# OmkarPathak/pygorithm

A Python module for learning all major algorithms

Repository: https://github.com/OmkarPathak/pygorithm
Canonical: https://ross.abutalabs.com/products/pygorithm
Language: Python
License: MIT
License Family: permissive
Topics: algorithms, data-structures, python3, modules
Last push: 2025-10-11T01:50:02+00:00

## Health v2 (maintenance only)
Score: 44/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 46, release rhythm 8, longevity 100
- inputs: {"age_days": 3321, "days_push": 327, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4383, forks 503 (observed 2026-08-28T04:08:47.012747+00:00)

## What it is
Pygorithm is a Python module for learning all major algorithms, purely for educational purposes. It provides easy access to algorithm implementations, their source code, and time complexities.

## Use cases
- learn major algorithms in python
- get algorithm source code in editor
- check time complexity of algorithms
- study data structures and sorting
- educational reference for algorithms

## When to choose
- you want to learn algorithms with simple, readable implementations
- you need quick access to time complexity information
- you are a student or educator looking for algorithm examples
- you want to see algorithm code directly in your editor

## When to avoid
- you need production-grade, performance-optimized algorithm implementations
- you require algorithms not covered by the module
- you need a comprehensive competitive programming library

## Facets
- artifact type: library
- maturity: maintenance
- function: developer-tools
- domain: education, developer-tools
- platform: python, cross-platform
- tags: algorithms, data-structures, sorting, searching, time-complexity, learning, educational, python3, education

## Member repositories
- OmkarPathak/pygorithm (main) score 44

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:47.012747+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 2026-08-29T18:21:16.758842+00:00, confidence not recorded.
  - readme: https://github.com/OmkarPathak/pygorithm (fetched 2026-08-28T04:08:47.012747+00:00, sha 1d2ad1df4cbe)
  - registry_pypi: https://pypi.org/pypi/pygorithm/json (fetched 2026-08-29T09:09:21.233822+00:00, sha 28d67bb9e855)
- Data as of 2026-08-30T08:39:29.467469+00:00.