# ZoranPandovski/al-go-rithms

:musical_note: Algorithms written in different programming languages -  https://zoranpandovski.github.io/al-go-rithms/

Repository: https://github.com/ZoranPandovski/al-go-rithms
Canonical: https://ross.abutalabs.com/products/al-go-rithms
Language: Jupyter Notebook
License: CC0-1.0
License Family: permissive
Topics: algorithms, python, javascript, algorithms-and-data-structures, interview, java, cpp, golang, c, cryptography, scala, csharp, php, rust, algorithm, go, hacktoberfest, data-structures, hacktoberfest2021, computer-science
Last push: 2024-06-18T00:05:08+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": 3376, "days_push": 807, "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 1372, forks 1914 (observed 2026-08-28T04:04:32.213063+00:00)

## What it is
A curated collection of clean example implementations of data structures and algorithms written in many programming languages, with accompanying learning resources. It serves as an educational reference rather than a production library.

## Use cases
- learn sorting and graph algorithms with example code
- compare algorithm implementations across languages
- prepare for coding interview questions on data structures
- find reference implementations of classic algorithms
- study computer science fundamentals with code examples

## When to choose
- you want readable, educational implementations of algorithms in a specific language
- you are preparing for interviews and need worked examples
- you want to compare how the same algorithm is expressed in different languages

## When to avoid
- you need production-ready, performant algorithm libraries for an application
- you need maintained, tested packages with stable APIs
- you need a single canonical implementation rather than community-contributed variants

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools
- domain: education, programming-languages, tutorials
- platform: cross-platform
- tags: data-structures, interview-preparation, multi-language, computer-science, hacktoberfest, algorithms

## Member repositories
- ZoranPandovski/al-go-rithms (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:32.213063+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 2026-08-30T04:40:45.718544+00:00, confidence not recorded.
  - readme: https://github.com/ZoranPandovski/al-go-rithms (fetched 2026-08-28T04:04:32.213063+00:00, sha 0f758f39aba2)
- Data as of 2026-08-30T08:39:29.467469+00:00.