🎵 TheMusicTree is an open-source music-tech ecosystem focused on practical tools for music metadata and genre discovery.
GrowTheMusicTree maps and explores music genres through an interactive, community-driven graph.
AudioMeta provides reliable audio metadata tooling (ID3, Vorbis, RIFF), with both Python and web workflows.
Built for developers, archivists, DJs, and curious listeners.
#OpenSource #MusicTech #AudioMetadata #GenreDiscovery #MusicGenres
| BehindTheMusicTree | https://github.com/behindthemusictree |
| https://www.linkedin.com/in/andreas-garcia/ | |
| Website | https://themusictree.org/ |
| AudioMeta Webapp | https://audiometa.themusictree.org/ |
🎵 AudioMeta Web App is live:
https://audiometa.themusictree.org/
It is a browser-based tool to read and edit audio metadata (ID3, Vorbis, RIFF), and it is based on AudioMeta Python. No local Python setup is required to use the web app:
#TheMusicTree
#MusicTech #OpenSource #AudioMetadata #ID3 #Vorbis #RIFF #Python #WebApp
🎵 AudioMeta Python 1.1.0 is out !
Library & CLI for audio metadata (MP3, FLAC, WAV).
New:
- opt-in include_raw_binary_data
- MusicBrainz Artist ID (read/write + CLI).
- Breaking: include_cover/--no-cover removed; use include_raw_binary_data=True for raw/cover.
PyPI: https://pypi.org/project/audiometa-python/
GitHub: https://github.com/BehindTheMusicTree/audiometa
#Python #audio #metadata #MusicBrainz #MP3 #FLAC #WAV #RIFF #ID3V1 #ID3V2
