the numerical performance ecosystem in Python is historically more siloed than in Julia, due to reliance on C-like language for performance. Relative latecomers like Numba and Autograd(compare to NumPy) didn't get enough traction for it all to cohere nicely.

(I don't use Julia, but have done several evaluations for our hpc work)