# ericjang/awesome-graphics

Curated list of computer graphics tutorials and resources

Repository: https://github.com/ericjang/awesome-graphics
Canonical: https://ross.abutalabs.com/products/awesome-graphics
License: CC0-1.0
License Family: permissive
Last push: 2020-02-29T22:27:34+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3907, "days_push": 2377, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1116, forks 87 (observed 2026-08-28T04:03:38.483775+00:00)

## What it is
A curated list of computer graphics tutorials, courses, textbooks, and research papers covering topics like physically-based rendering, ray tracing, shaders, and simulation. It serves as a learning resource index rather than a software tool.

## Use cases
- find tutorials for learning computer graphics
- discover papers on ray tracing and path tracing
- get started with graphics programming
- find resources on shader art and non-photorealistic rendering
- learn about fluid simulation and mesh processing
- find computer graphics textbooks and course notes

## When to choose
- you want a curated starting point for learning computer graphics
- you need references for rendering research and techniques
- you are building a self-study curriculum in graphics

## When to avoid
- you need working software or code libraries rather than links
- you need up-to-date coverage of recent graphics research
- you need a structured course rather than a link collection

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: graphics, documentation
- domain: graphics, computer-vision, tutorials, awesome-lists
- platform: cross-platform
- tags: awesome-list, computer-graphics, rendering, ray-tracing, curated-list, shaders, simulation, game-development

## Member repositories
- ericjang/awesome-graphics (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:38.483775+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 2026-08-30T06:41:58.003808+00:00, confidence not recorded.
  - readme: https://github.com/ericjang/awesome-graphics (fetched 2026-08-28T04:03:38.483775+00:00, sha e89ad161c87e)
- Data as of 2026-08-30T08:39:29.467469+00:00.