# ConardLi/awesome-coding-js

Algorithms and data structures implemented in JavaScript, with detailed explanations and tutorials

Repository: https://github.com/ConardLi/awesome-coding-js
Canonical: https://ross.abutalabs.com/products/awesome-coding-js
License Family: other
Last push: 2024-01-10T02:49:00+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2720, "days_push": 966, "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 3283, forks 501 (observed 2026-08-28T04:07:53.673507+00:00)

## What it is
A curated collection of algorithms and data structures implemented in JavaScript, with detailed explanations and tutorials organized by difficulty and topic. It also includes JavaScript deep-dive topics like implementing call/apply/bind, promises, debounce, and deep clone.

## Use cases
- prepare for coding interviews with javascript
- learn data structures and algorithms in javascript
- practice sorting and binary tree problems
- understand how to implement promise from scratch
- study frontend interview questions
- find javascript algorithm implementations with explanations

## When to choose
- you are a JavaScript or frontend developer preparing for technical interviews
- you want algorithm explanations paired with JavaScript implementations
- you want to learn common JavaScript internals like debounce, currying, and Promise

## When to avoid
- you need algorithms in another language like Python or Java
- you need a production-ready algorithm library rather than learning material
- you need actively maintained content with recent updates

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools, documentation
- domain: education, programming-languages, tutorials
- platform: -
- tags: algorithms, data-structures, javascript, interview-preparation, tutorials, coding-interview, awesome-list, web

## Member repositories
- ConardLi/awesome-coding-js (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:53.673507+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 2026-08-29T18:43:14.121217+00:00, confidence not recorded.
  - readme: https://github.com/ConardLi/awesome-coding-js (fetched 2026-08-28T04:07:53.673507+00:00, sha 644a87012191)
- Data as of 2026-08-30T08:39:29.467469+00:00.