# 0xAX/go-algorithms

Algorithms and data structures for golang

Repository: https://github.com/0xAX/go-algorithms
Canonical: https://ross.abutalabs.com/products/go-algorithms
Language: Go
License Family: other
Topics: golang, algorithm, data-structures, go, sort, tree-structure, hacktoberfest
Last push: 2023-10-03T18:45:02+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4456, "days_push": 1065, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1950, forks 346 (observed 2026-08-28T04:05:58.161776+00:00)

## What it is
A collection of classic algorithms and data structures implemented in Go, including sorting, searching, collections, and numerical algorithms. It serves primarily as an educational reference rather than a production library.

## Use cases
- learn sorting algorithms in go
- go implementation of binary search
- study data structures like linked lists and binary trees
- reference for quicksort and merge sort in golang
- prepare for coding interviews with go examples

## When to choose
- you want readable Go examples of classic algorithms for learning or teaching
- you need reference implementations to compare against your own code

## When to avoid
- you need a production-grade, well-tested algorithm library with semver releases
- you need algorithms not covered here like graphs with weighted edges or advanced structures

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

## Member repositories
- 0xAX/go-algorithms (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:58.161776+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 2026-08-30T03:06:51.117602+00:00, confidence not recorded.
  - readme: https://github.com/0xAX/go-algorithms (fetched 2026-08-28T04:05:58.161776+00:00, sha 6dde778f3aa5)
- Data as of 2026-08-30T08:39:29.467469+00:00.