# dli/fluid

Fluid Particles - http://david.li/fluid

Repository: https://github.com/dli/fluid
Canonical: https://ross.abutalabs.com/products/dli-fluid
Language: JavaScript
License: MIT
License Family: permissive
Last push: 2020-09-11T08:01:28+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": 3734, "days_push": 2182, "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 1208, forks 153 (observed 2026-08-28T04:03:59.648586+00:00)

## What it is
A WebGL-based real-time 3D fluid simulation and rendering demo using the PIC/FLIP particle method on the GPU. It renders particles with spherical ambient occlusion volumes and runs in the browser.

## Use cases
- simulate 3d fluid in the browser
- real-time particle fluid simulation with webgl
- gpu pic/flip fluid solver
- render fluid particles with ambient occlusion
- interactive water simulation demo
- learn gpu-based fluid dynamics

## When to choose
- you need a browser-based real-time 3D fluid demo built on WebGL
- you want a GPU PIC/FLIP particle fluid implementation to study or adapt
- you need visually appealing particle rendering with spherical ambient occlusion volumes

## When to avoid
- you need production-grade, physically accurate CFD simulation
- you require a maintained library with active support and documentation
- you need 2D fluid effects or a non-WebGL rendering pipeline

## Facets
- artifact type: library
- maturity: maintenance
- function: simulation, graphics, image-processing
- domain: simulation, graphics, web-development
- platform: browser
- tags: webgl, fluid-simulation, particles, pic-flip, gpu-computing, real-time, web-server, javascript

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

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:59.648586+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 2026-08-30T06:18:55.028643+00:00, confidence not recorded.
  - readme: https://github.com/dli/fluid (fetched 2026-08-28T04:03:59.648586+00:00, sha 64c004cb54f3)
- Data as of 2026-08-30T08:39:29.467469+00:00.