# TheAlgorithms/Dart

All Algorithms implemented in Dart

Repository: https://github.com/TheAlgorithms/Dart
Canonical: https://ross.abutalabs.com/products/thealgorithms-dart
Language: Dart
License: MIT
License Family: permissive
Topics: hacktoberfest, dart, algorithms, data-structures
Last push: 2026-06-28T13:36:25+00:00

## Health v2 (maintenance only)
Score: 72/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 89, release rhythm 35, longevity 100
- inputs: {"age_days": 2613, "days_push": 66, "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 2146, forks 486 (observed 2026-08-28T04:06:18.741288+00:00)

## What it is
A collection of algorithms and data structures implemented in Dart for educational purposes. It covers classic algorithms like searching and sorting with explanations of their complexity properties.

## Use cases
- learn algorithms in Dart
- study data structures with Dart examples
- reference implementations of sorting algorithms
- understand binary search and linear search
- prepare for coding interviews with Dart
- find educational algorithm code snippets

## When to choose
- you are learning algorithms and prefer Dart
- you want readable reference implementations rather than production-optimized code
- you are contributing to open source or studying algorithm complexity

## When to avoid
- you need performant, production-ready algorithms (use Dart's standard library)
- you need algorithms in another language
- you need a maintained algorithm library as a dependency

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools
- domain: education, programming-languages
- platform: cross-platform
- tags: algorithms, data-structures, dart, educational, sorting, searching

## Member repositories
- TheAlgorithms/Dart (main) score 72

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:18.741288+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 2026-08-30T02:51:09.718201+00:00, confidence not recorded.
  - readme: https://github.com/TheAlgorithms/Dart (fetched 2026-08-28T04:06:18.741288+00:00, sha 89479e2280d1)
- Data as of 2026-08-30T08:39:29.467469+00:00.