bnavigator / scikit-sparse

Sparse matrix tools extending scipy.sparse, but with incompatible licenses

scikit-sparse

This scikit-sparse a companion to the scipy.sparse library for sparse matrix manipulation in Python. It provides routines that are not suitable for inclusion in scipy.sparse proper, usually because they are GPL'ed.

For more details on usage see the docs.

Installation

With pip

For pip installs of scikit-sparse depend on the suite-sparse library which can be installed via:

# mac
brew install suite-sparse

# debian
sudo apt-get install libsuitesparse-dev

Then, scikit-sparse can be installed via pip:

pip install scikit-sparse

With conda

The conda package comes with suite-sparse packaged as a dependency so all you need to do is:

conda install -c conda-forge scikit-sparse

License

The wrapper code contained in this package is released under a 2-clause BSD license, as per below. However, this applies only to the original code contained in this package, and NOT to the libraries (e.g., CHOLMOD) which it uses. These libraries are generally licensed under less permissive licenses, such as the GNU GPL or LGPL, and users of this package are responsible for determining what requirements these licenses impose on their usage. (The intent here is that if you, for example, buy a license to use CHOLMOD in a commercial product, then you can also go ahead and use our wrapper code with your commercial license.)

Copyright (c) 2009-2017, the scikit-sparse developers

scikits-sparse
Copyright (c) 2009-2017, the scikit-sparse developers
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:

- Redistributions of source code must retain the above copyright
  notice, this list of conditions and the following disclaimer.
- Redistributions in binary form must reproduce the above
  copyright notice, this list of conditions and the following
  disclaimer in the documentation and/or other materials
  provided with the distribution.

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