This is 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.
NOTE: This library is solid and works well, but no longer actively developed. Please let us know if you wish to take over development.
So far it just contains a wrapper for the CHOLMOD library for sparse Cholesky decomposition. Further contributions are welcome!
For more details, including dependencies and installation instructions, see the docs.
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
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