ML Rust catalogue
Menu

All jobs

Tabular data and classic ML

Find patterns and make predictions from spreadsheet-style data.

36 projects. Checked .

Start here

The Featured projects with the most downloads.

All projects

Order: strongest tier first, then most downloads, then name, with unmeasured values last. A library counts downloads over 30 days. An app counts binary downloads per release. An app with none counts its crate downloads over 30 days.

What do the tiers mean?
Featured
Shown first. It passes every Featured gate.
Listed
Shown in the normal listing. No other tier applies.
New
A project whose first release is recent.
Archived
No longer maintained, or ended by its author.

Tiers come from published rules over raw signals. Stars alone never qualify a project.

Active dependents: crates from other owners that depend on this project in a current release. One owner counts at most once.

Movement needs more history.

ProjectDownloadsDependentsStarsLatest releaseRuns on (GPU)Native codeLicense
linfa Featured

A Machine Learning framework for Rust

 60 4,770 0.8.1 Apache-2.0 OR MIT
smartcore Featured

Machine Learning in Rust.

 33 976 0.7.0 Apache-2.0
Listed 31 projects
linregress Listed

ordinary least squared linear regression with some basic statistics

 11 24 0.5.4 MIT
hdbscan Listed

HDBSCAN clustering in pure Rust. A huge improvement on DBSCAN, capable of identifying clusters of varying densities.

 4 41 0.12.0 Apache-2.0 OR MIT
kodama Listed Dormant

Agglomerative hierarchical clustering.

 16 106 0.3.0 MIT
leiden-rs Listed

High-performance Leiden community detection algorithm for graphs in Rust

 10 Not measured 0.8.1 Apache-2.0 OR MIT
kmeans_colors Listed Dormant

Simple k-means clustering to find dominant colors in images. Backed by a generic k-means implementation offered as a standalone library.

 13 174 0.7.1 Apache-2.0 OR MIT
aprender Listed

Next-generation ML framework in pure Rust — `cargo install aprender` for the `apr` CLI

 31 140 0.72.3 CUDA, WebGPU MIT
bhtsne Listed

Exact and Barnes-Hut implementations of t-SNE.

 2 95 0.7.13 MIT
petal-clustering Listed

A collection of clustering algorithms.

 3 46 0.14.0 Apache-2.0
anofox-regression Listed

A robust statistics library for regression analysis

 6 8 0.12.2 MIT
augurs Listed

A time-series toolkit for forecasting, outlier detection, clustering and more.

 8 580 0.10.3 Apache-2.0 OR MIT
gbdt-rs Listed Dormant

A implementation of Gradient Boosting Regression Tree in Rust programming language

 5 225 0.1.3 Apache-2.0
perpetual Listed

A self-generalizing gradient boosting machine that doesn't need hyperparameter optimization

 1 717 2.3.0 Apache-2.0
fa-leiden-cd Listed Dormant

A Rust implementation of the Leiden algorithm for community detection in large networks.

 1 1 0.1.0 MIT
clustering Listed

easy way to perform kmeans clustering on arbitrary data

 3 6 0.2.2 MIT
ffsvm Listed Dormant

A libSVM compatible support vector machine, but up to 10x faster, for games or VR.

 1 79 0.12.0 MIT
radiate Listed

A Rust library for genetic algorithms and artificial evolution.

Python bindings

 0 257 1.3.2 MIT
liblinear-rs Listed Dormant

Rust bindings for the liblinear C++ library

 1 10 1.0.0 MIT
annembed Listed

a Rust implementation of a dimension reduction à la Umap

Python bindings

 4 45 0.1.6 Apache-2.0 OR MIT
rustlearn Listed Dormant

A machine learning package for Rust.

 2 647 0.5.0 Apache-2.0
genevo Listed Dormant

genevo provides building blocks to run simulations of optimization and search problems using genetic algorithms (GA). Execute genetic algorithm (GA) simulations in a customizable and extensible way.

 1 185 0.7.1 Apache-2.0 OR MIT
rust-automl Listed

Automated machine learning for classification and regression

 1 39 0.3.1 Apache-2.0 OR MIT
rust-xgboost Listed Dormant

Machine learning using XGBoost

 1 122 0.1.4 MIT
oxigen Listed Dormant

Fast, parallel, extensible and adaptable genetic algorithm library.

 0 183 2.2.2 MPL-2.0
egobox Listed

A python binding for egobox crates

Python bindings

 2 194 1.0.1 Apache-2.0
treeboost Listed

Gradient-boosted decision trees for tabular data: trains a baseline model in one call, with full control over boosting modes and configs, and Scalar, AVX-512, SVE2, WGPU and CUDA backends.

Python bindings

 0 9 0.1.2 CUDA, WebGPU Apache-2.0
darwin-rs Listed Dormant

Evolutionary algorithms library written in Rust.

 0 129 0.4.0 MIT
gap_statistic App Listed Dormant

Dynamically get the suggested clusters in the data for unsupervised learning.

 Not applicable 230 Not measured Not measured Unlicense
revonet Listed Dormant

Rust implementation of real-coded genetic algorithm for solving optimization problems and training of neural networks. The latter is also known as neuroevolution.

 0 20 0.2.1 GPL-3.0
rusticsom Listed Dormant

Rust library for Self Organising Maps (SOM).

 0 36 1.1.1 MIT
fwumious_wabbit App Listed Dormant

Fwumious Wabbit, fast on-line machine learning toolkit written in Rust

 Not applicable 141 Not measured Not measured Not measured
propagon App Listed

Fast, large scale library for computing rankings and features based on various pairwise and graph algorithms

 Not measured Not applicable 10 Not measured Not measured Not measured Apache-2.0
Archived 3 projects
rusty-machine Archived

A machine learning library.

 5 1,264 0.5.4 MIT
rsgenetic Archived

A library providing genetic algorithm execution.

 0 77 1.8.1 Apache-2.0 OR MIT
craftml-rs App Archived

A Rust🦀 implementation of CRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label Learning

 Not measured Not applicable 15 Not measured Not measured Not measured MIT