Concerning numpy-MKL licence I refer to this question on the Intel Forum: http://software.intel.com/en-us/forums/topic/328344 "Question on Redistribution related to numpy/scipy"
In the case of numpy-MKL the MKL binaries are statically linked to the pyd-files. Given the usefulness, performance and robustness of the MKL-based binaries a definite answer to this question would be desirable. Say: "Can I use and re-redistribute a product with a precompiled numpy-MKL in a commercial enviroment without the need to by a Intel licence? Carl 2014-01-26 Dinesh Vadhia <[email protected]>: > This conversation gets discussed often with Numpy developers but since > the requirement for optimized Blas is pretty common these days, how about > distributing Numpy with OpenBlas by default? People who don't want > optimized BLAS or OpenBLAS can then edit the site.cfg file to add/remove. > I can never remember if Numpy comes with Atlas by default but either way, > if using MKL is not feasible because of its licensing issues then Numpy > has to be re-compiled with OpenBLAS (for example). Why not make it easier > for developers to use Numpy with an in-built optimized Blas. > > Btw, just in case some folks from Intel are listening: how about > releasing MKL binaries for all platforms for developers to do with it what > they want ie. free. You know it makes sense! > > > _______________________________________________ > NumPy-Discussion mailing list > [email protected] > http://mail.scipy.org/mailman/listinfo/numpy-discussion > >
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