Alternatives to Lidarr

Self-hosted alternatives to Lidarr

Open source projects that can replace Lidarr:

Beets

13,529

MIT

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.

Headphones

3,476

GPL-3.0

Headphones is a comprehensive automated music downloader designed to manage and expand music libraries through NZB and torrent networks. Built with Python and supporting multiple download clients, it provides intelligent music acquisition with artist monitoring, release tracking, and quality management for serious music collectors.

Key Features

Comprehensive Download Support:
- NZB and torrent network integration
- Multiple download client compatibility
- Automatic search and acquisition
- Quality-based selection criteria
- Resume and retry capabilities
- Bandwidth management and optimization
Multiple Client Integration:
- SABnzbd integration for NZB downloads
- NZBget support for efficient processing
- Transmission torrent client support
- µTorrent compatibility and integration
- Deluge torrent client support
- Blackhole functionality for custom setups
Intelligent Music Management:
- Artist monitoring and tracking
- Album release detection and notification
- Missing track identification and acquisition
- Music library organization and structure
- Metadata extraction and management
- Duplicate detection and handling
Advanced Automation:
- Automatic download scheduling and execution
- Continuous release monitoring and updates
- Quality upgrade detection and processing
- Missing content identification and search
- Background processing and queue management
- Error handling and retry mechanisms
Flexible Configuration:
- Customizable download preferences and criteria
- Quality settings and format selection
- Download client configuration and management
- Search provider setup and optimization
- Custom rules and filtering options
- Priority and scheduling configuration
Music Library Features:
- Comprehensive music database management
- Artist information and biography integration
- Album details and track listing management
- Artwork downloading and organization
- Library statistics and reporting
- Search and browse functionality
Self-Hosting Benefits:
- Complete control over music acquisition and library
- Privacy protection for music collection preferences
- Custom configuration for specific music tastes
- Integration with existing download infrastructure
- No dependency on streaming services
- Enhanced music library ownership and control

Technical Specifications

License: GPL-3.0
Deployment: Python application
Platforms: Cross-platform (Linux, macOS, Windows)
Requirements: Python, download clients
Database: SQLite
Architecture: Python automation service with web interface

Use Cases

Music Collection: Automated building of comprehensive music libraries
Release Monitoring: Tracking new releases from favorite artists
Quality Upgrades: Automatic improvement of existing music quality
Archive Building: Creating extensive music archives and collections
Missing Content: Finding and acquiring missing albums and tracks
Library Management: Organizing and maintaining large music collections

Unique Advantages

Multi-Client Support: Compatibility with various download clients
Music-Focused: Specifically designed for music acquisition and management
Automation: Intelligent monitoring and automatic downloading
Quality Management: Quality-based selection and upgrade capabilities
Flexible Integration: Support for both NZB and torrent networks
Open Source: GPL-3.0 licensed, transparent and customizable

Based on the Headphones GitHub repository, this tool provides users with a comprehensive music automation solution that excels in intelligent acquisition and library management, making it ideal for music enthusiasts, collectors, and audiophiles who need systematic music library building and maintenance.