# scalanlp/breeze

Breeze is/was a numerical processing library for Scala.

Repository: https://github.com/scalanlp/breeze
Canonical: https://ross.abutalabs.com/products/breeze
Homepage: https://www.scalanlp.org
Language: Scala
License: Apache-2.0
License Family: permissive
Last push: 2025-10-04T22:40:06+00:00

## Health v2 (maintenance only)
Score: 52/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 45, release rhythm 35, longevity 100
- inputs: {"age_days": 6265, "days_push": 333, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3454, forks 690 (observed 2026-08-28T04:08:05.437185+00:00)

## What it is
Breeze is a numerical processing library for Scala providing linear algebra, optimization, and statistical functionality. It is now mostly retired, with the maintainer only reviewing bug fix PRs.

## Use cases
- do linear algebra in scala
- matrix and vector operations on the jvm
- numerical optimization in scala
- statistical distributions and sampling in scala
- plot data from scala
- scientific computing library for scala

## When to choose
- you have an existing Scala codebase needing numerical computing
- you need a mature, Apache-2.0 licensed linear algebra library on the JVM
- you only need bug fixes and stable behavior

## When to avoid
- you want an actively developed library with new features
- you are starting a new numerical computing project in Scala
- you need up-to-date documentation and community support

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, data-science, math, data-visualization
- domain: machine-learning, data-science
- platform: jvm
- tags: linear-algebra, numerical-computing, scala, scientific-computing, retired, algorithms

## Member repositories
- scalanlp/breeze (main) score 52

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:05.437185+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 2026-08-29T18:37:31.764472+00:00, confidence not recorded.
  - readme: https://github.com/scalanlp/breeze (fetched 2026-08-28T04:08:05.437185+00:00, sha a055dd295fcc)
- Data as of 2026-08-30T08:39:29.467469+00:00.
