# AndrewPrifer/liquid-dom

Liquid Glass for the Web

Repository: https://github.com/AndrewPrifer/liquid-dom
Canonical: https://ross.abutalabs.com/products/liquid-dom
Homepage: https://liquid-dom-showcase.vercel.app
Language: TypeScript
License Family: other
Last push: 2026-08-26T09:52:09+00:00

## Health v2 (maintenance only)
Score: 59/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 35, longevity 9
- inputs: {"age_days": 137, "days_push": 7, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, young, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2460, forks 119 (observed 2026-08-28T04:06:53.407556+00:00)

## What it is
Liquid DOM is a monorepo of TypeScript packages for rendering Apple-style liquid glass effects on the web using WebGPU. It provides a core renderer, React bindings, Three.js and React Three Fiber integrations, and a renderer-agnostic layout engine.

## Use cases
- add liquid glass UI effects to a web app
- render glassmorphism overlays over a Three.js WebGPU scene
- build declarative glass UI in React 19
- use SwiftUI-style layout measurement in the browser
- composite glass layers over React Three Fiber scenes

## When to choose
- you want WebGPU-powered liquid glass effects with React or Three.js integration
- you need a renderer-agnostic layout engine for glass UI

## When to avoid
- you need broad browser support without WebGPU
- you want a simple CSS-only glass effect
- your project requires a permissive license - the repo has no license file

## Facets
- artifact type: library
- maturity: active
- function: graphics, ui-components, animation, frontend-framework
- domain: web-development, frontend, graphics
- platform: browser
- tags: webgpu, liquid-glass, react-three-fiber, threejs, layout-engine, monorepo, glassmorphism, web-server, typescript, react

## Member repositories
- AndrewPrifer/liquid-dom (main) score 59

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:53.407556+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 2026-08-30T02:29:19.775901+00:00, confidence not recorded.
  - readme: https://github.com/AndrewPrifer/liquid-dom (fetched 2026-08-28T04:06:53.407556+00:00, sha 8f4d3cf16fc0)
  - homepage: https://liquid-dom-showcase.vercel.app (fetched 2026-08-29T10:10:55.499818+00:00, sha 3e4e35a47c29)
- Data as of 2026-08-30T08:39:29.467469+00:00.