# sureJiang/MSSCrollGuideView

Keyframeanimation user guided animation

Repository: https://github.com/sureJiang/MSSCrollGuideView
Canonical: https://ross.abutalabs.com/products/msscrollguideview
Language: Objective-C
License: MIT
License Family: permissive
Last push: 2020-12-27T06:15:58+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": 2369, "days_push": 2075, "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 1593, forks 7 (observed 2026-08-28T04:05:08.843521+00:00)

## What it is
An Objective-C iOS library that creates keyframe-based guided animations to walk users through app features. It provides ready-made views for building onboarding and feature-introduction overlays with animated scroll guides.

## Use cases
- show new users how to interact with an app screen
- create animated onboarding walkthroughs on iOS
- highlight UI elements with keyframe guide animations
- build feature-introduction coach marks in Objective-C
- add first-launch tutorial overlays to an iOS app

## When to choose
- you need a lightweight Objective-C solution for iOS onboarding animations
- you want keyframe-based guided tours without heavy dependencies
- your app is UIKit-based and needs coach-mark style guides

## When to avoid
- you are building for Android or cross-platform with Flutter or React Native
- your project is Swift-only and you prefer pure Swift libraries
- you need highly customizable onboarding flows beyond simple guide animations

## Facets
- artifact type: library
- maturity: maintenance
- function: animation, ui-components
- domain: mobile-development, frontend
- platform: -
- tags: objective-c, keyframe-animation, user-onboarding, guide-overlay, uikit, coach-marks, ios, mobile

## Member repositories
- sureJiang/MSSCrollGuideView (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:08.843521+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 2026-08-30T03:54:16.028049+00:00, confidence not recorded.
  - readme: https://github.com/sureJiang/MSSCrollGuideView (fetched 2026-08-28T04:05:08.843521+00:00, sha beb06236e68c)
- Data as of 2026-08-30T08:39:29.467469+00:00.