I’ve moved away from concept of numpy-clone and decided to created something more type-safe and kotlinish. And the niche is currently occupied by koma. There is ongoing discussion in slack #mathematics and #science channels. Currently it is a common consensus that we should join efforts to support one common API and basic implementation for mathematics in kotlin. The repository is here: KEEP-math.
As for latest news. kmath now shows slightly better performance for large nd-structures than numpy. Of course it requires a lot of additional work. And even more work needed to bring together existing solutions. All contributions to the KEEP and kmath or koma are welcome.