react-perf-optimizer v1.0.5

react-perf-optimizer

A comprehensive React performance optimization toolkit that automatically detects, analyzes, and provides solutions for performance bottlenecks in your React applications.

Demo of what the code does

Features

🔍 Real-time Performance Monitoring

• Component render tracking
• Props change detection
• Memory usage analysis
• Bundle size monitoring
• Automatic bottleneck detection

⚡ Automated Optimization Suggestions

• Memoization opportunities
• Code splitting recommendations
• Component render optimization
• State management improvements
• Bundle size reduction tips

📊 Performance Visualization

• Component render tree
• Performance metrics dashboard
• Historical performance data
• Bundle size analysis
• Memory usage graphs

🔧 Developer Tools

• Chrome DevTools extension
• VS Code integration
• CI/CD pipeline integration
• Custom ESLint rules
• Performance regression testing

Installation

npm install react-perf-optimizer

# or with yarn
yarn add react-perf-optimizer

Quick Start

1. Wrap your app with the Performance Provider:

import { PerformanceProvider } from 'react-perf-optimizer';

function App() {
  return (
    <PerformanceProvider>
      <YourApp />
    </PerformanceProvider>
  );
}

2. Monitor specific components:

import { withPerformanceTracking } from 'react-perf-optimizer';

function MyComponent() {
  return <div>My Component</div>;
}

export default withPerformanceTracking(MyComponent);

3. Access performance metrics:

import { usePerformanceMetrics } from 'react-perf-optimizer';

function PerformancePanel() {
  const metrics = usePerformanceMetrics();
  return (
    <div>
      <h2>Performance Metrics</h2>
      <pre>{JSON.stringify(metrics, null, 2)}</pre>
    </div>
  );
}

CLI Commands

# Install the package
npm install react-perf-optimizer

# Analyze component with all features
npx react-perf-optimizer analyze ./src/components/MyComponent.js -r -m -p

# Remove comments and create backup
npx react-perf-optimizer analyze ./src/components/MyComponent.js -c

# Get memoization suggestions only
npx react-perf-optimizer analyze ./src/components/MyComponent.js -m

Configuration

Create a perf-optimizer.config.js file in your project root:

module.exports = {
  thresholds: {
    renderDuration: 16, // ms
    memoryUsage: 50 * 1024 * 1024, // 50MB
    bundleSize: 244 * 1024, // 244KB
  },
  monitoring: {
    enabled: true,
    interval: 1000,
    trackProps: true,
    trackState: true,
    trackEvents: true,
  },
};

PerformanceProvider

The root provider that enables performance monitoring.

<PerformanceProvider
  config={config}
  onAlert={handleAlert}
  onMetricsUpdate={handleMetricsUpdate}
>
  {children}
</PerformanceProvider>

withPerformanceTracking

HOC for monitoring individual components.

withPerformanceTracking(Component, options);

Options:

• trackProps: Boolean
• trackState: Boolean
• trackEvents: Boolean
• customMetrics: Array
• thresholds: Object

Hooks

// Get performance metrics
const metrics = usePerformanceMetrics();

// Track custom metrics
const track = usePerformanceTracker();

// Get optimization suggestions
const suggestions = useOptimizationSuggestions();

GitHub Actions

name: Performance Checks

on: [push, pull_request]

jobs:
  performance:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v2
      - name: Install dependencies
        run: npm install
      - name: Run performance tests
        uses: react-perf-optimizer/github-action@v1
        with:
          thresholds: |
            {
              "bundleSize": "244KB",
              "renderTime": "16ms"
            }

Best Practices

1. Component Optimization

   • Use memoization for expensive calculations
   • Implement React.memo for pure components
   • Optimize event handlers with useCallback
   • Use useMemo for expensive derivations

2. State Management

   • Keep state as local as possible
   • Use appropriate state management tools
   • Implement proper state splitting
   • Optimize context usage

3. Bundle Optimization

   • Implement code splitting
   • Use dynamic imports
   • Optimize dependencies
   • Configure proper splitting points

Contributing

1. Fork the repository
2. Create your feature branch
3. Submit a pull request

License

MIT © Divit Patidar