# gpjt/webgl-lessons

https://github.com/tparisi/webgl-lessons is now the officially maintained fork for this project

Repository: https://github.com/gpjt/webgl-lessons
Canonical: https://ross.abutalabs.com/products/webgl-lessons
Homepage: http://learningwebgl.com/lessons/
Language: Python
License: MIT
License Family: permissive
Last push: 2013-04-10T18:01:09+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": 6175, "days_push": 4893, "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 1050, forks 708 (observed 2026-08-28T04:03:22.895241+00:00)

## What it is
A series of sequential WebGL lessons and example code teaching 3D graphics programming in the browser, loosely modeled on the classic NeHe OpenGL tutorials. This original repository is no longer maintained; development has moved to the tparisi/webgl-lessons fork.

## Use cases
- learn webgl from scratch
- tutorial on rendering 3d graphics in the browser
- example code for webgl shaders and textures
- understand webgl basics like drawing cubes and lighting
- find webgl lesson material similar to nehe opengl tutorials

## When to choose
- you want a step-by-step introduction to WebGL with explanatory text
- you are learning browser-based 3D graphics fundamentals
- you want small, self-contained example programs to study

## When to avoid
- you need a maintained library or framework for production WebGL work
- you want modern WebGL2 or WebGPU content
- you expect active support or recent updates

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: graphics, developer-tools
- domain: graphics, web-development, tutorials
- platform: browser, cross-platform
- tags: webgl, tutorials, 3d-graphics, opengl, javascript, lessons, game-development

## Member repositories
- gpjt/webgl-lessons (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:22.895241+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 2026-08-30T07:00:22.770422+00:00, confidence not recorded.
  - readme: https://github.com/gpjt/webgl-lessons (fetched 2026-08-28T04:03:22.895241+00:00, sha 0d3ddf5a6ca7)
- Data as of 2026-08-30T08:39:29.467469+00:00.