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Yes, and having worked with Fortran code for years, we used the routines to calculate... and Python to analyze the data. A colleague even scrapped old Fortran routines in favor of Python + Numpy, as he could be more productive without a noticeable slowdown in his work, as the data analysis part was the bottleneck. So I reiterate my point: I like the project, I like the idea, but we need more information regarding the performance of the routines. Otherwise, using e.g. Python full-stack could be much less of a hassle.



NumPy is FORTRAN under the covers, e.g. BLAS IIRC.


BLAS are generally implemented in assembly these days, although they do have Fortran interfaces.


The important kernels (particularly GEMM) are written in assembler, but you can see OpenBLAS, for instance, importing netlib LAPACK.




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