# josdirksen/learning-threejs

Code repository for the examples from the Packt book "Learning Threejs"

Repository: https://github.com/josdirksen/learning-threejs
Canonical: https://ross.abutalabs.com/products/learning-threejs
Language: JavaScript
License Family: other
Last push: 2021-07-24T09:53:46+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4960, "days_push": 1866, "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 3185, forks 1254 (observed 2026-08-28T04:07:48.011333+00:00)

## What it is
A repository of example code accompanying the Packt book 'Learning Three.js' (second edition), demonstrating 3D graphics with the Three.js library. It serves as a learning resource with runnable JavaScript examples based on Three.js r63.

## Use cases
- learn three.js from book examples
- find three.js sample code for 3d scenes
- study webgl examples
- follow along with learning threejs book
- explore three.js demos and tutorials

## When to choose
- you are reading the Learning Three.js book and want its example code
- you want to study classic Three.js r63 examples
- you are learning 3D web graphics from scratch

## When to avoid
- you need up-to-date Three.js APIs (examples target r63)
- you want a production library rather than educational examples
- you need the third edition examples (use learning-threejs-third repo)

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: graphics, developer-tools
- domain: web-development, graphics, tutorials
- platform: browser
- tags: threejs, webgl, book-examples, 3d-graphics, javascript

## Member repositories
- josdirksen/learning-threejs (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:48.011333+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 2026-08-30T07:25:00.499505+00:00, confidence not recorded.
  - readme: https://github.com/josdirksen/learning-threejs (fetched 2026-08-28T04:07:48.011333+00:00, sha 950ec55c40aa)
- Data as of 2026-08-30T08:39:29.467469+00:00.