Disclaimer: This project is not affiliated with Pioneer Corp. or its related companies in any way and has been written independently! Pyrekordbox is licensed under the MIT license. The maintainers of the project are not liable for any damages to your Rekordbox library.
Pyrekordbox is a Python package for interacting with the library and export data of Pioneers Rekordbox DJ Software. It currently supports
Tested Rekordbox versions: 5.8.6 | 6.5.3 | 6.7.7
⚠️ | This project is still under development and might contain bugs or have breaking API changes in the future. Check the changelog for recent changes! |
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Pyrekordbox is available on PyPI:
pip install pyrekordbox
Alternatively, it can be installed via GitHub
pip install git+https://github.com/dylanljones/pyrekordbox.git@VERSION
where VERSION
is a release, tag or branch name.
Unlocking the new Rekordbox 6 master.db
database file requires SQLCipher.
Pyrekordbox makes no attempt to download/install SQLCipher, as it is a
pure Python package - whereas the SQLCipher/sqlcipher3 installation is
platform-dependent and can not be installed via pip
.
SQLCipher can be used by building the libary against an amalgamation with sqlcipher3. For a detailed instruction, see the installation guide.
For MacOS follow these steps:
1) Install Homebrew if you do not have it on your machine.
2) Install SQLCipher with brew install SQLCipher
.
3) With the python environment you are using to run pyrekordbox active execute the following:
git clone https://github.com/coleifer/sqlcipher3
cd sqlcipher3
SQLCIPHER_PATH=$(brew info sqlcipher | awk 'NR==4 {print $1; exit}'); C_INCLUDE_PATH="$SQLCIPHER_PATH"/include LIBRARY_PATH="$SQLCIPHER_PATH"/lib python setup.py build
SQLCIPHER_PATH=$(brew info sqlcipher | awk 'NR==4 {print $1; exit}'); C_INCLUDE_PATH="$SQLCIPHER_PATH"/include LIBRARY_PATH="$SQLCIPHER_PATH"/lib python setup.py install
Make sure the C_INCLUDE
and LIBRARY_PATH
point to the installed SQLCipher path. It may differ on your machine.
If you are having issues installing sqlcipher3 on M1 Macs please refer to the
installation guide.
Read the full documentation on ReadTheDocs!
❗ | Please make sure to back up your Rekordbox collection before making changes with pyrekordbox or developing/testing new features. The backup dialog can be found under "File" > "Library" > "Backup Library" |
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Pyrekordbox looks for installed Rekordbox versions and sets up the configuration automatically. The configuration can be checked by calling:
from pyrekordbox import show_config
show_config()
If for some reason the configuration fails the values can be updated by providing the
paths to the directory where Pioneer applications are installed (pioneer_install_dir
)
and to the directory where Pioneer stores the application data (pioneer_app_dir
)
from pyrekordbox.config import update_config
update_config("<pioneer_install_dir>", "<pioneer_app_dir>")
Alternatively the two paths can be specified in a configuration file under the section
rekordbox
. Supported configuration files are pyproject.toml, setup.cfg, pyrekordbox.toml,
pyrekordbox.cfg and pyrekordbox.yaml.
Rekordbox 6 now uses a SQLite database for storing the collection content.
Unfortunatly, the new master.db
SQLite database is encrypted using
SQLCipher, which means it can't be used without the encryption key.
However, since your data is stored and used locally, the key must be present on the
machine running Rekordbox.
