Built and am still improving a public web tool to explore music as a graph instead of a list.
Artists, bands, albums, instruments, collaborations — all navigable as an interactive node network on top of MusicBrainz data.
Music isn’t linear. It’s a web. So this lets you wander it.
https://overtone.kernelpanic.lol
Check it out and let me know what you think, all feedback is welcome :)
#music #musicdiscovery #DataVisualization #graphs #MusicBrainz #IndieWeb #OpenData
@state I haven't (and probably won't) had time to do a thorough review, but it seems like you covered everything I would have expected! In particular being able to browse via band members and tags.
Though I would like to see EP's and singles, or even be able to load groups with no releases so that I can browse their members/tags. I haven't checked if you can browse things via more obscure or technical relationships like engineers, events etc.
@musicbrainz
Hi again! Sorry for the delay, I wanted to take some good time to reply!
First of all, I'm happy you had time to review it at all, so thanks for that :D I opted for using tags to represent genres everywhere. Genres themselves felt a bit limiting and having both displayed made a mess out of the visuals. I figured tags contributed by people would convey the same as the genres and even more. I hadn't thought about adding engineers, but events are definitely a must.
stateless
MusicBrainz