# Yasic/ParticleTextView

一个用粒子动画显示文字的 Android 自定义 View

Repository: https://github.com/Yasic/ParticleTextView
Canonical: https://ross.abutalabs.com/products/particletextview
Language: Java
License Family: other
Topics: customview, particles, android
Last push: 2017-05-31T16:23:21+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": 3407, "days_push": 3381, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1328, forks 195 (observed 2026-08-28T04:04:23.663969+00:00)

## What it is
An Android custom View library that renders text as colorful particle animations with configurable motion strategies. It offers a builder-style config for particle size, speed, sampling density, and several built-in movement paths.

## Use cases
- display animated particle text in an android app
- create splash screen text effects with particles
- animate text forming from moving particles
- customize particle motion paths for text views
- add eye-catching text transitions to android ui

## When to choose
- you need particle-based text animations on Android with minimal setup
- you want configurable motion strategies and particle properties
- you prefer a lightweight drop-in custom View

## When to avoid
- you need a maintained library with active support or a license
- you target platforms other than Android
- you need non-text particle effects or GPU-accelerated rendering

## Facets
- artifact type: library
- maturity: maintenance
- function: animation, ui-components
- domain: mobile-development, graphics
- platform: -
- tags: custom-view, particle-effects, text-animation, java, android, mobile

## Member repositories
- Yasic/ParticleTextView (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:23.663969+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 2026-08-30T04:45:48.836986+00:00, confidence not recorded.
  - readme: https://github.com/Yasic/ParticleTextView (fetched 2026-08-28T04:04:23.663969+00:00, sha 83d446ef8eab)
- Data as of 2026-08-30T08:39:29.467469+00:00.