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I know of, and have used f2py2e to wrap some old Fortran 77 code, but my understanding is that it does not work with newer Fortran 95 code. I've researched what I should use, and have come across fwrap and G3 f2py, neither of which seem to give any explanation of their current state, or how to use them. I have seen that the version of f2py has the option to use the third generation f2py, but it is commented as being non-functional. Given this, I don't know which project I should use. Which one should I use?

This question has now been cross-posted to (and answered at) Computational Science stack exchange site as Which package should I use to wrap Modern Fortran Code with Python?

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    maybe calling fortran libraries through ctypes would be an option? Commented May 19, 2012 at 14:29
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    f2py (as included in scipy) seems to claim to support Fortan95. Have you tried it? Commented May 19, 2012 at 17:02
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    You might also try asking on scicomp.stackexchange since there are a lot of people over there that work with Python and Fortran. Commented May 19, 2012 at 17:05
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    You might make progress by using modern Fortran's 'interoperability with C' features and making your compiled Fortran present a C-like interface to the outside world. Commented May 22, 2012 at 11:45
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    @JamesTocknell, it has been 8 years now, and I am curious of how this turned out. What path did you pick, and how did that turn out? Commented Mar 11, 2020 at 21:48

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I have used SWIG to wrap some C/C++ code before but they don't support Fortran. They link to the following, though

At least FortWrap states that they support Fortran95, but you might have to use FortWrap to get C/C++ wrappers and SWIG for the Python wrappers. f90wrap will automatically generate the Python wrappers based on the f90 sources (and supports derived types).

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I mentioned F2PY, and I'd much rather avoid SWIG. Also pyfortran is old code which probably won't work with numpy (it's designed for Numeric), and FortWrap is designed for C++, again lacking integration with numpy.
I just discovered f90wrap thanks to this answer. You saved my day!

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