# TheAlgorithms/Rust

All Algorithms implemented in Rust

Repository: https://github.com/TheAlgorithms/Rust
Canonical: https://ross.abutalabs.com/products/thealgorithms-rust
Language: Rust
License: MIT
License Family: permissive
Topics: rust, algorithms, data-structures, rust-lang, hacktoberfest
Last push: 2026-08-03T16:54:18+00:00

## Health v2 (maintenance only)
Score: 75/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 95, release rhythm 35, longevity 100
- inputs: {"age_days": 2911, "days_push": 30, "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 26018, forks 2590 (observed 2026-08-28T04:11:38.820183+00:00)

## What it is
A curated collection of algorithms and data structures implemented in Rust for educational purposes. It is part of TheAlgorithms project and serves as a reference for learning algorithm implementations in the Rust language.

## Use cases
- learn how classic algorithms are implemented in rust
- study data structures with rust examples
- reference implementations of sorting and searching algorithms
- prepare for coding interviews with rust
- contribute to an open-source algorithms project
- compare algorithm implementations across languages

## When to choose
- you want readable, educational Rust implementations of common algorithms
- you are learning Rust and want real code examples
- you need a reference for algorithms and data structures

## When to avoid
- you need production-grade, optimized algorithm libraries
- you want a published crate with a stable API
- you need battle-tested data structures for a real application

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools
- domain: education, programming-languages
- platform: rust
- tags: algorithms, data-structures, educational, rust-lang, hacktoberfest

## Member repositories
- TheAlgorithms/Rust (main) score 75

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:38.820183+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 2026-08-29T16:55:56.233586+00:00, confidence not recorded.
  - readme: https://github.com/TheAlgorithms/Rust (fetched 2026-08-28T04:11:38.820183+00:00, sha d2dade85c63b)
- Data as of 2026-08-30T08:39:29.467469+00:00.