# dgreenheck/ez-tree

Procedural tree generator written with JavaScript and Three.js

Repository: https://github.com/dgreenheck/ez-tree
Canonical: https://ross.abutalabs.com/products/ez-tree
Homepage: https://www.eztree.dev
Language: JavaScript
License: MIT
License Family: permissive
Last push: 2026-07-16T19:53:01+00:00

## Health v2 (maintenance only)
Score: 66/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 92, release rhythm 34, longevity 61
- inputs: {"age_days": 863, "days_push": 48, "days_rel": 230, "gap_med": 226.5, "n_releases_24m": 3}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1584, forks 200 (observed 2026-08-28T04:05:07.375840+00:00)

## What it is
EZ-Tree is a procedural tree generator library for JavaScript and Three.js with dozens of tunable parameters, plus a standalone web app for designing and exporting trees as PNG or GLB. It supports level-of-detail generation for rendering many trees efficiently.

## Use cases
- generate procedural 3d trees in three.js
- create trees for a game or web scene
- export trees as glb models
- generate low-poly trees with level of detail
- randomize tree shapes from a seed
- design trees in the browser and download png

## When to choose
- you need on-demand, parameterized tree geometry in a Three.js application
- you want stylized trees with LOD support for large scenes
- you want to export trees as GLB or PNG assets

## When to avoid
- you need photorealistic scanned vegetation assets
- you are not using Three.js or a WebGL-based pipeline
- you need full ecosystems with terrain, grass, and other foliage

## Facets
- artifact type: library
- maturity: active
- function: graphics, simulation, data-generation
- domain: graphics, web-development
- platform: browser
- tags: threejs, procedural-generation, tree-generator, 3d-graphics, webgl, game-development, web-server, nodejs, javascript

## Member repositories
- dgreenheck/ez-tree (main) score 66

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:07.375840+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 2026-08-30T03:55:56.761079+00:00, confidence not recorded.
  - readme: https://github.com/dgreenheck/ez-tree (fetched 2026-08-28T04:05:07.375840+00:00, sha 3855e602f9e0)
  - homepage: https://www.eztree.dev (fetched 2026-08-29T11:26:30.041643+00:00, sha 38466a49f6bd)
- Data as of 2026-08-30T08:39:29.467469+00:00.