# vaaaaanquish/Awesome-Rust-MachineLearning

This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers, etc. 🦀

Repository: https://github.com/vaaaaanquish/Awesome-Rust-MachineLearning
Canonical: https://ross.abutalabs.com/products/awesome-rust-machinelearning
Homepage: https://vaaaaanquish.github.io/Awesome-Rust-MachineLearning/
Language: JavaScript
License: MIT
License Family: permissive
Topics: rust, machine-learning, machine-learning-library, rust-library, natural-language-processing, image-processing, deep-learning, awasome
Last push: 2023-09-25T15:36:33+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2017, "days_push": 1073, "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 2268, forks 127 (observed 2026-08-28T04:06:32.918127+00:00)

## What it is
A curated awesome-list of machine learning libraries, tools, blogs, books, and papers written in Rust. It is aimed at developers migrating from Python who want to find Rust alternatives for ML work.

## Use cases
- find rust machine learning libraries
- migrate from python to rust for ml
- discover rust deep learning frameworks
- compare rust ml ecosystem to sklearn
- find rust nlp and image processing crates
- learn what ml tooling exists in rust

## When to choose
- you want a curated directory of Rust ML resources with commentary
- you are evaluating Rust as a Python replacement for ML
- you need links to papers, blogs, and books alongside libraries

## When to avoid
- you need a working library rather than a list of links
- you need actively maintained recommendations only, since unmaintained projects are included
- you need ML resources for languages other than Rust

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, nlp, image-processing, developer-tools
- domain: machine-learning, deep-learning, awesome-lists, developer-tools
- platform: rust, cross-platform
- tags: awesome-list, curated-list, rust-ecosystem, resource-directory, natural-language-processing

## Member repositories
- vaaaaanquish/Awesome-Rust-MachineLearning (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:32.918127+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 2026-08-30T02:42:03.431728+00:00, confidence not recorded.
  - readme: https://github.com/vaaaaanquish/Awesome-Rust-MachineLearning (fetched 2026-08-28T04:06:32.918127+00:00, sha 41dfaf75809c)
  - homepage: https://vaaaaanquish.github.io/Awesome-Rust-MachineLearning/ (fetched 2026-08-29T10:22:46.728132+00:00, sha 37cfd743e650)
- Data as of 2026-08-30T08:39:29.467469+00:00.