# aQuaYi/LeetCode-in-Go

Go Solution for LeetCode algorithms problems, 100% coverage.

Repository: https://github.com/aQuaYi/LeetCode-in-Go
Canonical: https://ross.abutalabs.com/products/leetcode-in-go
Language: Go
License: MIT
License Family: permissive
Topics: leetcode, go, algorithms
Archived: true
Last push: 2023-02-24T23:31:29+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3339, "days_push": 1286, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3118, forks 164 (observed 2026-08-28T04:07:44.201136+00:00)

## What it is
A collection of Go solutions for LeetCode algorithm problems with near-complete coverage of free algorithm questions. Each problem includes tested, accepted Go implementations organized by problem number.

## Use cases
- study Go solutions to LeetCode algorithm problems
- prepare for coding interviews with worked examples
- learn idiomatic Go by reading algorithm implementations
- find reference implementations for specific LeetCode problems
- practice algorithms in Go with verified answers

## When to choose
- you want Go-language solutions for LeetCode algorithm questions
- you need reference implementations while practicing interview problems
- you want to study algorithm techniques through real problem solutions

## When to avoid
- you need a runnable library or package to import into your own projects
- you want solutions for database, shell, or premium LeetCode problems
- you need tutorials explaining concepts rather than solution code

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools
- domain: education, programming-languages
- platform: go
- tags: leetcode, interview-preparation, algorithms, solutions, go, competitive-programming

## Member repositories
- aQuaYi/LeetCode-in-Go (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:44.201136+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 2026-08-30T07:26:38.609209+00:00, confidence not recorded.
  - readme: https://github.com/aQuaYi/LeetCode-in-Go (fetched 2026-08-28T04:07:44.201136+00:00, sha 10c8c41a36cf)
- Data as of 2026-08-30T08:39:29.467469+00:00.