# tylerlaberge/PyPattyrn

A simple library for implementing common design patterns.

Repository: https://github.com/tylerlaberge/PyPattyrn
Canonical: https://ross.abutalabs.com/products/pypattyrn
Language: Python
License: MIT
License Family: permissive
Topics: design-patterns, python, library
Archived: true
Last push: 2024-05-26T00:24:11+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3699, "days_push": 830, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2347, forks 158 (observed 2026-08-28T04:06:40.053884+00:00)

## What it is
PyPattyrn is a Python package providing ready-made base classes and metaclasses for common GoF design patterns like Singleton, Factory, Observer, and Adapter. It reduces the boilerplate needed to apply these patterns in Python projects.

## Use cases
- implement a singleton class in python without boilerplate
- apply the observer pattern to my python project
- create factory pattern base classes in python
- learn how common design patterns are implemented in python
- reuse design pattern boilerplate across python projects

## When to choose
- you need a quick reference implementation of a classic design pattern in Python
- you are studying design patterns and want runnable Python examples

## When to avoid
- starting a new production project - the repo is explicitly unmaintained and its patterns are often unidiomatic in Python
- you want idiomatic Python solutions, since most patterns are unnecessary in Python

## Facets
- artifact type: library
- maturity: abandoned
- function: developer-tools
- domain: developer-tools, programming-languages
- platform: python
- tags: design-patterns, boilerplate, singleton, factory-pattern, observer-pattern, unmaintained

## Member repositories
- tylerlaberge/PyPattyrn (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:40.053884+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 2026-08-30T02:37:01.108839+00:00, confidence not recorded.
  - readme: https://github.com/tylerlaberge/PyPattyrn (fetched 2026-08-28T04:06:40.053884+00:00, sha a558162c28cc)
  - registry_pypi: https://pypi.org/pypi/pypattyrn/json (fetched 2026-08-29T10:17:32.663530+00:00, sha 03baeb0c34d8)
- Data as of 2026-08-30T08:39:29.467469+00:00.