# sarah-quinones/faer-rs

Linear algebra foundation for the Rust programming language

Repository: https://github.com/sarah-quinones/faer-rs
Canonical: https://ross.abutalabs.com/products/faer-rs
Homepage: https://faer-rs.github.io
Language: Rust
License: MIT
License Family: permissive
Topics: linear-algebra, matrix, rust
Last push: 2026-06-24T20:48:06+00:00

## Health v2 (maintenance only)
Score: 81/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 89, release rhythm 59, longevity 100
- inputs: {"age_days": 1542, "days_push": 70, "days_rel": 63, "gap_med": null, "n_releases_24m": 1}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2563, forks 102 (observed 2026-08-28T04:07:01.047078+00:00)

## What it is
faer is a pure Rust linear algebra library providing low-level routines and a high-level ergonomic wrapper for dense matrix computations. It focuses on portability, correctness, and performance, with published benchmarks.

## Use cases
- perform matrix decompositions in Rust
- solve linear systems of equations
- do linear algebra without BLAS/LAPACK dependencies
- fast dense matrix multiplication in Rust
- build scientific or ML code needing matrix math in Rust

## When to choose
- you need a pure-Rust, dependency-light linear algebra library
- performance and correctness in dense linear algebra matter
- you want an ergonomic high-level API over low-level routines

## When to avoid
- you need sparse matrix support or features outside its scope
- you're locked into an existing BLAS/LAPACK ecosystem
- you need a mature multi-decade library like NumPy/Eigen equivalents

## Facets
- artifact type: library
- maturity: active
- function: math
- domain: machine-learning, developer-tools
- platform: rust, cross-platform
- tags: linear-algebra, matrix, numerical-computing, pure-rust, dense-matrices, algorithms

## Member repositories
- sarah-quinones/faer-rs (main) score 81

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:01.047078+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 2026-08-30T02:23:29.161951+00:00, confidence not recorded.
  - readme: https://github.com/sarah-quinones/faer-rs (fetched 2026-08-28T04:07:01.047078+00:00, sha 9d4408740dff)
  - homepage: https://faer-rs.github.io (fetched 2026-08-29T10:06:22.222404+00:00, sha 7263dd20b224)
  - site_page: https://faer.veganb.tw/docs/getting-started/introduction (fetched 2026-08-29T10:06:22.231353+00:00, sha 3bd5086c01ed)
  - site_page: https://faer.veganb.tw/docs/contributing/code-of-conduct (fetched 2026-08-29T10:06:22.233161+00:00, sha bb1e9a77e3c8)
- Data as of 2026-08-30T08:39:29.467469+00:00.