beetbox/beets
Beets
Beets is a command-line music library manager that automates the organization, standardization, and maintenance of digital audio collections. It functions as a relational database-backed system that identifies audio content through acoustic fingerprinting and retrieves accurate metadata from online databases to ensure consistent tagging and directory structures.
The project distinguishes itself through an event-driven pipeline architecture and a modular plugin system, which allow users to intercept and customize library processing workflows. This extensibility enables the integration of external data sources and custom logic, supporting tasks ranging from automated metadata enrichment to complex file system operations defined by declarative path templates.
Beyond its core management capabilities, the system includes tools for auditing library integrity by detecting duplicates and missing files. It also provides a built-in web server that enables remote browsing, searching, and streaming of the organized collection directly through a standard web browser, alongside integrated support for transcoding audio files between different formats.
Features
- Music Library Managers - Automates the organization and standardization of digital music libraries by matching files against online databases.
- Audio Tagging - Automatically corrects and standardizes audio file metadata by matching tracks against online music databases.
- Metadata Automators - Automates the retrieval and standardization of music metadata from online databases to ensure consistent library tagging.
- Output Path Templates - Uses declarative templates to map metadata fields to file system directory structures.
- Acoustic Fingerprinting Systems - Identifies audio content by generating and comparing unique digital signatures.
- Relational Metadata Storage - Uses a relational database to maintain persistent associations between audio files and metadata.
- Media Metadata Retrievers - Enriches audio files by retrieving supplemental data like album art, lyrics, and acoustic fingerprints.
- Music Streaming Interfaces - Provides a web-based interface for remote browsing, searching, and streaming of organized music collections.
- Plugin-Based Architectures - Employs a modular plugin architecture to allow interception and modification of processing workflows.
- Plugin Frameworks - Provides a modular plugin system to extend core functionality and integrate custom logic.
- Data Processing - Music library manager and metadata tagger.
- Datasets and Loaders - Music library manager and tagger.
- File Organization - Music library manager and metadata tagger.
- Metadata and Tagging - Media library management system for music collections.
- Audio and Video Processing - Manages music libraries and automates metadata tagging.
- Audio Processing - Music library manager and tagger.
- Audio Streaming - Music library manager with tagging capabilities.
- Audio Tools - Feature-rich CLI music library manager with tagging support.
- Audio Video Processing - Listed in the “Audio Video Processing” section of the Awesome Python awesome list.
- Media & Communication - Music library manager and tagger.
- Media Streaming - Listed in the “Media Streaming” section of the Awesome Selfhosted awesome list.
- Music Players - Media library management system for music collections.
- Library Integrity Auditors - Identifies duplicate tracks and missing files to maintain the health of the music collection.
- Event-Driven Pipelines - Executes sequential audio processing tasks through an event-driven pipeline architecture.
- Audio Streaming Engines - Streams local audio collections over a network for remote playback.
- Music Servers - Hosts a local web interface that enables remote browsing, searching, and streaming of the music collection.
- Web-Based Library Bridges - Provides remote access to library data via an integrated web server.
- Web Interfaces - Hosts a local web interface for searching, browsing, and streaming music collections.
- Format Converters - Includes integrated support for transcoding audio files between different formats to ensure playback compatibility.
- Metadata Querying - Allows modification of specific track metadata fields to maintain library consistency.
- Library Auditors - Identifies duplicate tracks and detects missing files to maintain the overall health and completeness of the music library.
