# paroj/gltut

Learning Modern 3D Graphics Programming

Repository: https://github.com/paroj/gltut
Canonical: https://ross.abutalabs.com/products/gltut
Homepage: https://paroj.github.io/gltut/
Language: C++
License: MIT
License Family: permissive
Topics: opengl, tutorial
Last push: 2025-12-30T19:21:24+00:00

## Health v2 (maintenance only)
Score: 49/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 59, release rhythm 8, longevity 100
- inputs: {"age_days": 3901, "days_push": 246, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1834, forks 459 (observed 2026-08-28T04:05:42.450413+00:00)

## What it is
A series of tutorials and accompanying C++ example code teaching modern 3D graphics programming with OpenGL, based on Jason McKesson's book. It covers basics, transformations, illumination, texturing, framebuffers, and advanced lighting with HTML/PDF documentation.

## Use cases
- learn modern OpenGL from scratch
- understand vertex and fragment shaders
- learn 3D transformations and projection matrices
- study lighting and texturing techniques in OpenGL
- find example OpenGL tutorial code in C++

## When to choose
- you want a structured, book-style introduction to modern OpenGL
- you prefer learning graphics concepts with runnable C++ examples
- you need free, well-regarded OpenGL learning material

## When to avoid
- you need Vulkan, DirectX, or Metal tutorials
- you want a graphics engine or library rather than educational material
- you need beginner-level general C++ instruction

## Facets
- artifact type: learning-resource
- maturity: active
- function: graphics, documentation
- domain: graphics, tutorials, education
- platform: cpp, cross-platform
- tags: opengl, 3d-graphics, tutorial-series, shaders, rendering

## Member repositories
- paroj/gltut (main) score 49

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:42.450413+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 2026-08-30T03:18:36.239037+00:00, confidence not recorded.
  - readme: https://github.com/paroj/gltut (fetched 2026-08-28T04:05:42.450413+00:00, sha 265d0892bb49)
  - homepage: https://paroj.github.io/gltut/ (fetched 2026-08-29T10:57:42.909625+00:00, sha 66710902afdd)
- Data as of 2026-08-30T08:39:29.467469+00:00.