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Smartcore

Smartcore is an open-source Rust machine-learning library offering algorithms and numerical-computing utilities through a Rust API. It covers classification, regression, clustering, preprocessing, model selection and evaluation, with CSV readers, dataset generators and optional built-in datasets.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Smartcore — OpenViST project profile in AI Models.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Smartcore when machine-learning algorithms need to be called from a Rust project, including experiments that move from data preparation to model fitting and evaluation.

Who it is for

  • Rust developers adding classification, regression or clustering to software.
  • Researchers and practitioners experimenting with machine-learning algorithms in Rust.
  • Teams needing model-selection, evaluation or numerical-computing components in Rust applications.

Documented uses

  • Fit a classifier or regressor and request predictions from Rust code.
  • Cluster observations or prepare data with encoders and common transforms.
  • Compare model parameters and evaluate models using documented utilities.
  • Read CSV data or generate sample datasets for experiments.
Before you choose

Requirements & limits

The repository is public and lists an Apache-2.0 license. The documented installation path is a Cargo dependency.

  • The library is implemented in Rust and is integrated as a project dependency, not used as a hosted model service.
  • The documented API includes linear models, tree ensembles, SVMs, nearest neighbours, Naive Bayes and clustering.
  • Datasets and serde are optional features; consult Cargo.toml for available features and compatibility notes.
  • The README describes WASM/WASI-oriented defaults but notes filesystem restrictions on some WebAssembly targets.
  • The project points to a companion Jupyter environment that uses EVCXR for local Rust notebooks.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Add Smartcore to a Cargo project

Declare Smartcore as a dependency in a Rust project.

Before you start

  • A Rust project managed with Cargo.

Steps

  1. Add smartcore = "^0.6" under [dependencies] in Cargo.toml.

  2. For the latest changes on the main branch instead, use the documented Git dependency with the repository URL and branch = "main".

Expected outcome

Cargo.toml declares Smartcore as a dependency; the project documentation provides API and usage material for the next stage.

Guide limitations

  • The README advises checking Cargo.toml for available features and compatibility notes.
  • The main-branch dependency tracks ongoing changes rather than the documented version constraint.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
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Sources checked
13 October 2026
Original website title
smartcorelib/smartcore · Official homepage title · retained in its source language
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