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Boost.python vs Cython for C++/python interface

Tags:

c++

python

cpython

binding

boost-python

I know this has been asked a thousand times, however i need to choose a library that can expose C++ functions and methods to python.

Considering my application, which mainly is a scientific (matrix) library, and python generator's matureness, support availability and performance, i have come across two options:

  • Cython
  • Boost.Python

I have eliminated (for good or bad reasons) others options like SWIG, SIP, Pybindgen, ...

Any advice regarding those 2 library ? Any of these which would have a killer feature ?

My project has namespaces, nested classes, callbacks, and the like.

Thanks

like image 442
Carmellose Avatar asked Oct 14 '13 08:10

Carmellose

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1 Answers

Considering my application, which mainly is a scientific

That pretty much means Cython. Cython was made almost specifically for that very purpose. There is a video on getting started with on from Enthought. Enthought is a company that specializes in scientific calculations.

Cython has a very good integration with Python that is unmatched by C++ or C (you would have to use #include <Python.h>).

like image 50
Games Brainiac Avatar answered Sep 22 '22 12:09

Games Brainiac
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