work with multi-gigabyte JSON and CSV files. I just did a quick test with yq and it's only about 30% faster than just using Python's csv and json libraries. Whereas the same thing is 1,200% faster with jq and xsv. It's just my use-case though, so YMMV.

I kind of suspected as much. But would still like to see some actual benchmarks.