# tayllan/awesome-algorithms

A curated list of awesome places to learn and/or practice algorithms.

Repository: https://github.com/tayllan/awesome-algorithms
Canonical: https://ross.abutalabs.com/products/awesome-algorithms
License Family: other
Last push: 2026-04-18T15:06:58+00:00

## Health v2 (maintenance only)
Score: 67/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 78, release rhythm 35, longevity 100
- inputs: {"age_days": 4431, "days_push": 137, "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 25476, forks 2959 (observed 2026-08-28T04:11:38.167898+00:00)

## What it is
A curated awesome list of resources for learning and practicing algorithms and data structures. It organizes links to courses, books, visualizations, and competitive programming sites by skill level and topic.

## Use cases
- learn algorithms from scratch
- prepare for coding interviews
- find competitive programming practice sites
- visualize data structures and algorithms
- find beginner-friendly algorithm courses
- study for programming contests

## When to choose
- you want a curated starting point for algorithm learning
- you're preparing for technical interviews or contests
- you want links to visual and interactive algorithm resources

## When to avoid
- you need runnable algorithm code or a library
- you want a structured course rather than a link collection
- you need in-depth tutorials rather than pointers to external resources

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools, documentation
- domain: education, tutorials, awesome-lists
- platform: cross-platform
- tags: awesome-list, algorithms, data-structures, competitive-programming, interview-prep, curated-list

## Member repositories
- tayllan/awesome-algorithms (main) score 67

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:38.167898+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 2026-08-29T16:56:03.203124+00:00, confidence not recorded.
  - readme: https://github.com/tayllan/awesome-algorithms (fetched 2026-08-28T04:11:38.167898+00:00, sha eac057caab5c)
- Data as of 2026-08-30T08:39:29.467469+00:00.