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music library manager and MusicBrainz tagger

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MusicBrainz Picard audio file tagger

Music player and music library manager for Linux, Windows, and macOS

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Mopidy is an extensible music server written in Python

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🐦 A personal music streaming server that works.

Quick Overview

Beets is a powerful and flexible music library manager and tagger. It's designed to automate the organization and metadata management of music collections, offering a command-line interface and a rich plugin ecosystem for customization and extended functionality.

Pros

  • Highly customizable with a wide range of plugins and configuration options
  • Accurate automatic metadata tagging using multiple sources
  • Flexible file naming and organization schemes
  • Active community and regular updates

Cons

  • Steep learning curve for advanced features and customization
  • Command-line interface may be intimidating for non-technical users
  • Can be slow when processing large libraries
  • Some features require additional setup or external dependencies

Code Examples

  1. Importing music into your library:
import beets

# Create a new library
lib = beets.Library('path/to/library.db')

# Import music files
importer = beets.importer.ImportSession(lib, paths=['path/to/music'])
importer.run()
  1. Querying the library:
import beets

# Open an existing library
lib = beets.Library('path/to/library.db')

# Query for albums by a specific artist
albums = lib.albums(beets.dbcore.query.MatchQuery('artist', 'The Beatles'))

for album in albums:
    print(f"{album.album} ({album.year})")
  1. Updating metadata for a track:
import beets

lib = beets.Library('path/to/library.db')

# Find a specific track
track = lib.items('title:Yesterday').get()

# Update metadata
track['artist'] = 'The Beatles'
track['album'] = 'Help!'
track['year'] = 1965

# Save changes
track.store()

Getting Started

  1. Install beets:

    pip install beets
    
  2. Create a configuration file (config.yaml) in your user directory:

    directory: ~/Music
    library: ~/data/musiclibrary.db
    import:
      move: yes
    
  3. Import your music:

    beet import ~/path/to/music
    
  4. Query your library:

    beet ls artist:radiohead
    

Competitor Comparisons

3,743

MusicBrainz Picard audio file tagger

Pros of Picard

  • User-friendly GUI for easier music tagging and organization
  • Supports a wide range of audio formats and tagging standards
  • Integrates directly with MusicBrainz database for accurate metadata

Cons of Picard

  • Less flexible for advanced automation and scripting
  • Limited command-line interface options
  • Slower processing speed for large music libraries

Code Comparison

Beets (Python):

from beets.plugins import BeetsPlugin

class ExamplePlugin(BeetsPlugin):
    def __init__(self):
        super(ExamplePlugin, self).__init__()
        self.register_listener('import', self.on_import)

    def on_import(self, lib, task):
        print(f"Imported: {task.item}")

Picard (Python):

PLUGIN_NAME = "Example Plugin"
PLUGIN_AUTHOR = "Your Name"
PLUGIN_VERSION = "0.1"

from picard.plugin import PluginPriority

class ExamplePlugin:
    def __init__(self):
        pass

    def process_album(self, album, metadata, release):
        print(f"Processing album: {metadata['album']}")

Both projects use Python, but Beets offers more extensive plugin capabilities and automation options, while Picard focuses on user-friendly GUI interactions and direct MusicBrainz integration.

Music player and music library manager for Linux, Windows, and macOS

Pros of Quodlibet

  • More comprehensive audio player functionality, including playback and library management
  • Supports a wider range of audio formats out of the box
  • Offers a graphical user interface for easier interaction

Cons of Quodlibet

  • Less focused on music organization and tagging compared to Beets
  • May be more complex for users primarily interested in library management
  • Slower development pace and less frequent updates

Code Comparison

Beets (Python):

from beets.plugins import BeetsPlugin

class ExamplePlugin(BeetsPlugin):
    def __init__(self):
        super(ExamplePlugin, self).__init__()
        self.register_listener('import', self.on_import)

    def on_import(self, lib, task):
        print("New item imported:", task.item)

Quodlibet (Python):

from quodlibet import app
from quodlibet.plugins.events import EventPlugin

class ExamplePlugin(EventPlugin):
    PLUGIN_ID = "example_plugin"
    PLUGIN_NAME = "Example Plugin"

    def enabled(self):
        print("Plugin enabled")

Both projects use Python and follow a plugin-based architecture. Beets focuses on library management events, while Quodlibet integrates more closely with the audio player functionality.

