# vaneenige/phenomenon

⚡️ A fast 2kB low-level WebGL API.

Repository: https://github.com/vaneenige/phenomenon
Canonical: https://ross.abutalabs.com/products/phenomenon
Language: TypeScript
License: MIT
License Family: permissive
Topics: webgl, particles, shaders, gpu, rendering, low-level
Last push: 2023-11-10T18:43:14+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2975, "days_push": 1027, "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 1841, forks 47 (observed 2026-08-28T04:05:43.151535+00:00)

## What it is
Phenomenon is a 2kB, dependency-free, low-level WebGL library written in TypeScript. It provides the essentials for high-performance GPU rendering, focused on animating millions of particles via shaders.

## Use cases
- render millions of particles in the browser
- create lightweight WebGL animations with shaders
- build interactive GPU-based visual effects on a canvas
- add high-performance graphics to a web page without heavy dependencies
- prototype WebGL scenes quickly with a minimal API

## When to choose
- you need a tiny, zero-dependency WebGL renderer
- your project centers on GPU-driven particle effects
- you want low-level control over shaders and attributes
- bundle size is a critical constraint

## When to avoid
- you need a full 3D engine with scene graphs, lighting, and model loading
- you prefer high-level abstractions like Three.js
- you need WebGPU features
- you require long-term active maintenance, as releases have slowed

## Facets
- artifact type: library
- maturity: maintenance
- function: graphics, animation
- domain: web-development, frontend, graphics
- platform: browser, cross-platform
- tags: webgl, particles, shaders, gpu-rendering, tiny-library, typescript, web-server

## Member repositories
- vaneenige/phenomenon (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:43.151535+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 2026-08-30T03:18:01.609528+00:00, confidence not recorded.
  - readme: https://github.com/vaneenige/phenomenon (fetched 2026-08-28T04:05:43.151535+00:00, sha 6588d8376b38)
  - registry_npm: https://registry.npmjs.org/phenomenon (fetched 2026-08-29T10:57:06.729897+00:00, sha 501f8c9f490d)
- Data as of 2026-08-30T08:39:29.467469+00:00.