# sudeepag/SAConfettiView

Confetti! Who doesn't like confetti?

Repository: https://github.com/sudeepag/SAConfettiView
Canonical: https://ross.abutalabs.com/products/saconfettiview
Language: Swift
License: MIT
License Family: permissive
Last push: 2022-06-07T10:05:54+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": 3915, "days_push": 1548, "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 1557, forks 262 (observed 2026-08-28T04:05:03.323503+00:00)

## What it is
SAConfettiView is a Swift UIView subclass that adds customizable, multi-colored confetti animations to iOS applications. It supports various confetti shapes, custom images, colors, and intensity levels.

## Use cases
- add confetti animation when user completes a task
- celebrate user achievements with falling confetti
- show reward effects on purchase or signup success
- customize confetti shapes like stars, triangles, or diamonds
- use a custom image as confetti particles
- adjust confetti intensity for different celebration levels

## When to choose
- you need a simple, drop-in confetti effect for an iOS app
- you want a UIView-based solution with easy customization of shapes, colors, and intensity
- you prefer a lightweight CocoaPods-installable library

## When to avoid
- you need cross-platform animations for Android or web
- you need advanced particle physics beyond simple confetti effects
- you are building with SwiftUI and want native declarative animation APIs

## Facets
- artifact type: library
- maturity: maintenance
- function: animation, ui-components
- domain: mobile-development, cross-platform
- platform: -
- tags: confetti, swift, uikit, particle-effects, cocoapods, celebration, ios, mobile

## Member repositories
- sudeepag/SAConfettiView (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:03.323503+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 2026-08-30T04:29:58.071716+00:00, confidence not recorded.
  - readme: https://github.com/sudeepag/SAConfettiView (fetched 2026-08-28T04:05:03.323503+00:00, sha b96c9fe37179)
- Data as of 2026-08-30T08:39:29.467469+00:00.