Pyrekordbox can unlock the new Rekordbox master.db
SQLite database and provides
an easy interface for accessing the data stored in it:
from pyrekordbox import Rekordbox6Database
db = Rekordbox6Database()
for content in db.get_content():
print(content.Title, content.Artist.Name)
playlist = db.get_playlist()[0]
for song in playlist.Songs:
content = song.Content
print(content.Title, content.Artist.Name)
Fields in the Rekordbox database that are stored without linking to other tables can be changed via the corresponding property of the object:
content = db.get_content()[0]
content.Title = "New Title"
Some fields are stored as references to other tables, for example the artist of a track. Check the documentation of the corresponding object for more information. So far only a few tables support adding or deleting entries:
DjmdPlaylist
: Playlists/Playlist FoldersDjmdSongPlaylist
: Songs in a playlistDjmdAlbum
: AlbumsDjmdArtist
: ArtistsDjmdGenre
: GenresDjmdLabel
: LabelsIf the automatic key extraction fails the command line interface of pyrekordbox
provides a command for downloading the key from known sources and writing it to the
cache file:
python -m pyrekordbox download-key
Once the key is cached the database can be opened without providing the key. The key can also be provided manually:
db = Rekordbox6Database(key="<insert key here>")
The Rekordbox XML database is used for importing (and exporting) Rekordbox collections including track metadata and playlists. They can also be used to share playlists between two databases.
Pyrekordbox can read and write Rekordbox XML databases.
from pyrekordbox.rbxml import RekordboxXml
xml = RekordboxXml("database.xml")
track = xml.get_track(0) # Get track by index (or TrackID)
track_id = track.TrackID # Access via attribute
name = track["Name"] # or dictionary syntax
path = "/path/to/file.mp3"
track = xml.add_track(path) # Add new track
track["Name"] = "Title" # Add attributes to new track
track["TrackID"] = 10 # Types are handled automatically
# Get playlist (folder) by path
pl = xml.get_playlist("Folder", "Sub Playlist")
keys = pl.get_tracks() # Get keys of tracks in playlist
ktype = pl.key_type # Key can either be TrackID or Location
# Add tracks and sub-playlists (folders)
pl.add_track(track.TrackID)
pl.add_playlist("Sub Sub Playlist")
Rekordbox stores analysis information of the tracks in the collection in specific files,
which also get exported to decives used by Pioneer professional DJ equipment. The files
have names like ANLZ0000
and come with the extensions .DAT
, .EXT
or .2EX
.
They include waveforms, beat grids (information about the precise time at which
each beat occurs), time indices to allow efficient seeking to specific positions
inside variable bit-rate audio streams, and lists of memory cues and loop points.
Pyrekordbox can parse all three analysis files, although not all the information of the tracks can be extracted yet.
from pyrekordbox.anlz import AnlzFile
anlz = AnlzFile.parse_file("ANLZ0000.DAT")
beat_grid = anlz.get("beat_grid")
path_tags = anlz.getall_tags("path")
Changing and creating the Rekordbox analysis files is planned as well, but for that the full structure of the analysis files has to be understood.
Unsupported ANLZ tags:
Rekordbox stores the user settings in *SETTING.DAT
files, which get exported to USB
devices. These files are either in the PIONEER
directory of a USB drive
(device exports), but are also present for on local installations of Rekordbox 6.
The setting files store the settings found on the "DJ System" > "My Settings" page of
the Rekordbox preferences. These include language, LCD brightness, tempo fader range,
crossfader curve and other settings for Pioneer professional DJ equipment.
Pyrekordbox supports both parsing and writing My-Setting files.
from pyrekordbox.mysettings import read_mysetting_file
mysett = read_mysetting_file("MYSETTINGS.DAT")
sync = mysett.get("sync")
quant = mysett.get("quantize")
The DEVSETTING.DAT
file is still not supported
A summary of the Rekordbox file formats can be found in the documentation:
If you encounter an issue or want to contribute to pyrekordbox, please feel free to get in touch,
open an issue or create a new pull request! A guide for contributing to
pyrekordbox
and the commit-message style can be found in
CONTRIBUTING.
For general questions or discussions about Rekordbox, please use GitHub Discussions instead of opening an issue.
Pyrekordbox is tested on Windows and MacOS, however some features can't be tested in the CI setup since it requires a working Rekordbox installation.