# kittykatattack/learningPixi

A step-by-step introduction to making games and interactive media with the Pixi.js rendering engine.

Repository: https://github.com/kittykatattack/learningPixi
Canonical: https://ross.abutalabs.com/products/learningpixi
License Family: other
Last push: 2021-09-11T13:53:18+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": 4305, "days_push": 1817, "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 4417, forks 841 (observed 2026-08-28T04:08:48.687618+00:00)

## What it is
A step-by-step tutorial for learning the Pixi.js 2D WebGL rendering engine, covering sprites, texture atlases, animation, keyboard input, and collision detection. It culminates in a complete case-study game called Treasure Hunter.

## Use cases
- learn pixi.js from scratch
- how to create sprites in pixi
- pixi.js texture atlas tutorial
- make a 2d browser game with pixi
- collision detection in pixi.js
- keyboard movement for web games
- interactive media rendering tutorial

## When to choose
- you are new to Pixi.js and want a guided, example-driven introduction
- you want to learn 2D game basics like sprites, scenes, and collisions in the browser
- you prefer free written tutorials with a full worked example

## When to avoid
- you need documentation for the latest Pixi versions (tutorial targets v5)
- you want a general game engine with physics, audio, and asset pipelines built in
- you need a reference manual rather than a step-by-step walkthrough

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: game-engine, graphics, developer-tools
- domain: graphics, web-development, tutorials
- platform: browser
- tags: pixi.js, tutorial, game-development, 2d-graphics, sprites, interactive-media, webgl, javascript, web

## Member repositories
- kittykatattack/learningPixi (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:48.687618+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 2026-08-29T18:21:00.486486+00:00, confidence not recorded.
  - readme: https://github.com/kittykatattack/learningPixi (fetched 2026-08-28T04:08:48.687618+00:00, sha 7fa81694175e)
- Data as of 2026-08-30T08:39:29.467469+00:00.