# AlgoMaster

Awesome LeetCode resources to learn Data Structures and Algorithms and prepare for Coding Interviews.

Repository: https://github.com/ashishps1/awesome-leetcode-resources
Canonical: https://ross.abutalabs.com/products/algomaster
Homepage: https://algomaster.io
Language: Java
License: GPL-3.0
License Family: copyleft
Topics: algorithms, coding, data-structures, leetcode, leetcode-patterns, dsa
Last push: 2026-06-06T18:57:28+00:00
Link (homepage): https://algomaster.io
Link (site_page): https://algomaster.io/faqs

## Health v2 (maintenance only)
Score: 66/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 86, release rhythm 35, longevity 74
- inputs: {"age_days": 1044, "days_push": 88, "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 17738, forks 3722 (observed 2026-08-28T04:11:20.316618+00:00)

## What it is
A collection of curated awesome-list repositories (awesome-system-design-resources, awesome-low-level-design, awesome-leetcode-resources, and more) offering free resources to learn system design, low-level design, coding, and behavioral interview concepts. It is part of the AlgoMaster ecosystem, which also includes a newsletter and a paid learning platform with pattern-based interview courses.

## Use cases
- prepare for a system design interview
- learn distributed systems concepts like load balancing and sharding
- find free resources for low-level design and OOP interview questions
- study leetcode coding patterns for technical interviews
- practice behavioral interview answers using the STAR method
- understand scalability, caching, and database fundamentals
- find curated engineering articles for backend engineers

## When to choose
- you want a free, curated index of interview preparation articles, videos, and courses
- you are preparing for software engineering interviews at any level
- you want structured starting points for system design or LLD topics

## When to avoid
- you need an interactive practice platform with graded problems (the lists link out to resources)
- you want runnable code or tooling rather than reading material
- you need guaranteed up-to-date content for every linked resource

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools, documentation
- domain: developer-tools, tutorials, microservices, backend
- platform: -
- tags: awesome-list, interview-preparation, system-design, low-level-design, leetcode, behavioral-interviews, scalability, free-resources, algorithms, web-server

## Member repositories
- ashishps1/awesome-leetcode-resources (docs) score 66
- ashishps1/awesome-system-design-resources (docs) score 57
- ashishps1/awesome-low-level-design (docs) score 71
- ashishps1/awesome-behavioral-interviews (docs) score 43
- ashishps1/awesome-engineering-articles (docs) score 47

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:20.316618+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 2026-08-29T16:23:16.573139+00:00, confidence not recorded.
  - readme: https://github.com/ashishps1/awesome-leetcode-resources (fetched 2026-08-28T04:11:20.316618+00:00, sha c5c422953576)
  - homepage: https://algomaster.io (fetched 2026-08-29T07:46:59.427558+00:00, sha 424b58c810b1)
  - site_page: https://algomaster.io/faqs (fetched 2026-08-29T07:46:59.430629+00:00, sha 5815bca1fd2b)
- Data as of 2026-08-30T08:39:29.467469+00:00.