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 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. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.