They don’t compete since you could reimplement your compute kernels in Rust and use them directly or as (g)ufuncs with the numpy container, used by the whole sc

They don’t compete since you could reimplement your compute kernels in Rust and use them directly or as (g)ufuncs with the numpy container, used by the whole science and data stacks (visualization stats etc). Numpy compute APIs are for prototyping or compute which isn’t CPU bottleneck. So for the majority of numpy users Rust competes with the likes of Numba, Cython, etc, which are hard to beat if you’re already coding in Python.