# EbTech/rust-algorithms

Common data structures and algorithms in Rust

Repository: https://github.com/EbTech/rust-algorithms
Canonical: https://ross.abutalabs.com/products/rust-algorithms
Language: Rust
License: MIT
License Family: permissive
Topics: algorithm, rust, competition-programmers, algorithms, codeforces, data-structures, learn, education, cookbook, programming-contests
Last push: 2025-02-27T20:24:02+00:00

## Health v2 (maintenance only)
Score: 36/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 8, release rhythm 35, longevity 100
- inputs: {"age_days": 3396, "days_push": 552, "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 3981, forks 233 (observed 2026-08-28T04:08:31.671335+00:00)

## What it is
A collection of classic data structures and algorithms implemented in Rust, published as the contest-algorithms crate. It is designed as a whitebox cookbook for students, educators, and competitive programmers rather than a general-purpose blackbox library.

## Use cases
- learn classic algorithms with readable Rust implementations
- prepare a code reference for competitive programming contests
- study how Rust's type system and ownership model structure algorithm code
- find contest-ready data structures for Codeforces or AtCoder
- teach algorithms with concrete, simple implementations

## When to choose
- you want clear, concise, modifiable algorithm code for contests
- you prefer Rust over C++/Java for competitive programming
- you are learning or teaching algorithms and want readable implementations

## When to avoid
- you need a production-grade, fully general algorithms library
- you need battle-tested data structures with extensive APIs and guarantees
- you don't use Rust

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools
- domain: education, programming-languages
- platform: rust, cli
- tags: competitive-programming, data-structures, cookbook, codeforces, rust, algorithms

## Member repositories
- EbTech/rust-algorithms (main) score 36

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:31.671335+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 2026-08-29T18:24:16.282122+00:00, confidence not recorded.
  - readme: https://github.com/EbTech/rust-algorithms (fetched 2026-08-28T04:08:31.671335+00:00, sha a3658135d47e)
- Data as of 2026-08-30T08:39:29.467469+00:00.