# brandon-rhodes/python-patterns

Source code behind the python-patterns.guide site by Brandon Rhodes

Repository: https://github.com/brandon-rhodes/python-patterns
Canonical: https://ross.abutalabs.com/products/brandon-rhodes-python-patterns
Language: Python
License Family: other
Last push: 2025-04-06T03:47:35+00:00

## Health v2 (maintenance only)
Score: 39/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 15, release rhythm 35, longevity 100
- inputs: {"age_days": 3136, "days_push": 514, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1522, forks 125 (observed 2026-08-28T04:04:57.990087+00:00)

## What it is
The source code behind python-patterns.guide, Brandon Rhodes' site about design patterns in Python, built with Sphinx as a static site. The page texts are copyrighted, but the CSS and Makefile are MIT-licensed for reuse.

## Use cases
- learn design patterns in Python
- see how to build a static site with Sphinx
- study how python-patterns.guide is generated
- borrow a Sphinx site CSS and Makefile setup
- understand classic patterns applied to Python

## When to choose
- you want to learn Python design patterns from a respected author
- you need a reference example of a Sphinx-generated static site

## When to avoid
- you need a reusable code library of design pattern implementations
- you want to republish the written content, which is all-rights-reserved
- you need a permissively licensed full codebase

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, static-site-generator
- domain: programming-languages, tutorials, documentation
- platform: python
- tags: design-patterns, sphinx, python-patterns-guide, educational-content, web-server

## Member repositories
- brandon-rhodes/python-patterns (main) score 39

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:57.990087+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 2026-08-30T04:31:46.482340+00:00, confidence not recorded.
  - readme: https://github.com/brandon-rhodes/python-patterns (fetched 2026-08-28T04:04:57.990087+00:00, sha 554923499411)
- Data as of 2026-08-30T08:39:29.467469+00:00.