# KhronosGroup/glTF-Tutorials

glTF Tutorials

Repository: https://github.com/KhronosGroup/glTF-Tutorials
Canonical: https://ross.abutalabs.com/products/gltf-tutorials
Language: Python
License: CC-BY-4.0
License Family: other
Last push: 2026-05-01T12:50:25+00:00

## Health v2 (maintenance only)
Score: 68/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 80, release rhythm 35, longevity 100
- inputs: {"age_days": 3605, "days_push": 124, "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 1251, forks 216 (observed 2026-08-28T04:04:08.328308+00:00)

## What it is
Official Khronos Group tutorials for glTF, the 3D asset transmission format, covering the core glTF format, physically based rendering (PBR), material extensions, and building a Blender-based glTF conversion tool. Tutorials are written in Markdown with an online HTML version hosted by Khronos.

## Use cases
- learn the glTF 3D asset format
- understand physically based rendering in glTF
- add material extensions to glTF models
- build a glTF conversion tool with Blender
- reference documentation for writing glTF files by hand

## When to choose
- you are learning or implementing glTF from scratch
- you need authoritative Khronos guidance on glTF PBR and extensions
- you want to write a glTF exporter or converter

## When to avoid
- you need a glTF library, loader, or runtime rather than documentation
- you need tutorials for other 3D formats like FBX or OBJ

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, graphics
- domain: graphics, tutorials, web-development
- platform: cross-platform
- tags: gltf, 3d-models, pbr, blender, khronos, tutorials, game-development

## Member repositories
- KhronosGroup/glTF-Tutorials (main) score 68

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:08.328308+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 2026-08-30T05:07:36.797620+00:00, confidence not recorded.
  - readme: https://github.com/KhronosGroup/glTF-Tutorials (fetched 2026-08-28T04:04:08.328308+00:00, sha 7dbcac2413be)
- Data as of 2026-08-30T08:39:29.467469+00:00.
