OSSInsight VS Every Noice at Once

Recently I found out about the OSS Insight online data tool (https://ossinsight.io/). Seeing as I've wanted, and tried myself, to track such information I found it interesting how well they manage to gather and present the info. They have a neat section where they show a comparison of collections of OSS projects (https://ossinsight.io/collections/). But unfortunately there was nothing C++ related in there. But now... Source: about 1 year ago

Use this thread to ask anything about OSS Insight! https://ossinsight.io/. Source: over 1 year ago

2. HTAP: TiDB has a great TP performance and an excellent OP performante. See their OSSIsight project: https://ossinsight.io/. - Source: Hacker News / over 1 year ago

The OSS Insight website displays the data changes of GitHub events in real time. It's powered by TiDB Cloud, a MySQL-compatible distributed SQL database for elastic scale and real-time analytics. - Source: dev.to / over 1 year ago

Https://ossinsight.io/ there you go. Source: over 1 year 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 / 26 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 / about 1 month 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 / 5 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