# CyberAgentGameEntertainment/UnityPerformanceTuningBible

Unity Performance Tuning knowledge book

Repository: https://github.com/CyberAgentGameEntertainment/UnityPerformanceTuningBible
Canonical: https://ross.abutalabs.com/products/unityperformancetuningbible
Language: C++
License Family: other
Topics: unity, book, tuning, performance
Last push: 2026-06-29T09:28:38+00:00

## Health v2 (maintenance only)
Score: 63/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 90, release rhythm 8, longevity 100
- inputs: {"age_days": 1492, "days_push": 65, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1674, forks 66 (observed 2026-08-28T04:05:20.406836+00:00)

## What it is
A systematically organized knowledge book on Unity performance tuning, published by CyberAgent's game entertainment division. It is available as a web version and as a downloadable PDF e-book built from Re:VIEW sources.

## Use cases
- optimize unity game frame rate
- reduce unity memory usage
- learn unity profiling techniques
- speed up unity rendering
- fix unity cpu bottlenecks
- unity performance best practices

## When to choose
- you are developing with Unity and need structured performance tuning guidance
- you want a free, comprehensive reference covering Unity optimization topics
- you prefer reading a book-style document (web or PDF) over scattered blog posts

## When to avoid
- you need executable code or a tool rather than documentation
- you require an officially licensed open-source work (the repo has no license)
- you need languages other than Japanese or English

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation
- domain: performance, tutorials
- platform: game-engine
- tags: unity, performance-tuning, book, optimization, pdf, japanese, game-development

## Member repositories
- CyberAgentGameEntertainment/UnityPerformanceTuningBible (main) score 63

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:20.406836+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 2026-08-30T03:42:30.306269+00:00, confidence not recorded.
  - readme: https://github.com/CyberAgentGameEntertainment/UnityPerformanceTuningBible (fetched 2026-08-28T04:05:20.406836+00:00, sha 12324436ebb1)
- Data as of 2026-08-30T08:39:29.467469+00:00.