# nryoung/algorithms

This repository is not maintained

Repository: https://github.com/nryoung/algorithms
Canonical: https://ross.abutalabs.com/products/nryoung-algorithms
Language: Python
License: NOASSERTION
License Family: other
Archived: true
Last push: 2018-10-30T18:12:00+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 5125, "days_push": 2864, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2834, forks 675 (observed 2026-08-28T04:07:24.500753+00:00)

## What it is
A Python library of classic algorithms and data structures intended as an educational tool, with pseudo code, complexity notes, and documentation. It is no longer maintained and kept around for learning purposes.

## Use cases
- learn how sorting algorithms work in python
- study data structure implementations with complexity notes
- reference pseudo code for classic algorithms
- prepare for coding interviews with example implementations

## When to choose
- you want readable, documented implementations of classic algorithms for study
- you need educational examples with pseudo code and complexity analysis

## When to avoid
- you need production-ready, optimized algorithms
- you need a maintained library with active support
- you need a complete algorithms collection - use keon/algorithms instead

## Facets
- artifact type: library
- maturity: abandoned
- function: developer-tools
- domain: education, developer-tools
- platform: python
- tags: data-structures, educational, sorting, unmaintained, algorithms

## Member repositories
- nryoung/algorithms (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:24.500753+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 2026-08-30T07:38:06.345998+00:00, confidence not recorded.
  - readme: https://github.com/nryoung/algorithms (fetched 2026-08-28T04:07:24.500753+00:00, sha edda4adb3482)
- Data as of 2026-08-30T08:39:29.467469+00:00.