# dli/paint

Fluid Paint - http://david.li/paint

Repository: https://github.com/dli/paint
Canonical: https://ross.abutalabs.com/products/paint
Language: JavaScript
License: MIT
License Family: permissive
Last push: 2023-07-06T18:07:22+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3495, "days_push": 1154, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2967, forks 269 (observed 2026-08-28T04:07:32.592233+00:00)

## What it is
A browser-based fluid paint application that simulates fluid dynamics for realistic brush strokes, built with WebGL in JavaScript. It is the open-source code behind david.li/paint.

## Use cases
- paint with realistic fluid brush strokes in the browser
- demo of WebGL fluid simulation techniques
- learn how to implement fluid dynamics painting
- creative drawing tool with watercolor-like effects
- starting point for building a web-based painting app

## When to choose
- you want a realistic fluid/wet-media painting experience in a browser
- you want to study WebGL fluid simulation for painting
- you need a lightweight MIT-licensed painting demo to build on

## When to avoid
- you need a full-featured image editor with layers and file export
- you need a production drawing app with collaboration or mobile support
- you need support or frequent updates - the project is largely unmaintained

## Facets
- artifact type: application
- maturity: maintenance
- function: graphics, simulation, gui
- domain: graphics, web-development
- platform: browser
- tags: fluid-simulation, webgl, painting, creative-coding, canvas, game-development, web, javascript

## Member repositories
- dli/paint (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:32.592233+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 2026-08-29T18:47:29.462587+00:00, confidence not recorded.
  - readme: https://github.com/dli/paint (fetched 2026-08-28T04:07:32.592233+00:00, sha 7aded513efd9)
- Data as of 2026-08-30T08:39:29.467469+00:00.