ListenBrainz VS Every Noice at Once

There's also ListenBrainz, run by the MusicBrainz org, which offers similar functionality without API restrictions or other paid features that Last.FM tries to push. https://listenbrainz.org/ If you wish to use your scrobble data at all programmatically this is a far better tool to use. - Source: Hacker News / 3 months ago

If you really <3 clean data you can give listenbrainz.org a go (you can scrobble to that and last.fm concurrently so no need to ‘jump ship’). Source: 8 months ago

Thanks for sharing, yea listenbrainz.org has been doing some great work. Also has an API which can make things interesting. Source: 10 months ago

One way I keep up is using https://listenbrainz.org/ to track my listening habits. Then when you're logged in https://listenbrainz.org/explore/fresh-releases/ will show new releases from artists you listen to, and with KPop you can assume there is video(s) to go with each new release so I just go to youtube then to find them. Source: 11 months ago

Spotify at least was the problem when there was tons of people complaining daily. But if last.fm is the problem now and otherwise you could try https://listenbrainz.org/ as well. You can even import your last.fm history. Source: 11 months ago

I see this in https://everynoise.com/#updates > 2024-01-05 status update: With my layoff from Spotify on 2023-12-04, I lost the internal data-access required for ongoing updates to many parts of this site. Most of this, as a result, is now a static snapshot of what, for now, will be the final state from the site's 10-year history and evolution, hosted on my own server. Some pieces may get disabled and reenabled... - Source: Hacker News / 9 days ago

Anyone aware of a similar feature for foobar2000? I have an extensive library mostly tagged from Discogs, including release IDs. In theory, this should be sufficient to cluster music by genres, pull similar releases from Discogs "similar" feature and correlate data from https://everynoise.com. Obviously, in case of album mixed genres things will mix up, but I'm not sure there's a model that can correlate existing... - Source: Hacker News / 26 days ago

The article mentions Glenn McDonald's musical genre page (https://everynoise.com/, no longer refreshing with new Spotify data) as an example of a flexible graph-like exploration format, without being burdened by explicit connections. The author also has a thorough description of pros and cons of the general concept. - Source: Hacker News / 4 months ago

This is from Glenn McDonald's blog, founder of "Every Noise at Once". He was laid off from Spotify (discussed here briefly [0]) --- https://everynoise.com/ is now in "archival copy" mode [1][2]. Super sad to read / see this. [0] https://news.ycombinator.com/item?id=38650917 [2] https://twitter.com/EveryNoise/status/1736086849339244935. - Source: Hacker News / 5 months ago

Data exported using: https://benjaminbenben.com/lastfm-to-csv/ Album art compiled using: https://www.neverendingchartrendering.org/ Genre data compiled using: http://organizeyourmusic.playlistmachinery.com/# https://everynoise.com/ https://www.tunemymusic.com/transfer Gender, year and country of origin information manually compiled using Last.fm and wikipedia. Data analysis done in excel and image created in GIMP. Source: 5 months ago