174,642

🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool that makes it easy to keep up with the latest updates from the community.

Pros of Oh My Zsh

  • Extensive plugin ecosystem with over 300 built-in plugins
  • Active community with frequent updates and contributions
  • Easy customization of shell appearance and functionality

Cons of Oh My Zsh

  • Can slow down shell startup time, especially with many plugins
  • Potential security risks from third-party plugins and themes
  • Steeper learning curve for users new to Zsh

Code Comparison

Oh My Zsh (theme customization):

ZSH_THEME="robbyrussell"
plugins=(git docker kubectl)
source $ZSH/oh-my-zsh.sh

Beets (music library configuration):

directory: ~/Music
import:
    move: yes
plugins: fetchart lyrics lastgenre

Summary

Oh My Zsh is a popular framework for managing Zsh configurations, offering extensive customization options and a large plugin ecosystem. It's ideal for users who want to enhance their command-line experience but may introduce performance overhead.

Beets, on the other hand, is a music library management system focused on organizing and tagging music collections. It provides a different set of features tailored to music enthusiasts and doesn't directly compete with Oh My Zsh in functionality.

While both projects are open-source and have active communities, they serve different purposes and are not directly comparable in terms of functionality. The choice between them depends on whether you're looking to enhance your shell experience (Oh My Zsh) or manage your music library (Beets).

8,034

Mopidy is an extensible music server written in Python

Pros of Mopidy

  • Supports multiple audio backends and streaming services
  • Extensible plugin architecture for added functionality
  • Real-time playback control and streaming capabilities

Cons of Mopidy

  • Requires more setup and configuration compared to Beets
  • Focused on playback rather than library management
  • May have higher resource usage due to its server-based architecture

Code Comparison

Mopidy (Python):

from mopidy import core

class MyFrontend(pykka.ThreadingActor, core.CoreListener):
    def track_playback_started(self, tl_track):
        print(f"Now playing: {tl_track.track.name}")

Beets (Python):

from beets import plugins

class MyPlugin(plugins.BeetsPlugin):
    def commands(self):
        cmd = ui.Subcommand('mycommand')
        cmd.func = self.my_command
        return [cmd]

Both projects use Python and offer plugin systems, but Mopidy focuses on real-time playback events, while Beets emphasizes command-line interactions for music library management.

Mopidy is better suited for building music streaming applications with various audio sources, while Beets excels at organizing and tagging local music collections. The choice between them depends on whether you prioritize playback features or library management capabilities.

15,964

🐦 A personal music streaming server that works.

Pros of Koel

  • Web-based interface for easy access from any device
  • Built-in streaming capabilities for remote music playback
  • Modern, responsive design with a user-friendly interface

Cons of Koel

  • Limited metadata management compared to Beets' extensive tagging system
  • Fewer advanced features for music organization and library management
  • Requires more setup and infrastructure (web server, database) than Beets

Code Comparison

Beets (Python):

def move_file(path, dest):
    if not util.samefile(path, dest):
        return util.move(path, dest)
    return False

Koel (PHP):

public function move(string $from, string $to): void
{
    if (!rename($from, $to)) {
        throw new RuntimeException("Unable to move file $from to $to");
    }
}

Both projects handle file moving operations, but Beets uses a utility function and checks for same file, while Koel uses PHP's built-in rename function and throws an exception on failure.

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README

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beets

Beets is the media library management system for obsessive music geeks.

The purpose of beets is to get your music collection right once and for all. It catalogs your collection, automatically improving its metadata as it goes. It then provides a bouquet of tools for manipulating and accessing your music.

Here's an example of beets' brainy tag corrector doing its thing::

$ beet import ~/music/ladytron Tagging: Ladytron - Witching Hour (Similarity: 98.4%)

  • Last One Standing -> The Last One Standing
  • Beauty -> Beauty*2
  • White Light Generation -> Whitelightgenerator
  • All the Way -> All the Way...

