flame/blis
BLAS-like Library Instantiation Software Framework observed · 2026-10-14
Health v2 · maintenance only
67/100
- Activity 98
- Release rhythm 8
- Longevity 100
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 4654
- days_rel: 643
- days_push: 14
- n_releases_24m: 1
Adoption not part of the score
2693 stars · 435 forks observed · 2026-10-14
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
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
library · maturity stable
math performance developer-tools windows cpp c blas linear-algebra matrix-multiplication hpc dense-linear-algebra numerical-computing algorithms linux macos
1 source
- readme: https://github.com/flame/blis · fetched 2026-10-14 · 0d0e82774799
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| flame/blis | main | 67 |
For agents
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem