Are there any notable intersections between the Singer/Meltano world and the Frictionless data world? I’m surprised at how little crossover I’ve been able to find through Google searches… for example if I wanted to use Frictionless’ Table Schema format to describe how to validate a set of data and then re-use that schema declaration in a Singer tap…there doesn’t seem to be any off the shelf way to export a json-schema from a frictionless table schema even though it’s largely based on json-schema…. do these two worlds just never mix at all?

I’ve never heard of it to be honest. The user base mentioned on their site points to the gap:

The Frictionless Data project has a very diverse audience, ranging from climate scientists, to humanities researchers, to government data centers

Whereas Singer/Meltano and the whole MDS has generally played more in areas unrelated to those domains (B2C, B2B, etc)

That makes sense. My team is working at an intersection right now where a government data center is trying to ingest frictionless-validated data streams and establish B2B analytics ecosystem on top of that…so maybe a pioneering intersection