# flame/blis

BLAS-like Library Instantiation Software Framework

Repository: https://github.com/flame/blis
Canonical: https://ross.abutalabs.com/products/blis
Language: C
License: NOASSERTION
License Family: other
Topics: blis, blas, blas-libraries, linear-algebra, linear-algebra-library, matrix-multiplication, matrix-calculations, matrix-library, matrix-functions, high-performance, high-performance-computing, hpc, matrix, optimization
Last push: 2026-07-10T14:51:59+00:00

## Health v2 (maintenance only)
Score: 64/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 91, release rhythm 8, longevity 100
- inputs: {"age_days": 4606, "days_push": 54, "days_rel": 595, "gap_med": null, "n_releases_24m": 1}
- 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 2677, forks 427 (observed 2026-08-28T04:07:09.835232+00:00)

## What it is
BLIS is a portable C99 framework for instantiating high-performance BLAS-like dense linear algebra libraries. It provides a BLAS compatibility layer plus its own typed and object-based APIs, with optimized kernels for matrix operations.

## Use cases
- fast matrix multiplication in C or Fortran applications
- drop-in BLAS replacement for numerical code
- building high-performance linear algebra libraries
- optimizing dense linear algebra kernels for specific CPUs
- accelerating scientific computing and machine learning workloads

## When to choose
- you need a portable, high-performance BLAS implementation
- you want to optimize a few kernels and get full BLAS-like functionality
- you need a BSD-licensed BLAS alternative
- you target HPC or CPU-specific performance tuning

## When to avoid
- you need sparse linear algebra rather than dense operations
- you want GPU-accelerated BLAS out of the box
- you need a higher-level numerical library like NumPy or LAPACK features

## Facets
- artifact type: library
- maturity: stable
- function: math
- domain: performance, developer-tools
- platform: windows, cpp, c
- tags: blas, linear-algebra, matrix-multiplication, hpc, dense-linear-algebra, numerical-computing, algorithms, linux, macos

## Member repositories
- flame/blis (main) score 64

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:09.835232+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 2026-08-30T02:18:00.161977+00:00, confidence not recorded.
  - readme: https://github.com/flame/blis (fetched 2026-08-28T04:07:09.835232+00:00, sha 0d0e82774799)
- Data as of 2026-08-30T08:39:29.467469+00:00.