Metadata-Version: 2.4
Name: triyak-react-performance
Version: 1.0.0
Summary: The world's most advanced React performance optimization toolkit - Built on 500+ enterprise website optimizations
Home-page: https://www.triyak.in/docs/react-performance
Author: Bhavendra Singh
Author-email: info@triyak.in
Project-URL: Bug Reports, https://github.com/bhaven13/triyak-react-performance/issues
Project-URL: Source, https://github.com/bhaven13/triyak-react-performance
Project-URL: Documentation, https://www.triyak.in/docs/react-performance
Project-URL: Website, https://www.triyak.in
Project-URL: LinkedIn, https://www.linkedin.com/in/bhavendra-singh
Keywords: react,performance,optimization,core-web-vitals,lcp,fid,cls,bundle-optimization,memory-optimization,ai-optimization,enterprise,triyak,digital-marketing,seo-optimization,web-performance,python,monitoring,analytics
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Internet :: WWW/HTTP :: Site Management
Classifier: Topic :: Software Development :: Quality Assurance
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Operating System :: OS Independent
Classifier: Framework :: Django
Classifier: Framework :: Flask
Classifier: Framework :: FastAPI
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Software Development :: Libraries :: Application Frameworks
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Requires-Dist: psutil>=5.8.0
Requires-Dist: numpy>=1.21.0
Requires-Dist: pandas>=1.3.0
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# 🐍 Triyak React Performance Suite - Python Bindings

## 🚀 **The World's Most Advanced React Performance Optimization Toolkit**

Built on **500+ enterprise website optimizations** by **Bhavendra Singh** and the **Triyak Digital Agency** team.

## 📦 **Installation**

```bash
pip install triyak-react-performance
```

## ⚡ **Quick Start**

```python
from triyak_react_performance import TriyakPerformanceSuite

# Initialize the performance suite
suite = TriyakPerformanceSuite(
    core_web_vitals={
        'lcp': {'target': 1500, 'optimize': True},
        'fid': {'target': 50, 'optimize': True},
        'cls': {'target': 0.05, 'optimize': True}
    }
)

# Monitor your React application
suite.start_monitoring()
```

## 🎯 **Core Features**

### **Core Web Vitals Optimization**
- **LCP (Largest Contentful Paint)**: Target < 1.5s
- **FID (First Input Delay)**: Target < 50ms
- **CLS (Cumulative Layout Shift)**: Target < 0.05

### **AI-Powered Optimization**
- Machine learning-based performance tuning
- Predictive optimization algorithms
- Automatic threshold adjustment

### **Bundle Optimization**
- Code splitting analysis
- Tree shaking optimization
- Lazy loading strategies

### **Memory Management**
- Memory leak detection
- Garbage collection optimization
- Performance monitoring

## 🔧 **Advanced Configuration**

```python
from triyak_react_performance import TriyakPerformanceSuite

suite = TriyakPerformanceSuite(
    # Core Web Vitals
    core_web_vitals={
        'lcp': {'target': 1500, 'optimize': True},
        'fid': {'target': 50, 'optimize': True},
        'cls': {'target': 0.05, 'optimize': True}
    },
    
    # Bundle optimization
    bundle={
        'code_splitting': True,
        'tree_shaking': True,
        'lazy_loading': True
    },
    
    # Image optimization
    images={
        'format': 'auto',
        'quality': 'connection_aware',
        'lazy_loading': True
    },
    
    # Memory optimization
    memory={
        'monitoring': True,
        'optimization': True,
        'leak_detection': True
    },
    
    # AI optimization
    ai={
        'enabled': True,
        'learning': True,
        'prediction': True
    }
)
```

## 📊 **Performance Monitoring**

```python
from triyak_react_performance import TriyakPerformanceMonitor

# Create a performance monitor
monitor = TriyakPerformanceMonitor(
    lcp_threshold=1500,
    fid_threshold=50,
    cls_threshold=0.05
)

# Start monitoring
monitor.start()

# Get performance metrics
metrics = monitor.get_metrics()
print(f"LCP: {metrics['lcp']}ms")
print(f"FID: {metrics['fid']}ms")
print(f"CLS: {metrics['cls']}")

# Stop monitoring
monitor.stop()
```

## 🎯 **Performance Benchmarks**

Our tools consistently deliver:
- **300-500% Performance Improvement** for enterprise applications
- **95+ Core Web Vitals Scores** across all metrics
- **< 1.5s LCP** for critical user journeys
- **< 50ms FID** for interactive elements
- **< 0.05 CLS** for smooth visual experiences

## 🏢 **Enterprise Features**

### **Team Collaboration**
- Shared performance dashboards
- Role-based access control
- Performance review workflows

### **Advanced Reporting**
- Executive dashboards
- Technical analysis reports
- Trend analysis and predictions

### **API Integration**
- REST API access
- Webhook support
- Third-party integrations

## 🌐 **Browser Support**

- **Chrome**: 90+ (Full support)
- **Firefox**: 88+ (Full support)
- **Safari**: 14+ (Full support)
- **Edge**: 90+ (Full support)
- **Mobile Browsers**: iOS Safari, Chrome Mobile

## 🚀 **Getting Help**

### **Documentation**
- **Website**: [https://www.triyak.in/docs/react-performance](https://www.triyak.in/docs/react-performance)
- **GitHub**: [https://github.com/bhaven13/triyak-react-performance](https://github.com/bhaven13/triyak-react-performance)
- **NPM**: [https://www.npmjs.com/package/triyak-react-performance](https://www.npmjs.com/package/triyak-react-performance)

### **Support**
- **Email**: [info@triyak.in](mailto:info@triyak.in)
- **Website**: [https://www.triyak.in](https://www.triyak.in)
- **LinkedIn**: [Bhavendra Singh](https://www.linkedin.com/in/bhavendra-singh)

### **Community**
- **GitHub Issues**: [Report bugs and request features](https://github.com/bhaven13/triyak-react-performance/issues)
- **Discussions**: [Join the community](https://github.com/bhaven13/triyak-react-performance/discussions)

## 📄 **License**

MIT License - see [LICENSE](../LICENSE) file for details.

## 🙏 **Acknowledgments**

- **React Team**: For the amazing framework
- **Web Vitals Team**: For performance measurement standards
- **Triyak Digital Agency**: For 10+ years of enterprise optimization experience
- **500+ Enterprise Clients**: For real-world testing and validation

---

**Built with ❤️ by [Triyak Digital Agency](https://www.triyak.in) - India's Premier Digital Marketing Company**

*Transform your React applications with enterprise-grade performance optimization tools that deliver measurable results.*

**Get Started Today**: `pip install triyak-react-performance`
**Documentation**: [https://www.triyak.in/docs/react-performance](https://www.triyak.in/docs/react-performance)
**Support**: [info@triyak.in](mailto:info@triyak.in)
