[Numpy-discussion] Copyright status of NumPy binaries on Windows/OS X
cmkleffner at gmail.com
Wed Oct 8 14:12:32 EDT 2014
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.
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
> 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.
>> Andrew Collette
>> NumPy-Discussion mailing list
>> NumPy-Discussion at scipy.org
> Travis Oliphant
> Continuum Analytics, Inc.
> NumPy-Discussion mailing list
> NumPy-Discussion at scipy.org
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