halfrost/leetcode-go

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% | LeetCode 题解

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Summary Information

Updated 44 minutes ago
Added to GitGenius on September 1st, 2026
Created on July 18th, 2017
Open Issues & Pull Requests: 3 (+0)
GitHub issues: Enabled
Number of forks: 5,710
Total Stargazers: 33,802 (+0)
Total Subscribers: 608 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 8.0 hours
Mean response time: 219.3 days
90th percentile: 1030.8 days
Tracked items: 20

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 3% of issues opened in the past year have been closed. Three people close 95% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 0
New in 7 days: 0
Closed in 7 days: 0
Avg open age: N/A days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

LeetCode-Go is a collection of algorithm problem solutions written in Go that serves as a study resource for interview preparation and competitive programming.

The repository addresses the need for well-implemented, thoroughly tested solutions to LeetCode algorithm problems. It provides Go implementations of problems commonly asked in technical interviews at major technology companies, with solutions that follow the Google Golang Style Guide. Each solution is accompanied by test coverage and documentation explaining the approach.

This resource suits developers preparing for technical interviews or those looking to strengthen their algorithm skills through studying Go implementations. The solutions cover a broad range of algorithm categories including dynamic programming, data structures, and mathematical problems. The project maintains comprehensive test coverage and emphasizes code quality through adherence to established Go style conventions.

The project demonstrates consistent development activity with automated testing workflows that validate all solutions and a deployment pipeline that keeps documentation current. The codebase maintains high test coverage standards across all implementations.