Maloja

Maloja is a comprehensive music scrobble database that provides a privacy-focused alternative to Last.fm. Built with Python, it offers detailed music listening statistics, analytics, and discovery features while keeping all your data under your control through self-hosting.

Key Features

• Comprehensive Music Scrobbling:

  • Complete music tracking and scrobble collection
  • Support for multiple music sources and players
  • Real-time listening tracking and recording
  • API integration with various music services
  • Automatic scrobble detection and processing
  • Comprehensive listening history management

• Advanced Statistics and Analytics:

  • Detailed listening statistics and metrics
  • Interactive charts and graphs
  • Time-based analysis and trends
  • Artist and album statistics
  • Comprehensive analytics dashboard
  • Historical data analysis and insights

• Music Discovery Features:

  • Music discovery based on listening patterns
  • Trend analysis and pattern recognition
  • Listening habit insights and recommendations
  • Music recommendation engine
  • Historical listening data exploration
  • Personal music journey visualization

• Intuitive Web Interface:

  • Modern web dashboard and interface
  • Interactive charts and data visualization
  • Responsive design for all devices
  • Beautiful data presentation and graphics
  • User-friendly navigation and controls
  • Comprehensive data exploration tools

• Privacy-Focused Design:

  • Complete self-hosted data control
  • Privacy-focused music tracking
  • No external data sharing or tracking
  • Full data ownership and control
  • Local data storage and processing
  • Enhanced privacy and security

• Modern Technical Foundation:

  • Python-based backend for reliability
  • SQLite database for simplicity
  • Docker container support for easy deployment
  • RESTful API for integration and extensibility
  • Extensible architecture for customization
  • Clean, maintainable codebase

• Self-Hosting Benefits:

  • Complete control over listening data
  • Privacy-focused music tracking
  • No external dependencies or services
  • Custom analytics and insights
  • Independence from commercial platforms
  • Enhanced security and data ownership

Technical Specifications

• Language: Python
• License: GPL-3.0
• Deployment: Python application, Docker
• Platforms: Cross-platform (web-based)
• Requirements: Python, web browser
• Database: SQLite
• Architecture: Python web application with embedded database

Use Cases

• Music Analytics: Personal music listening analysis
• Privacy-Conscious Users: Users wanting data control
• Last.fm Alternatives: Users seeking Last.fm replacement
• Music Discovery: Personal music discovery and insights
• Data Ownership: Users prioritizing data ownership
• Statistics Enthusiasts: Users interested in listening metrics

Unique Advantages

• Last.fm Alternative: Complete replacement for Last.fm
• Privacy-Focused: Self-hosted with complete data control
• Comprehensive Analytics: Detailed statistics and insights
• Python-Based: Reliable and extensible Python architecture
• Docker Ready: Easy containerized deployment
• Open Source: Transparent, customizable, and community-driven

Based on the Maloja GitHub repository, this tool provides users with a comprehensive music scrobbling and analytics platform that excels in privacy and data control, making it ideal for music enthusiasts who want a self-hosted alternative to Last.fm with detailed listening statistics, analytics, and complete control over their music tracking data.