Mixonomer is a Spotify playlist manager for creating smart playlists. Create mixes with other Spotify playlists and include AI recommendations, playlists are updated multiple times a day. Last.fm integration provides data for listening statistics and visualisation.
I use Mixonomer to create mixes and big genre playlists out of my smaller sub-genre playlists.
Selector is a Spotify listening agent for monitoring what you’re listening to and presenting a dashboard of stats. Display Spotify stats that you can’t typically see in the apps such as the song descriptor, tempo, key and popularity. Connect to Last.fm to present graphs of how frequently you listen to the current track/album/artist.
I wanted to explore what insights could be found in my 3 years of Last.fm scrobbles when augmented with Spotify data. Ideally, I also wanted to be able to apply the intelligence to the Mixonomer playlist pipeline.
Spotify provides audio features for the tracks on its platform. These features describe a number of qualities for the tracks including how much energy it has and how vocal it is. I investigated whether the set of audio features for my larger genre playlists could be used to classify tracks by genre.