# erich666/GraphicsGems

Code for the "Graphics Gems" book series

Repository: https://github.com/erich666/GraphicsGems
Canonical: https://ross.abutalabs.com/products/graphicsgems
Language: C
License: NOASSERTION
License Family: other
Last push: 2026-02-26T18:26:32+00:00

## Health v2 (maintenance only)
Score: 63/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 69, release rhythm 35, longevity 100
- inputs: {"age_days": 4848, "days_push": 188, "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 1518, forks 271 (observed 2026-08-28T04:04:57.460869+00:00)

## What it is
The official code repository for the 'Graphics Gems' book series, containing C source code for classic computer graphics algorithms and techniques. It serves as a companion code archive maintained by series editor Eric Haines.

## Use cases
- implement classic 2D and 3D graphics algorithms
- find reference C code for rasterization and geometry tricks
- study historical graphics programming techniques
- look up matrix, vector, and quaternion math routines
- port proven graphics snippets into modern engines
- learn computer graphics fundamentals from book examples

## When to choose
- you need well-known graphics algorithm implementations from a trusted source
- you are studying or teaching computer graphics
- you want reference C code for geometry, shading, or rendering tricks

## When to avoid
- you need a modern maintained graphics library or engine
- you require permissively licensed code for commercial use without review
- you want GPU/shader-era techniques rather than classic CPU-era algorithms

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: graphics, math, simulation
- domain: graphics, tutorials, developer-tools
- platform: cpp, cross-platform
- tags: graphics-gems, c, computer-graphics, algorithms, book-code, reference-code

## Member repositories
- erich666/GraphicsGems (main) score 63

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:57.460869+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 2026-08-30T04:32:01.235733+00:00, confidence not recorded.
  - readme: https://github.com/erich666/GraphicsGems (fetched 2026-08-28T04:04:57.460869+00:00, sha 46d0e3f7f406)
- Data as of 2026-08-30T08:39:29.467469+00:00.