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Seriously try Julia as others have recommended. It's the newest language for scientific computing; it is supposed to be as easy to write as Python but it has the ability to run as quickly as C++ or Fortran, https://julialang.org/
Could you go into more detail? If you're referring to https://github.com/FluidNumerics/SELF, I've just taken a look and it does seem like their documentation on how to build is lacking. Usually if that's the case, you can dig for whatever their CI configuration is and manually follow those steps, but it's not clear here: they have a mechanism to build Singularity containers (ci/run_tests) but everything else in ci seems unrelated. Their CONTRIBUTING.md is out of date and incomplete, and as you've already seen their build system (Makefile, install.sh, test.sh) is a total mess. Pretty much all modern scientific codes are using at least CMake now. (It's either that or hacked-up and hardcoded recursive make, rather than autoconf.)
I'm sad to not see Crystal recommended here.
There is actually a Fortran Package Manager that will hopefully make things easier in the future. It's quite new, so it might not be entirely mature yet.
