# TheAlgorithms/Go

Algorithms and Data Structures implemented in Go for beginners, following best practices.

Repository: https://github.com/TheAlgorithms/Go
Canonical: https://ross.abutalabs.com/products/thealgorithms-go
Homepage: https://the-algorithms.com/language/go
Language: Go
License: MIT
License Family: permissive
Topics: algorithms, algorithms-implemented, data-structures, datastructures, sorting, search, interview, interview-preparation, preparation, community-driven, hacktoberfest
Last push: 2026-08-03T19:23:39+00:00

## Health v2 (maintenance only)
Score: 66/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 95, release rhythm 8, longevity 100
- inputs: {"age_days": 3665, "days_push": 30, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 18200, forks 2823 (observed 2026-08-28T04:11:26.432804+00:00)

## What it is
A community-driven collection of algorithms and data structures implemented in Go for educational purposes. It serves as a reference for learning algorithm implementations following Go best practices.

## Use cases
- learn algorithms in Go
- prepare for coding interviews
- study data structures with example code
- find reference implementations of sorting and searching algorithms
- contribute to an open-source algorithms project

## When to choose
- you are learning Go and want idiomatic algorithm examples
- you need readable reference implementations for study or teaching
- you are preparing for technical interviews

## When to avoid
- you need production-grade, performance-optimized algorithm libraries
- you want a maintained package with stability guarantees for production use

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools
- domain: education, tutorials
- platform: go
- tags: algorithms, data-structures, interview-preparation, sorting, searching, educational

## Member repositories
- TheAlgorithms/Go (main) score 66

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:26.432804+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 2026-08-29T17:02:07.324113+00:00, confidence not recorded.
  - readme: https://github.com/TheAlgorithms/Go (fetched 2026-08-28T04:11:26.432804+00:00, sha 8940ecc66c6f)
- Data as of 2026-08-30T08:39:29.467469+00:00.