suite-sparse
brew install suite-sparse
v7.12.2
BSD-3-Clause AND LGPL-2.1-or-later AND GPL-2.0-or-later AND Apache-2.0 AND GPL-3.0-only AND (LGPL-3.0-or-later OR GPL-2.0-or-later)
C library suite for sparse matrix algorithms and decompositions.
Why you might care
Essential build dependency for scientific computing, numerical linear algebra, and optimization libraries. SuiteSparse provides highly optimized sparse matrix factorization (LU, QR, Cholesky) and graph algorithms used by MATLAB, Julia, and many Python scientific packages. Needed when building projects that depend on CHOLMOD, UMFPACK, or other modules.
3.3k
30-day installs · #762
11.3k
90-day · #769
60.8k
365-day · #582
Runtime dependencies
Build dependencies
Links
- https://people.engr.tamu.edu/davis/suitesparse.html
- Brew formula source: Formula/s/suite-sparse.rb
Blurb generated by claude-haiku-4-5 on today.
Raw metadata
{
"aliases": [
"suitesparse"
],
"alternatives": [
"PETSc",
"Trilinos",
"Eigen"
],
"build_dependencies": [
"cmake"
],
"categories": [
"library",
"scientific",
"math"
],
"caveats": null,
"conflicts_with": [],
"dependencies": [
"gcc",
"gmp",
"mpfr",
"libomp"
],
"deprecated": 0,
"deprecation_reason": null,
"desc": "Suite of Sparse Matrix Software",
"disable_reason": null,
"disabled": 0,
"enrichment_fetched_at": "2026-06-20T23:41:04+00:00",
"first_seen": "2026-06-20T23:34:18+00:00",
"full_name": "suite-sparse",
"github_default_branch": null,
"github_last_commit_at": null,
"github_readme_excerpt": null,
"github_repo": null,
"github_stars": null,
"github_topics": [],
"homepage": "https://people.engr.tamu.edu/davis/suitesparse.html",
"homepage_og_description": null,
"homepage_og_image": null,
"homepage_title": "suitesparse : a suite of sparse matrix software",
"installs_30d": 3346,
"installs_365d": 60806,
"installs_90d": 11251,
"keg_only": 0,
"keg_only_reason": null,
"last_seen": "2026-06-20T23:34:18+00:00",
"license": "BSD-3-Clause AND LGPL-2.1-or-later AND GPL-2.0-or-later AND Apache-2.0 AND GPL-3.0-only AND (LGPL-3.0-or-later OR GPL-2.0-or-later)",
"llm_generated_at": "2026-06-20T23:46:54+00:00",
"llm_model": "claude-haiku-4-5",
"name": "suite-sparse",
"oldnames": [],
"one_liner": "C library suite for sparse matrix algorithms and decompositions.",
"optional_dependencies": [],
"rank_30d": 762,
"rank_365d": 582,
"rank_90d": 769,
"raw_hash": "c045895086430a98",
"recommended_dependencies": [],
"revision": 0,
"ruby_source_path": "Formula/s/suite-sparse.rb",
"tap": "homebrew/core",
"test_dependencies": [],
"uses_from_macos": [],
"version_head": null,
"version_stable": "7.12.2",
"versioned_formulae": [],
"why_use_this": "Essential build dependency for scientific computing, numerical linear algebra, and optimization libraries. SuiteSparse provides highly optimized sparse matrix factorization (LU, QR, Cholesky) and graph algorithms used by MATLAB, Julia, and many Python scientific packages. Needed when building projects that depend on CHOLMOD, UMFPACK, or other modules."
}