# mariuszgil/awesome-eventstorming

Awesome EventStorming

Repository: https://github.com/mariuszgil/awesome-eventstorming
Canonical: https://ross.abutalabs.com/products/awesome-eventstorming
License Family: other
Topics: eventstorming, knowledge, links, articles, videos, workshop-materials
Last push: 2024-10-23T06:49:57+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": 3013, "days_push": 679, "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 2393, forks 191 (observed 2026-08-28T04:06:43.423632+00:00)

## What it is
A curated awesome-list of links, articles, books, videos, and workshop materials about EventStorming, a lightweight workshop-based method for domain discovery and process modeling using sticky notes. It serves as a reference hub for learning and facilitating EventStorming sessions.

## Use cases
- learn eventstorming technique
- find eventstorming articles and books
- prepare a domain discovery workshop
- introduce domain-driven design to a team
- facilitate a big picture eventstorming session
- model business processes with domain events

## When to choose
- you want a curated starting point for EventStorming materials
- you are facilitating a domain modeling workshop and need references
- you are learning domain-driven design acceleration techniques

## When to avoid
- you need software tooling rather than reading material
- you want an executable modeling application

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation
- domain: developer-tools, tutorials, awesome-lists
- platform: -
- tags: eventstorming, domain-driven-design, workshop-method, curated-links, software-modeling, web-server

## Member repositories
- mariuszgil/awesome-eventstorming (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:43.423632+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 2026-08-30T02:34:26.155718+00:00, confidence not recorded.
  - readme: https://github.com/mariuszgil/awesome-eventstorming (fetched 2026-08-28T04:06:43.423632+00:00, sha 7d89408be624)
- Data as of 2026-08-30T08:39:29.467469+00:00.