fluttrace 1.0.3

Production-grade frame timing analytics for Flutter. p50/p95/p99 metrics, jank detection, and a pluggable transport pipeline.

fluttrace

A lightweight, production-safe Flutter package for real-time frame timing analytics. fluttrace provides a modular architecture to collect, aggregate, and visualize performance metrics directly in your app without relying on external dependencies.

Features

• Real-time Performance HUD: A customizable, clickable-through overlay widget to display frame statistics live.
• Detailed Metrics: Automatic aggregation of p50, p95, and p99 frame times.
• Jank Detection: Alerts you when frame times exceed customizable thresholds.
• Pluggable Transports: Easily export performance reports to console, analytics, or custom endpoints.
• Zero External Dependencies: Built entirely with standard Flutter APIs.

Installation

Add fluttrace to your pubspec.yaml:

dependencies:
  fluttrace: ^1.0.0

Then run flutter pub get.

Getting Started

1. Initialize Fluttrace

Before running your app, initialize the performance monitor and attach any desired transports (e.g., ConsolePerfTransport):

import 'package:flutter/material.dart';
import 'package:fluttrace/fluttrace.dart';

void main() async {
  WidgetsFlutterBinding.ensureInitialized();
  
  // Add a transport to log performance metrics
  Fluttrace.instance.addTransport(ConsolePerfTransport());
  
  // Start the engine
  await Fluttrace.instance.start();
  
  runApp(const MyApp());
}

2. Add the Performance Overlay

Wrap your app's root widget (or the builder of your MaterialApp) with FluttraceOverlay to see real-time metrics on screen:

class MyApp extends StatelessWidget {
  const MyApp({super.key});

  @override
  Widget build(BuildContext context) {
    return MaterialApp(
      title: 'Fluttrace Example',
      builder: (context, child) => FluttraceOverlay(child: child!),
      home: const MyHomePage(),
    );
  }
}

Metrics Glossary

Fluttrace collects the following metrics:

Frame Phase Timings

Raw timings for an individual frame:

• UI (uiMs): Time spent executing Dart code on the main UI thread (building widgets, layout, paint).
• RASTER (rasterMs): Time spent by the Flutter engine (GPU) to draw the frame to the screen.
• TOTAL (totalMs): The total wall-clock duration of a single frame (UI + Raster).

Aggregated Metrics

Statistics calculated over a recent batch of frames (sliding window):

• FPS: Frames Per Second, calculated as (Number of Frames * 1000) / Active Time, capped at the target framerate (e.g., 60).
• p50 (Median): The 50th percentile of total frame times. 50% of frames rendered faster than this value.
• p95 / p99: The 95th and 99th percentiles of frame times. High values here indicate stuttering and outlier jank spikes.

Jank & Dropped Frames

• Jank: A frame is considered "janky" if its total time exceeds the budget (e.g., > 16.6ms on a 60Hz display).
• Jank Rate: The percentage of frames in the current window that were janky (e.g., 0.05 = 5%).
• Dropped Frames: An estimate of completely missed screen refreshes due to janky frames.

Custom Transports

You can easily build custom transports to send metrics to your analytics backend (e.g., Firebase, Datadog) by implementing the PerfTransport interface:

import 'package:fluttrace/fluttrace.dart';

class MyAnalyticsTransport implements PerfTransport {
  @override
  Future<void> send(FrameReport report) async {
    // Send p50, p95, p99 to your analytics service
  }

  @override
  Future<void> onAlert(FrameAlert alert) async {
    // Report jank spikes to your analytics service
  }
  
  @override
  Future<void> dispose() async {
    // Clean up resources if necessary
  }
}

HUD Controller

You can programmatically adjust the level of detail displayed in the overlay using the FluttraceHudController:

// Levels: 0 = Off, 1 = Basic, 2 = Detailed, 3 = Advanced
FluttraceHudController.instance.setLevel(2);

Or you can use the built-in slider widget in your UI:

const FluttraceHudLevelSlider()

License

This project is licensed under the MIT License.