# heynickc/awesome-ddd

A curated list of Domain-Driven Design (DDD), Command Query Responsibility Segregation (CQRS), Event Sourcing, and Event Storming resources

Repository: https://github.com/heynickc/awesome-ddd
Canonical: https://ross.abutalabs.com/products/awesome-ddd
License Family: other
Topics: awesome, awesome-list, list
Last push: 2026-08-26T22:19:46+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 35, longevity 100
- inputs: {"age_days": 3654, "days_push": 7, "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 12344, forks 1397 (observed 2026-08-28T04:10:52.419473+00:00)

## What it is
A curated awesome-list of resources on Domain-Driven Design (DDD), CQRS, Event Sourcing, and Event Storming. It aggregates books, courses, videos, blogs, podcasts, sample projects, and libraries across many languages.

## Use cases
- find books on domain-driven design
- learn event sourcing
- discover CQRS sample projects
- find event storming workshop resources
- locate DDD libraries for my language
- learn how to model complex business domains

## When to choose
- you are learning DDD, CQRS, or event sourcing and want vetted starting points
- you need sample projects or libraries in a specific language
- you want a broad overview of the DDD ecosystem

## When to avoid
- you need runnable software rather than a reading list
- you want a single opinionated tutorial instead of many links
- you need up-to-date maintenance status of every linked resource

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: developer-tools, tutorials, awesome-lists, backend
- platform: cross-platform
- tags: awesome-list, domain-driven-design, ddd, cqrs, event-sourcing, event-storming, curated-list

## Member repositories
- heynickc/awesome-ddd (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:52.419473+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 2026-08-29T17:14:08.649394+00:00, confidence not recorded.
  - readme: https://github.com/heynickc/awesome-ddd (fetched 2026-08-28T04:10:52.419473+00:00, sha d6c56a4a55a5)
- Data as of 2026-08-30T08:39:29.467469+00:00.