Top Related Projects
MusicBrainz Picard audio file tagger
Music player and music library manager for Linux, Windows, and macOS
🙃 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.
Mopidy is an extensible music server written in Python
🐦 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
- 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()
- 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})")
- 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
-
Install beets:
pip install beets
-
Create a configuration file (
config.yaml
) in your user directory:directory: ~/Music library: ~/data/musiclibrary.db import: move: yes
-
Import your music:
beet import ~/path/to/music
-
Query your library:
beet ls artist:radiohead
Competitor Comparisons
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.
🙃 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).
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.
🐦 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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.. image:: https://img.shields.io/pypi/v/beets.svg :target: https://pypi.python.org/pypi/beets
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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, oracoustic fingerprints
_. - Get metadata from
MusicBrainz
,Discogs
, andBeatport
_. 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 foralbums 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.
- If your issue hasn't already been reported, please
- 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/
Top Related Projects
MusicBrainz Picard audio file tagger
Music player and music library manager for Linux, Windows, and macOS
🙃 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.
Mopidy is an extensible music server written in Python
🐦 A personal music streaming server that works.
Convert designs to code with AI
Introducing Visual Copilot: A new AI model to turn Figma designs to high quality code using your components.
Try Visual Copilot