# dani-gavrilov/GDPerformanceView-Swift

Shows FPS, CPU and memory usage, device model, app and iOS versions above the status bar and report FPS, CPU and memory usage via delegate.

Repository: https://github.com/dani-gavrilov/GDPerformanceView-Swift
Canonical: https://ross.abutalabs.com/products/gdperformanceview-swift
Language: Swift
License: MIT
License Family: permissive
Last push: 2026-02-11T08:29:34+00:00

## Health v2 (maintenance only)
Score: 53/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 67, release rhythm 8, longevity 100
- inputs: {"age_days": 3528, "days_push": 203, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2276, forks 162 (observed 2026-08-28T04:06:33.459900+00:00)

## What it is
A Swift library for iOS that displays FPS, CPU and memory usage, device model, and app/iOS versions in an overlay above the status bar, with delegate-based reporting. It can be shown as a view or used headlessly for programmatic performance monitoring.

## Use cases
- monitor fps in an ios app during development
- track cpu and memory usage on device
- show device model and app version overlay
- report performance metrics via delegate
- debug app performance in real time

## When to choose
- you need an on-device performance overlay for iOS debugging
- you want programmatic FPS/CPU/memory metrics in Swift
- you prefer a lightweight drop-in monitor with CocoaPods or Carthage

## When to avoid
- you need performance monitoring on Android or cross-platform apps
- you need production analytics rather than a debug overlay
- your project targets platforms other than iOS

## Facets
- artifact type: library
- maturity: stable
- function: monitoring, developer-tools
- domain: mobile-development, performance, developer-tools
- platform: -
- tags: fps-monitoring, cpu-usage, memory-usage, debug-overlay, swift, cocoapods, carthage, ios, mobile

## Member repositories
- dani-gavrilov/GDPerformanceView-Swift (main) score 53

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:33.459900+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 2026-08-30T02:41:27.394862+00:00, confidence not recorded.
  - readme: https://github.com/dani-gavrilov/GDPerformanceView-Swift (fetched 2026-08-28T04:06:33.459900+00:00, sha b3d67027a8c6)
- Data as of 2026-08-30T08:39:29.467469+00:00.