# jnicol/particleground

A jQuery plugin for snazzy background particle systems

Repository: https://github.com/jnicol/particleground
Canonical: https://ross.abutalabs.com/products/particleground
Language: JavaScript
License: MIT
License Family: permissive
Last push: 2020-01-29T04:33:31+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4399, "days_push": 2408, "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 2157, forks 495 (observed 2026-08-28T04:06:19.790141+00:00)

## What it is
Particleground is a JavaScript/jQuery plugin that renders animated background particle systems on HTML5 canvas, with optional mouse and gyroscope parallax effects. It is no longer maintained, and the author recommends forking it for continued use.

## Use cases
- add animated particle background to a landing page
- create interactive canvas particle network effect
- add parallax particle background that responds to mouse movement
- render connected dots background animation on a website
- add gyroscope-reactive particle background on mobile

## When to choose
- you need a lightweight canvas particle background with parallax
- you want a jQuery-compatible particle effect plugin
- you need configurable particle density, colors, and line joining

## When to avoid
- you need an actively maintained library with ongoing support
- your project uses modern frameworks where a vanilla canvas or WebGL particle library fits better
- you need high-performance GPU-accelerated particle systems

## Facets
- artifact type: plugin
- maturity: abandoned
- function: animation, ui-components, graphics
- domain: frontend, web-development, web-design
- platform: browser
- tags: jquery-plugin, particle-system, canvas, parallax, background-effect, javascript

## Member repositories
- jnicol/particleground (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:19.790141+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 2026-08-30T02:50:25.159042+00:00, confidence not recorded.
  - readme: https://github.com/jnicol/particleground (fetched 2026-08-28T04:06:19.790141+00:00, sha b52ba684d285)
- Data as of 2026-08-30T08:39:29.467469+00:00.