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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
Hey, this seems like a really cool idea, and I’d love to check it out more.
I think it’s breaking on my iPhone though 😟
But I’ll double check on a desktop when I can.
How are you pulling and analyzing this info from MusicBrainz?
@benpate Answering your question, I have a full DB downloaded on the server, which is why it's that fast. Previously it was running off their API directly, which is pretty slow, so I figured I'd need to have the full thing. Backend is Python, frontend uses https://github.com/vasturiano/react-force-graph , which is pure awesome
Thanks! It’s a very cool way of exploring related music!
@benpate Sorry about that! Got it up and running again :)
