# dbartolini/data-oriented-design

A curated list of data oriented design resources.

Repository: https://github.com/dbartolini/data-oriented-design
Canonical: https://ross.abutalabs.com/products/data-oriented-design
License Family: other
Last push: 2026-07-17T22:44:32+00:00

## Health v2 (maintenance only)
Score: 74/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 93, release rhythm 35, longevity 100
- inputs: {"age_days": 4096, "days_push": 47, "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 4464, forks 248 (observed 2026-08-28T04:08:50.798665+00:00)

## What it is
A curated awesome-list of data-oriented design resources including presentations, blog posts, videos, and code examples. It serves as a learning reference for developers interested in cache-friendly, performance-oriented software architecture.

## Use cases
- learn data-oriented design from talks and articles
- find resources on entity component systems and cache-friendly code
- study performance optimization techniques for game engines
- compare object-oriented vs data-oriented approaches
- find code examples demonstrating data-oriented patterns

## When to choose
- you want a curated starting point for learning data-oriented design
- you are optimizing performance-critical code like game engines
- you want links to authoritative talks by Mike Acton and others

## When to avoid
- you need a library or tool rather than reading material
- you want a structured course or tutorial rather than a link collection

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools, documentation
- domain: performance, tutorials, awesome-lists
- platform: cross-platform
- tags: awesome-list, data-oriented-design, curated-resources, ecs, cache-efficiency, game-engine-architecture, game-development

## Member repositories
- dbartolini/data-oriented-design (main) score 74

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:50.798665+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 2026-08-29T18:20:39.952494+00:00, confidence not recorded.
  - readme: https://github.com/dbartolini/data-oriented-design (fetched 2026-08-28T04:08:50.798665+00:00, sha 90be14d99391)
- Data as of 2026-08-30T08:39:29.467469+00:00.