![]() This is pretty much what I was hoping to find – a visualization tool to show my musical listening patterns. Here’s an example of what you can create: I actively used Last.fm during most of college (2010-13 give or take), but only realized that you could connect it with Spotify in late 2016, so for the purpose of highlighting these tools, I’ll be focusing on my musical listening data from only 2017.īy far the coolest Last.fm integrated tool I found, this tool visualizes your listening history by artist, album, or specific track and places it into a colored wave graph. I was pleased to find that Last.fm and its accompanying API, allowed developers the ability to dig into a users scrobbles for as long as you have had a Last.fm account. ![]() I recently highlighted a very cool tool made by a Spotify developer that uses Echo Nest data to dig into specific stats about the songs in a playlist, which got me inspired to look into more music visualization tools available online. The idea of “scrobbing”/showing users their long-term listening history is something that Spotify really hasn’t pounced on yet on the front-end side of things, which leaves connecting Spotify to Last.fm as the best way for those who are curious to see their entire musical listening history. Last.fm uses something called “scrobbles” (or “scrobbling”) – basically their word for “tracks played” to track what you’ve listened to, connect with other users, and discover new artists. It’s still active today, but its radio services have been discontinued, and instead, the company has focused more on the music discovery and tracking services in recent years. Last.fm is a music listening and tracking tool that peaked in popularity during the latter part of the 00s, competing with other music radio services like Pandora before Spotify and Apple Music came into the market.
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