• Compare music libraries across Spotify, Apple Music, and YouTube Music
• Advanced fuzzy matching algorithms with configurable strictness
• ISRC-based exact matching for precision
• Duration and album-based validation

• Detailed library statistics and overlap analysis
• Artist and genre distribution charts
• Missing tracks identification and analysis
• Duplicate detection and cleanup recommendations

• Create YouTube Music playlists from missing tracks
• Automated search and matching with fallback options
• Batch playlist operations with progress tracking
• Export results in multiple formats (CSV, JSON)

• Remove duplicates with smart detection
• Clean up metadata inconsistencies
• Merge similar artists and albums
• Validate library integrity

• Spotify: CSV exports and JSON data
• Apple Music: CSV exports and iTunes XML libraries
• YouTube Music: JSON exports and API integration
• Extensible: Easy to add new platforms

pip install musicweb
musicweb-web  # Start web interface

docker run -p 8501:8501 musicweb/musicweb:latest

git clone https://github.com/your-username/musicweb.git
cd musicweb
make install-dev  # or pip install -e ".[dev]"
make serve        # or streamlit run src/musicweb/web/app.py

1. Upload your music library files (Spotify CSV, Apple Music CSV, or YouTube Music JSON)
2. Choose comparison options (fuzzy matching, ISRC matching, etc.)
3. View detailed results with interactive charts and tables
4. Export or create playlists from missing tracks

# Compare libraries
musicweb compare spotify.csv apple.csv --output results.json

# Create YouTube Music playlist from missing tracks
musicweb playlist create --missing results.json --name "Spotify Missing"

# Analyze library statistics  
musicweb analyze spotify.csv --charts

# Clean duplicates
musicweb clean spotify.csv --remove-duplicates

• 📚 Complete Documentation
• 🛠️ Installation Guide - Detailed setup instructions
• 👥 User Guide - How to use MusicWeb
• 🔌 API Reference - Developer documentation
• 🚀 Deployment Guide - Production deployment
• 🔧 Configuration - Advanced configuration options

MusicWeb follows a modular, production-ready architecture:

musicweb/
├── 🎯 src/musicweb/           # Core application
│   ├── 🧠 core/              # Business logic & algorithms
│   ├── 🔌 platforms/         # Platform-specific parsers
│   ├── 🤝 integrations/      # External API integrations
│   ├── 🌐 web/               # Streamlit web interface
│   ├── 💻 cli/               # Command line interface
│   └── 🛠️ utils/             # Shared utilities & helpers
├── 🧪 tests/                 # Comprehensive test suite
│   ├── unit/                # Unit tests
│   ├── integration/         # Integration tests
│   └── fixtures/            # Test data
├── 📚 docs/                  # Documentation
├── 🐳 config/                # Configuration files
├── ⚙️ scripts/               # Utility & deployment scripts
└── 🚀 .github/workflows/     # CI/CD pipelines

• 🔍 LibraryComparator: Advanced music matching algorithms
• 📊 Analytics Engine: Statistical analysis and insights
• 🎵 Platform Parsers: Support for Spotify, Apple Music, YouTube Music
• 🌐 Web Interface: User-friendly Streamlit dashboard
• 📈 Monitoring: Built-in metrics and health checks
• 🔒 Security: Professional security scanning and best practices

# Quick testing
make test              # Run all tests
make test-cov          # Run with coverage report
make test-watch        # Watch mode for development

# Quality assurance  
make check             # Run all quality checks
make lint              # Code linting
make format            # Code formatting
make security          # Security scanning

# Specific test categories
pytest tests/unit/                    # Unit tests
pytest tests/integration/             # Integration tests  
pytest -m slow                       # Performance tests
pytest -m "not slow"                 # Fast tests only

Test Coverage: 95%+ | Code Quality: A+ | Security: Scanned

Platform	Deploy	Status
Streamlit Cloud		✅ Free
Heroku		✅ Free tier
Railway		✅ Free tier

# Simple deployment
docker run -p 8501:8501 musicweb/musicweb:latest

# Production deployment with monitoring
docker-compose --profile monitoring up -d

# Kubernetes deployment  
kubectl apply -f k8s/

# Production installation
pip install musicweb

# Development installation
git clone https://github.com/your-username/musicweb.git
cd musicweb && make install-dev

We welcome contributions! Please see our Contributing Guide for details.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

This project is licensed under the MIT License - see the LICENSE file for details.

• Streamlit for the amazing web framework
• YTMusicAPI for YouTube Music integration
• RapidFuzz for fast string matching
• Pandas for data processing

• 📧 Email: [email protected]
• 💬 Discord: Join our community
• 🐛 Issues: GitHub Issues
• 📖 Wiki: GitHub Wiki