OpenMathLib/OpenBLAS

Health v2 · maintenance only

Adoption not part of the score

7563 stars · 1716 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

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

library · maturity stable

math benchmarking performance data-science machine-learning windows cross-platform cpp c blas lapack linear-algebra numerical-computing simd-optimization algorithms linux macos

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markdown · JSON · MCP: product_card(name="OpenMathLib/OpenBLAS")