# EvgenyKarkan/EKAlgorithms

EKAlgorithms contains some well known CS algorithms & data structures.

Repository: https://github.com/EvgenyKarkan/EKAlgorithms
Canonical: https://ross.abutalabs.com/products/ekalgorithms
Language: Objective-C
License: MIT
License Family: permissive
Topics: algorithm, objective-c
Last push: 2024-09-19T22:38:55+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4770, "days_push": 713, "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 2406, forks 351 (observed 2026-08-28T04:06:44.135649+00:00)

## What it is
EKAlgorithms is an Objective-C library containing well-known computer science algorithms and data structures, including sorting, searching, string manipulation, numeric algorithms, and graph/tree structures. It serves as both a reference implementation and educational resource for classic CS exercises.

## Use cases
- implement sorting algorithms in Objective-C
- learn classic data structures like stacks, queues, and binary trees
- find reference implementations of graph algorithms like Dijkstra and Kruskal
- study string algorithms such as KMP and Levenshtein distance
- prepare for coding interviews with CS algorithm exercises
- reuse common array operations like finding duplicates or shuffling

## When to choose
- you need well-known CS algorithms implemented in Objective-C
- you are learning or teaching data structures and algorithms on Apple platforms
- you want readable reference implementations of classic algorithms

## When to avoid
- you need a high-performance, production-grade algorithm library
- you are working in Swift or another modern language
- you need algorithms not covered by the classic CS curriculum

## Facets
- artifact type: library
- maturity: maintenance
- function: developer-tools
- domain: education, programming-languages
- platform: -
- tags: objective-c, data-structures, computer-science, learning, sorting, searching, graph-algorithms, algorithms, ios, macos

## Member repositories
- EvgenyKarkan/EKAlgorithms (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:44.135649+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 2026-08-30T02:34:05.632638+00:00, confidence not recorded.
  - readme: https://github.com/EvgenyKarkan/EKAlgorithms (fetched 2026-08-28T04:06:44.135649+00:00, sha e6aec66b782b)
- Data as of 2026-08-30T08:39:29.467469+00:00.