# neetcode-gh/leetcode

Leetcode solutions

Repository: https://github.com/neetcode-gh/leetcode
Canonical: https://ross.abutalabs.com/products/neetcode-gh-leetcode
Language: JavaScript
License: MIT
License Family: permissive
Last push: 2026-08-19T05:25:31+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 98, release rhythm 35, longevity 100
- inputs: {"age_days": 2051, "days_push": 14, "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 6456, forks 2487 (observed 2026-08-28T04:09:43.555294+00:00)

## What it is
A collection of LeetCode problem solutions accompanying the NeetCode.io site and YouTube channel. Solutions are provided in many languages including Python, Java, JavaScript, C++, Go, Rust, and more.

## Use cases
- prepare for coding interviews
- find leetcode solutions in multiple languages
- learn data structures and algorithms
- study neetcode roadmap problems
- compare solutions across programming languages
- practice algorithm problems with reference answers

## When to choose
- You are preparing for technical interviews and want curated, explained solutions
- You want to see the same problem solved in many different languages
- You follow the NeetCode roadmap or YouTube channel and want the accompanying code

## When to avoid
- You need a runnable tool or library rather than reference code
- You want interactive practice with automated judging - use LeetCode itself
- You need guaranteed complete coverage of every LeetCode problem

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools
- domain: education, programming-languages
- platform: cross-platform
- tags: leetcode, interview-prep, coding-interview, data-structures, algorithms, neetcode, solutions, practice-problems

## Member repositories
- neetcode-gh/leetcode (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:43.555294+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 2026-08-29T17:44:38.573144+00:00, confidence not recorded.
  - readme: https://github.com/neetcode-gh/leetcode (fetched 2026-08-28T04:09:43.555294+00:00, sha 8cd15d98a27f)
- Data as of 2026-08-30T08:39:29.467469+00:00.