# DrTimothyAldenDavis/SuiteSparse

The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University.

Repository: https://github.com/DrTimothyAldenDavis/SuiteSparse
Canonical: https://ross.abutalabs.com/products/suitesparse
Homepage: https://people.engr.tamu.edu/davis/suitesparse.html
Language: C
License: NOASSERTION
License Family: other
Topics: sparse-matrix, mathematics, c, cpp, matlab, graph-algorithms, suitesparse, graphblas, cholmod, umfpack, spqr, colamd, csparse, klu
Last push: 2026-08-16T21:07:42+00:00

## Health v2 (maintenance only)
Score: 98/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 98, longevity 100
- inputs: {"age_days": 2510, "days_push": 17, "days_rel": 17, "gap_med": 18.5, "n_releases_24m": 15}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1541, forks 324 (observed 2026-08-28T04:05:00.569026+00:00)

## What it is
SuiteSparse is a collection of sparse matrix algorithm libraries written in C/C++, including factorization packages (UMFPACK, CHOLMOD, SPQR, KLU), ordering methods (AMD, COLAMD), GraphBLAS, and graph partitioning (Mongoose). It underpins sparse solvers in MATLAB and many scientific computing applications.

## Use cases
- solve large sparse linear systems
- sparse LU, Cholesky, and QR factorization
- graph algorithms via linear algebra with GraphBLAS
- sparse matrix ordering and permutation
- circuit simulation sparse solvers
- GPU-accelerated sparse factorization

## When to choose
- you need high-performance, well-tested sparse matrix factorizations in C/C++
- you want graph analytics expressed as sparse linear algebra
- you need solvers used by MATLAB, SciPy, and other scientific tools

## When to avoid
- you only need dense linear algebra (use BLAS/LAPACK instead)
- you want a high-level Python-first API (use SciPy or scikit-sparse wrappers)
- your matrices are small and dense

## Facets
- artifact type: library
- maturity: stable
- function: math, parser, machine-learning
- domain: mathematics, graph-processing, performance
- platform: windows, cpp, c, cross-platform
- tags: sparse-matrix, linear-algebra, graphblas, cholmod, umfpack, spqr, klu, graph-algorithms, cuda, matlab, algorithms, linux, macos

## Member repositories
- DrTimothyAldenDavis/SuiteSparse (main) score 98

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:00.569026+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:30:46.541522+00:00, confidence not recorded.
  - readme: https://github.com/DrTimothyAldenDavis/SuiteSparse (fetched 2026-08-28T04:05:00.569026+00:00, sha 1f8bdb9afd0b)
  - homepage: https://people.engr.tamu.edu/davis/suitesparse.html (fetched 2026-08-29T11:32:06.117500+00:00, sha eb193b7700ad)
- Data as of 2026-08-30T08:39:29.467469+00:00.