Because beets is designed as a library, it can do almost anything you can imagine for your music collection. Via plugins_, beets becomes a panacea:

  • Fetch or calculate all the metadata you could possibly need: album art, lyrics, genres, tempos, ReplayGain_ levels, or acoustic fingerprints_.
  • Get metadata from MusicBrainz, Discogs, and Beatport_. Or guess metadata using songs' filenames or their acoustic fingerprints.
  • Transcode audio_ to any format you like.
  • Check your library for duplicate tracks and albums_ or for albums that are missing tracks_.
  • Clean up crufty tags left behind by other, less-awesome tools.
  • Embed and extract album art from files' metadata.
  • Browse your music library graphically through a Web browser and play it in any browser that supports HTML5 Audio_.
  • Analyze music files' metadata from the command line.
  • Listen to your library with a music player that speaks the MPD_ protocol and works with a staggering variety of interfaces.

If beets doesn't do what you want yet, writing your own plugin_ is shockingly simple if you know a little Python.

.. _plugins: https://beets.readthedocs.org/page/plugins/ .. _MPD: https://www.musicpd.org/ .. _MusicBrainz music collection: https://musicbrainz.org/doc/Collections/ .. _writing your own plugin: https://beets.readthedocs.org/page/dev/plugins.html .. _HTML5 Audio: https://html.spec.whatwg.org/multipage/media.html#the-audio-element .. _albums that are missing tracks: https://beets.readthedocs.org/page/plugins/missing.html .. _duplicate tracks and albums: https://beets.readthedocs.org/page/plugins/duplicates.html .. _Transcode audio: https://beets.readthedocs.org/page/plugins/convert.html .. _Discogs: https://www.discogs.com/ .. _acoustic fingerprints: https://beets.readthedocs.org/page/plugins/chroma.html .. _ReplayGain: https://beets.readthedocs.org/page/plugins/replaygain.html .. _tempos: https://beets.readthedocs.org/page/plugins/acousticbrainz.html .. _genres: https://beets.readthedocs.org/page/plugins/lastgenre.html .. _album art: https://beets.readthedocs.org/page/plugins/fetchart.html .. _lyrics: https://beets.readthedocs.org/page/plugins/lyrics.html .. _MusicBrainz: https://musicbrainz.org/ .. _Beatport: https://www.beatport.com

Install

You can install beets by typing pip install beets or directly from Github (see details here). Beets has also been packaged in the software repositories of several distributions. Check out the Getting Started_ guide for more information.

.. _here: https://beets.readthedocs.io/en/latest/faq.html#run-the-latest-source-version-of-beets .. _Getting Started: https://beets.readthedocs.org/page/guides/main.html .. _software repositories: https://repology.org/project/beets/versions

Contribute

Thank you for considering contributing to beets! Whether you're a programmer or not, you should be able to find all the info you need at CONTRIBUTING.rst_.

.. _CONTRIBUTING.rst: https://github.com/beetbox/beets/blob/master/CONTRIBUTING.rst

Read More

Learn more about beets at its Web site. Follow @b33ts on Mastodon for news and updates.

.. _its Web site: https://beets.io/ .. _@b33ts: https://fosstodon.org/@beets

Contact

  • Encountered a bug you'd like to report? Check out our issue tracker_!
    • If your issue hasn't already been reported, please open a new ticket_ and we'll be in touch with you shortly.
    • If you'd like to vote on a feature/bug, simply give a :+1: on issues you'd like to see prioritized over others.
  • Need help/support, would like to start a discussion, have an idea for a new feature, or would just like to introduce yourself to the team? Check out GitHub Discussions_!

.. _GitHub Discussions: https://github.com/beetbox/beets/discussions .. _issue tracker: https://github.com/beetbox/beets/issues .. _open a new ticket: https://github.com/beetbox/beets/issues/new/choose

Authors

Beets is by Adrian Sampson_ with a supporting cast of thousands.

.. _Adrian Sampson: https://www.cs.cornell.edu/~asampson/