cff-version: 1.2.0
message: "If this software contributes to published work, please cite smartcore."
type: software
title: "smartcore: Machine Learning in Rust"
abstract: "smartcore is a comprehensive machine learning and numerical computing library for Rust, offering supervised and unsupervised algorithms, model evaluation tools, and linear algebra abstractions, with optional ndarray integration." [web:5][web:3]
repository-code: "https://github.com/smartcorelib/smartcore" [web:5]
url: "https://github.com/smartcorelib" [web:3]
license: "MIT" [web:13]
keywords:
  - Rust
  - machine learning
  - numerical computing
  - linear algebra
  - classification
  - regression
  - clustering
  - SVM
  - Random Forest
  - XGBoost [web:5]
authors:
  - name: "smartcore Developers" [web:7]
  - name: "Lorenzo (contributor)" [web:16]
  - name: "Community contributors" [web:7]
version: "0.4.2" [attached_file:1]
date-released: "2025-09-14" [attached_file:1]
preferred-citation:
  type: software
  title: "smartcore: Machine Learning in Rust"
  authors:
    - name: "smartcore Developers" [web:7]
  url: "https://github.com/smartcorelib" [web:3]
  repository-code: "https://github.com/smartcorelib/smartcore" [web:5]
  license: "MIT" [web:13]
references:
  - type: manual
    title: "smartcore Documentation"
    url: "https://docs.rs/smartcore" [web:5]
  - type: webpage
    title: "smartcore Homepage"
    url: "https://github.com/smartcorelib" [web:3]
notes: "For development features, see the docs.rs page and the repository README; SmartCore includes algorithms such as SVM, Random Forest, K-Means, PCA, DBSCAN, and XGBoost." [web:5]
