[Numpy-discussion] Copyright status of NumPy binaries on Windows/OS X

[Travis Oliphant]

Only on Windows does free Anaconda link against the MKL.       But, you are
correct, that the MKL-linked binaries can only be re-distributed if the
person or entity doing the re-distribution has a valid MKL license from
Intel.

Microsoft has actually released their Visual Studio 2008 compiler stack so
that OpenBLAS and ATLAS could be compiled on Windows for these platforms as
well.   I would be very interested to see conda packages for these
libraries which should be pretty straightforward to build.

-Travis


On Wed, Oct 8, 2014 at 1:12 PM, Carl Kleffner <cmkleffner at gmail.com> wrote:

> Hi Travis,
>
> the Anaconda binaries (free packages as well as the non-free addons) link
> against Intel MKL - not against ATLAS. Are this binaries really free
> redistributable as stated?
>
> The lack of numpy/scipy 64bit windows binaries with opensource blas/lapack
> with was one of the main reasons to start with the development of a
> dedicated mingw-w64 based compiler toolchain to support OpenBLAS / ATLAS
> based binaries on windows.
>
> Cheers,
>
> carlkl
>
>
>
> 2014-10-08 1:32 GMT+02:00 Travis Oliphant <travis at continuum.io>:
>
>> Hey Andrew,
>>
>> You can use any of the binaries from Anaconda and redistribute them as
>> long as you "cite" Anaconda --- i.e. tell your users that they are using
>> Anaconda-derived binaries.     The Anaconda binaries link against ATLAS.
>>
>> The binaries are all at http://repo.continuum.io/pkgs/
>>
>> In case you weren't aware:
>>
>> Another way you can build and distribute an "application" is to build a
>> 'conda' meta-package which lists all the dependencies.   If you add to this
>> meta-package 1) an icon and 2) an entry-point, then your application will
>> automatically show up in the "Anaconda Launcher" (see this blog-post:
>> http://www.continuum.io/blog/new-launcher ) and anyone with the Anaconda
>> Launcher app can install/update your package by clicking on the icon next
>> to it.
>>
>> Users can also install your package with conda install or using the
>> conda-gui.
>>
>> Best,
>>
>> -Travis
>>
>>
>> On Mon, Oct 6, 2014 at 11:54 AM, Andrew Collette <
>> andrew.collette at gmail.com> wrote:
>>
>>> Hi all,
>>>
>>> I am working with the HDF Group on a new open-source viewer program
>>> for HDF5 files, powered by NumPy, h5py, and wxPython.  On Windows,
>>> since people don't typically have Python installed, we are looking to
>>> distribute the application using PyInstaller, which embeds
>>> dependencies like NumPy.  Likewise for OS X (using Py2App).
>>>
>>> We would like to make sure we don't accidentally include
>>> non-open-source components... I recall there was some discussion here
>>> about using the Intel math libraries for binary releases on various
>>> platforms.  Do the releases on SourceForge or PyPI use any proprietary
>>> code?  We'd like to avoid building NumPy ourselves if we can avoid it.
>>>
>>> Apologies if this is explained somewhere, but I couldn't find it.
>>>
>>> Thanks!
>>> Andrew Collette
>>> _______________________________________________
>>> NumPy-Discussion mailing list
>>> NumPy-Discussion at scipy.org
>>> http://mail.scipy.org/mailman/listinfo/numpy-discussion
>>>
>>
>>
>>
>> --
>>
>> Travis Oliphant
>> CEO
>> Continuum Analytics, Inc.
>> http://www.continuum.io
>>
>> _______________________________________________
>> NumPy-Discussion mailing list
>> NumPy-Discussion at scipy.org
>> http://mail.scipy.org/mailman/listinfo/numpy-discussion
>>
>>
>
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>


-- 

Travis Oliphant
CEO
Continuum Analytics, Inc.
http://www.continuum.io
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