Try Kiwix. It's an offline reader, you can download the complete English-language Wikipedia, complete with media, in about 100GB. They also have a bunch of other collections like Project Gutenberg. https://kiwix.org/en/. - Source: Hacker News / 8 days ago

Very helpful to know that! Zimit[1] also uses warc files as an intermediate step to producing Zim files. You can use these Zim files to read and search websites offline with the excellent app Kiwix[2]. I think 'Kiwix for Android' and the Kiwix PWA support Zim files made with Zimit, with the support with the desktop Kiwix application currently work-in-progress. Other information about archiving websites is... - Source: Hacker News / 5 months ago

For the locally hosted part of it, you’re looking at Kiwix[1]. [1] https://kiwix.org/en/. - Source: Hacker News / 6 months ago

Without article history and videos, it's small enough that many modern smartphones can have a local offline copy. http://kiwix.org/. - Source: Hacker News / 11 months ago

It is pretty massive, but you can get the whole thing in a .zim file from kiwix.org. I downloaded it from there and put it on all my units before shipping them out. Source: 12 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 / about 2 months 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 / 3 months 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 / 6 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 / 6 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: 6 months ago