# marcosfede/algorithms

Solved algorithms and data structures problems in many languages

Repository: https://github.com/marcosfede/algorithms
Canonical: https://ross.abutalabs.com/products/marcosfede-algorithms
Language: Python
License: GPL-3.0
License Family: copyleft
Topics: algorithm, python, ruby, golang, go, javascript, competitive-programming, data-structures, interview, interview-practice, language, bfs, heap, graph, hacktoberfest
Last push: 2024-12-13T12:41:58+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": 3411, "days_push": 628, "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 1128, forks 139 (observed 2026-08-28T04:03:41.917349+00:00)

## What it is
A collection of solved algorithm and data structure problems implemented in many programming languages including Python, Go, Rust, JavaScript, C++, and others. It serves as a learning and comparison resource inspired by keon/algorithms, including competitive programming solutions like Google Code Jam problems.

## Use cases
- study algorithms and data structures with worked solutions
- compare the same algorithm implemented in different programming languages
- prepare for coding interviews with practice problems
- learn a new programming language through familiar algorithm problems
- review competitive programming solutions from Google Code Jam
- find reference implementations of graphs, heaps, BFS, and other classic structures

## When to choose
- you want to learn or compare algorithms across multiple languages
- you are preparing for technical interviews and want example solutions
- you want reference implementations of classic data structures and competitive programming problems

## When to avoid
- you need a production-ready, tested algorithm library to import into your application
- you need guaranteed-correct, maintained implementations rather than educational solutions
- you need a single-language package with API documentation

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools
- domain: education, programming-languages, tutorials
- platform: python, go, rust, cpp, cross-platform
- tags: data-structures, competitive-programming, interview-preparation, multi-language, code-jam, study-material, algorithms, javascript

## Member repositories
- marcosfede/algorithms (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:41.917349+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 2026-08-30T06:38:33.707589+00:00, confidence not recorded.
  - readme: https://github.com/marcosfede/algorithms (fetched 2026-08-28T04:03:41.917349+00:00, sha bec0b1aebcc8)
- Data as of 2026-08-30T08:39:29.467469+00:00.