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.colle...@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@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > -- Travis Oliphant CEO Continuum Analytics, Inc. http://www.continuum.io
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