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version 0.2.3

Python interface to UMFPACK sparse direct solver.

People: Robert Cimrman



scikit-umfpack provides wrapper of UMFPACK sparse direct solver to SciPy.


`python >>> from scikits.umfpack import spsolve, splu >>> lu = splu(A) >>> x = spsolve(A, b) `

Installing scikits.umfpack also enables using UMFPACK solver via some of the scipy.sparse.linalg functions, for SciPy >= 0.14.0. Note you will need to have installed UMFPACK before hand. UMFPACK is parse of [SuiteSparse](


scikit-umfpack depends on NumPy, SciPy, SuiteSparse, and swig is a build-time dependency.

Building SuiteSparse

SuiteSparse may be available from your package manager or as a prebuilt shared library. If that is the case use that if possible. Installation on Ubuntu 14.04 can be achieved with

` sudo apt-get install libsuitesparse-dev `

Otherwise, you will need to build from source. Unfortunately, SuiteSparse's makefiles do not support building a shared library out of the box. You may find [Stefan Fxfcrtinger instructions helpful](

Furthmore, building METIS-4.0, an optional but important compile time dependency of SuiteSparse, has problems on newer GCCs. This [patch and instructions](\_\_log2) from Nadir Soualem are helpful for getting a working METIS build.

Otherwise, I commend you to the documentation.


This package uses distutils, which is the default way of installing python modules. In the directory scikit-umfpack (the same as the file you are reading now) do:

` python install `

or for a local installation:

` python install --root=<DIRECTORY> `



You can check the latest sources with the command:

` git clone `

or if you have write privileges:

` git clone `


After installation, you can launch the test suite from outside the source directory (you will need to have the nose package installed):

` nosetests -v scikits.umfpack `



You can download the latest distribution from PyPI here:

Using pip

You can install scikit-umfpack for yourself from the terminal by running:

pip install --user scikit-umfpack

If you want to install it for all users on your machine, do:

pip install scikit-umfpack
On Linux, do sudo pip install scikit-umfpack.

If you don't yet have the pip tool, you can get it following these instructions.

This package was discovered in PyPI.