# valignatev/ddd-dynamic

Domain Driven Design in Python, Ruby and other dynamic languages resources

Repository: https://github.com/valignatev/ddd-dynamic
Canonical: https://ross.abutalabs.com/products/ddd-dynamic
License Family: other
Topics: ddd, python, ruby, php, cleanarchitecture, architecture, domain-driven-design
Last push: 2023-06-08T16:56:38+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": 3700, "days_push": 1182, "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 1400, forks 124 (observed 2026-08-28T04:04:37.139311+00:00)

## What it is
A curated collection of resources about Domain Driven Design, clean architecture, and layered architecture in dynamic languages like Python, Ruby, and PHP. It aggregates books, Stack Exchange discussions, and slides rather than providing runnable code.

## Use cases
- learn domain driven design in python
- find books on clean architecture for ruby
- apply DDD patterns in PHP projects
- separate business logic from framework code
- resources on layered architecture in dynamic languages

## When to choose
- you want a curated reading list on DDD for Python, Ruby, or PHP
- you're researching clean/layered architecture patterns in dynamic languages

## When to avoid
- you need a runnable framework or library implementing DDD
- you need DDD resources for statically typed languages like Java or C#

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: developer-tools, tutorials, web-development
- platform: python, ruby, php
- tags: domain-driven-design, clean-architecture, awesome-list, dynamic-languages, software-architecture

## Member repositories
- valignatev/ddd-dynamic (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:37.139311+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 2026-08-30T04:39:07.935720+00:00, confidence not recorded.
  - readme: https://github.com/valignatev/ddd-dynamic (fetched 2026-08-28T04:04:37.139311+00:00, sha fafe971332ab)
- Data as of 2026-08-30T08:39:29.467469+00:00.