Two different things share this hub. One is the scikit-learn shelf, where Rust has maintained general-purpose toolkits covering the classic algorithms.

The other is optimization, where Rust is already load-bearing under Python: CVXPY, the Python convex-modeling library, made clarabelclarabel · OptimizationLast shipped Jun 2025.version0.11.1downloads894k / 90dstars602licenseApache-2.0last commit2026-04-13published2025-06-11dependents22 owners · 1 repo Open clarabel in the catalogLast scraped on Sep 14, 2026 its default solver for linear and second-order cone programs, and depends on it outrightSource 1: cvxpy/cvxpy#2233.

A model trained in Python usually reaches Rust as an exported graph rather than as a reimplementation; see Model Inference & Runtimes.

  1. cvxpy/cvxpy#2233, 2023-09-24 — CVXPY's maintainers Back to reference 1 in the text