# dgreenheck/threejs-particle-fluids

> GPU particle physics library for Three.js: liquids, soft bodies, cloth, and smoke simulated and rendered with WebGPU. Suited for interactive 3D scenes with particle physics in the browser.

- Magnitude: 5.1 out of 10 — Early signal
- Stars: 93 total · +0 stars today, ≈ 70 by evening
- Star trust: star growth looks organic
- Category: Games & graphics · Language: TypeScript · License: MIT · Created: 2026-09-25 · Last push: 2026-09-28
- GitHub: https://github.com/dgreenheck/threejs-particle-fluids · Homepage: https://dgreenheck.github.io/threejs-particle-fluids/ · Page: https://gitnova.dev/en/r/dgreenheck/threejs-particle-fluids

## Useful for

- Build an interactive scene with water spilling and click splashes
- Simulate soft bodies and cloth dropping onto an obstacle
- Run demo presets to compare liquid and smoke behavior

## Why it’s here

- 0 stars so far today, about 70 expected by the end of the day.
- The spike has held for 2 days in a row — not a one-off blip.
- The repository is 4 days old and already has 93 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #153.
- About 21 forks a day — people are taking the code.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 10
- Issues and pull requests: 2
- Watchers: 1
- Average over the last week: 33 per day
- Usual pace: too little history (under two weeks)
- Latest release: v0.2.0 (2026-09-28)

## Stars per day, last 10 days (oldest → newest, today is partial)

2026-09-20 … 2026-09-29: 0, 0, 0, 0, 0, 1, 1, 5, 87, 0

## Spotted in now

- Top new repositories this week: #153

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-09-29 02:26 UTC, updated every 30 minutes.