Alternatives to Headphones
Headphones is an automated music downloader for NZB and Torrent networks. Written in Python, it supports multiple download clients including SABnzbd, NZBget, Transmission, µTorrent, Deluge and Blackhole, providing comprehensive music library automation. Find open source and proprietary alternatives that serve similar purposes.
Self-hosted alternatives to Headphones
Open source projects that can replace Headphones:
Beets
Beets is a powerful music library manager and automatic tagger that brings order to your music collection. With deep MusicBrainz integration and flexible organization tools, it provides both command-line and web interfaces for comprehensive music library management, metadata correction, and intelligent organization.
Key Features
-
Comprehensive Library Management:
- Intelligent music collection organization
- Automatic tagging with MusicBrainz database
- Duplicate detection and management
- Smart file renaming and organization
- Flexible directory structure management
- Batch processing capabilities
-
Advanced Metadata Management:
- Deep MusicBrainz integration for accurate metadata
- Automatic metadata fetching and correction
- Comprehensive tag editing and management
- Album art downloading and management
- Lyrics integration and fetching
- Custom metadata field support
-
Flexible Interfaces:
- Powerful command-line interface for automation
- Modern web interface for browsing and management
- Extensive plugin system for customization
- Scripting support for advanced workflows
- Batch operation capabilities
- Query-based music discovery
-
Audio Processing:
- Format conversion and transcoding
- ReplayGain calculation and normalization
- Audio analysis and quality assessment
- Lossless and lossy format support
- Encoding optimization
- Audio fingerprinting
-
Smart Organization:
- Dynamic smart playlist generation
- Custom field creation and management
- Flexible file naming templates
- Path template customization
- Advanced query system for music discovery
- Intelligent categorization
-
Extensible Platform:
- Rich plugin ecosystem for extended functionality
- Integration with external tools and services
- API access for third-party applications
- Import/export capabilities
- Database management and backup
- Custom workflow automation
-
Self-Hosting Benefits:
- Complete control over music library
- Privacy-focused music management
- No cloud dependencies
- Custom organization schemes
- Enhanced metadata accuracy
- Professional library management
Technical Specifications
- Language: Python
- License: MIT
- Deployment: Python package, deb package
- Platforms: Cross-platform (Linux, macOS, Windows)
- Requirements: Python, music files
- Database: SQLite
- Architecture: Python application with plugin system
Use Cases
- Music Collectors: Large music collection organization
- Audiophiles: High-quality music library management
- DJs: Professional music library organization
- Music Archivists: Digital music preservation and cataloging
- Metadata Enthusiasts: Accurate music tagging and organization
- Automation Users: Scripted music library management
Unique Advantages
- MusicBrainz Integration: Accurate, crowd-sourced metadata
- Dual Interface: Both command-line and web access
- Plugin Ecosystem: Extensive customization options
- Flexible Organization: Highly customizable file organization
- Open Source: Transparent and community-driven
- Python-Based: Easy to extend and customize
Based on the Beets GitHub repository, this tool provides users with a sophisticated music library management solution that excels in metadata accuracy and organization flexibility, making it ideal for music collectors, audiophiles, and anyone who wants professional-grade music library management with automatic tagging and intelligent organization capabilities.
Lidarr
Lidarr is a sophisticated music collection manager designed specifically for Usenet and BitTorrent users who want to automate their music library building and maintenance. It provides intelligent monitoring of artists and albums, automatic quality upgrades, and comprehensive metadata management for serious music collectors.
Key Features
-
Comprehensive Artist and Album Monitoring:
- Intelligent artist tracking and monitoring
- Automatic album release detection
- Missing album identification and search
- Discography management and completion
- Release calendar and scheduling
- Continuous monitoring for new content
-
Advanced Download Automation:
- Usenet integration with multiple indexers
- BitTorrent support and management
- RSS feed monitoring and processing
- Multiple download client support
- Automatic search and acquisition
- Queue management and prioritization
-
Intelligent Quality Management:
- Customizable quality profiles and standards
- Audio format selection and management
- Bitrate optimization and preferences
- Automatic quality upgrade detection
- Custom format definitions and rules
- Quality scoring and comparison
-
Sophisticated Library Organization:
- Automatic file organization and naming
- Metadata extraction and management
- Artist information and biography integration
- Album artwork downloading and organization
- Library structure optimization
- Duplicate detection and handling
-
Comprehensive Monitoring and Analytics:
- Visual calendar view of releases
- Real-time activity tracking and monitoring
- Detailed history logging and reporting
- Library statistics and analytics
- System health checks and alerts
- Performance monitoring and optimization
-
Extensive Integration Capabilities:
- MusicBrainz API for accurate metadata
- Last.fm integration for enhanced information
- Comprehensive notification system
- RESTful API for third-party integration
- Plugin support and extensibility
- Cross-platform compatibility
-
Self-Hosting Benefits:
- Complete control over music collection and automation
- Privacy protection for music preferences and data
- Custom quality standards and organization rules
- Integration with existing download infrastructure
- No dependency on streaming services
- Enhanced music library ownership and management
Technical Specifications
- License: GPL-3.0
- Deployment: Docker containers, native binaries
- Platforms: Cross-platform (Linux, macOS, Windows)
- Requirements: .NET runtime, download clients
- Database: SQLite
- Architecture: C# application with web interface
Use Cases
- Music Collection Building: Systematic building of comprehensive music libraries
- Quality Upgrades: Automatic improvement of existing music quality
- Release Monitoring: Tracking new releases from favorite artists
- Library Maintenance: Organizing and managing large music collections
- Discography Completion: Finding and acquiring missing albums
- Format Standardization: Ensuring consistent audio formats and quality
Unique Advantages
- Music-Specialized: Purpose-built for music collection management
- Quality-Focused: Advanced quality management and upgrade capabilities
- Metadata-Rich: Comprehensive music metadata and information
- Automation-First: Intelligent automation with minimal manual intervention
- Professional-Grade: Enterprise-level features for serious collectors
- Open Source: GPL-3.0 licensed, transparent and customizable
Based on the Lidarr GitHub repository, this tool provides users with a professional-grade music collection management solution that excels in automation and quality control, making it ideal for music enthusiasts, audiophiles, and collectors who need systematic, high-quality music library building and maintenance.
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