Skip to main content
Yanked

This release has been yanked by its maintainers, and will be ignored by installers, except when explicitly specified.
Reason given by maintainers: Deprecated

Latest GitHub release Latest PyPI release Latest conda-forge release CI Status https://readthedocs.org/projects/scikit-sparse-dev/badge/?version=latest

Scikit-Sparse (sksparse)

NOTE:

This is the README for the development version of scikit-sparse. For the stable version, see the GitHub repository, and the stable docs.

The scikit-sparse package is a companion to the scipy.sparse package for sparse matrix manipulation in Python. It provides routines that are not suitable for inclusion in scipy.sparse proper, typically because they depend on external libraries with GPL licenses, such as SuiteSparse.

For more details on usage see the docs.

Requirements

Installing scikit-sparse requires:

Older versions may work but are untested.

Installation

Installing SuiteSparse

To install scikit-sparse, you need to have the SuiteSparse library installed on your system.

It is recommended that you install SuiteSparse and the scikit-sparse dependencies in a virtual environment, to avoid conflicts with other packages. We recommend using Anaconda:

$ conda create -n scikit-sparse python>=3.10 suitesparse
$ conda activate scikit-sparse

If you are not using Anaconda, you can install SuiteSparse using your preferred package manager.

On MacOS, you can use Homebrew:

$ brew install suite-sparse

On Debian/Ubuntu systems, use the following command:

$ sudo apt-get install python-scipy libsuitesparse-dev

On Arch Linux, run:

$ sudo pacman -S suitesparse

Installing Scikit-Sparse

Once you have SuiteSparse installed, you can install scikit-sparse with:

$ conda install -c conda-forge scikit-sparse-dev

or if you prefer to use pip, you can install it with:

$ pip install scikit-sparse-dev

Check if the installation was successful by running the following command:

$ python -c "import sksparse; print(sksparse.__version__)"

See Troubleshooting for more information on determining which SuiteSparse library is being used.


Copyright © 2009–2025, the scikit-sparse developers.

Metadata

Release files for scikit-sparse-dev 0.5.0.dev1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for scikit-sparse-dev 0.5.0.dev1
File Size Uploaded
scikit_sparse_dev-0.5.0.dev1.tar.gz 1.2 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for scikit-sparse-dev 0.5.0.dev1
File Interpreter ABI Platform
scikit_sparse_dev-0.5.0.dev1-cp313-cp313-macosx_11_0_arm64.whl CPython 3.13 CPython 3.13 macOS 11.0+ ARM64 Details

Total release size: 1.8 MB

Release files / scikit_sparse_dev-0.5.0.dev1.tar.gz

Download URL scikit_sparse_dev-0.5.0.dev1.tar.gz
Size 1.2 MB
Tags Source
SHA-256 checksum
How to use checksums
071691e5d72e2995b213b39495f99fce334bc318d48e3f464a99b738b5b5ab12
BLAKE2b-256 checksum
How to use checksums
123ab1226f5eb32ff4c91a48590fb1801de33eba1f18138c398a0c0a8b19692c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.13.5

Release files / scikit_sparse_dev-0.5.0.dev1-cp313-cp313-macosx_11_0_arm64.whl

Download URL scikit_sparse_dev-0.5.0.dev1-cp313-cp313-macosx_11_0_arm64.whl
Size 592.5 kB
Tags CPython 3.13 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
9b1313e209318b89e1fe41c8ca0de2cd7550050c0c9f514673f8c4c9030f45d7
BLAKE2b-256 checksum
How to use checksums
6cfce57af5478c737551d41b8e11bca9e929fdbeb26d54e1efd28093b61225b9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.13.5

Release history Release notifications | RSS feed

This release

0.5.0.dev1 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page