# OpenMathLib/OpenBLAS

OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.

Repository: https://github.com/OpenMathLib/OpenBLAS
Canonical: https://ross.abutalabs.com/products/openblas
Homepage: http://www.openblas.net
Language: C
License: BSD-3-Clause
License Family: permissive
Topics: blas, lapack, lapacke
Last push: 2026-08-26T19:40:41+00:00

## Health v2 (maintenance only)
Score: 93/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 81, longevity 100
- inputs: {"age_days": 5700, "days_push": 7, "days_rel": 48, "gap_med": 84, "n_releases_24m": 6}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 7563, forks 1716 (observed 2026-08-28T04:10:01.653035+00:00)

## What it is
OpenBLAS is an optimized open-source implementation of the BLAS (Basic Linear Algebra Subprograms) library, based on GotoBLAS2, with LAPACK included. It provides fast, hand-tuned linear algebra kernels for many CPU architectures.

## Use cases
- speed up matrix multiplication in scientific computing
- fast linear algebra backend for numpy or scipy
- optimized BLAS routines for machine learning workloads
- solve linear systems and eigenvalue problems with LAPACK
- build numerical applications needing tuned kernels per CPU architecture

## When to choose
- you need a fast, free BLAS/LAPACK implementation across many platforms and CPU architectures
- you want a drop-in replacement for reference netlib BLAS with much better performance
- you are building numerical, scientific, or ML software that depends on BLAS

## When to avoid
- you need GPU-accelerated linear algebra (consider cuBLAS or similar)
- you only need simple matrix math without performance tuning (a higher-level library may suffice)
- you need a pure high-level API rather than low-level BLAS/LAPACK routines

## Facets
- artifact type: library
- maturity: stable
- function: math, benchmarking
- domain: performance, data-science, machine-learning
- platform: windows, cross-platform, cpp, c
- tags: blas, lapack, linear-algebra, numerical-computing, simd-optimization, algorithms, linux, macos

## Member repositories
- OpenMathLib/OpenBLAS (main) score 93

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:01.653035+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 2026-08-29T17:37:22.200288+00:00, confidence not recorded.
  - readme: https://github.com/OpenMathLib/OpenBLAS (fetched 2026-08-28T04:10:01.653035+00:00, sha cf50391a3347)
  - homepage: http://www.openblas.net (fetched 2026-08-29T08:32:19.705456+00:00, sha ad989afff5ec)
- Data as of 2026-08-30T08:39:29.467469+00:00.