Archive for category Music
The Playlist Miner
The Spotify Web API team pushed out a new feature recently that extends the search API to include playlist search. With this new feature it is now possible to search across all of the popular public playlists created by Spotify users. To try out the new search capability I created a new web app called The Playlist Miner.
The Playlist Miner is a web app that will create a Spotify playlist for you by finding the top songs in all of the playlists that match your criteria. Say, for example, that I want to create a dinner party playlist. First, I find the top playlists that match ‘dinner party’ with The Playlist Miner:
The Playlist Miner will find up to the top 1,000 most popular playlists that match dinner party. It shows them to me, giving me a chance to refine my query to focus in on the exact type of playlist that I am interested in.
For this first try, I see lots of Christmas-oriented playlists (‘Tis the Season after all), but since I’m looking for music for a post-holiday dinner party, I’d rather not have holiday music in the playlist. So I refine my query to find non-Christmas oriented dinner party playlists like so:

The resulting playlists are suitably non-Christmasy.
I like the look of these playlists so I hit the Find Top Tracks button and The Playlist Miner will scour through all of the matching playlists (290 of them in this case) and find the most frequently appearing tracks.
Once the top 100 tracks are found, I can save them to Spotify as my own playlist.
Selecting Prefer more distinctive labor and delivery tracks adjusts the track order for popularity so that tracks that are more distinctive to the particular playlist context will rise to the top. You can also use logical operators to focus in on the exact type of playlist you want to. You can search for “work out” OR workout NOT running to find workout playlists without running in their titles/descriptions.
Under the hood – The Playlist Miner uses lots of bits of the Spotify API – user authentication, playlist search, playlist reading, playlist saving and more. The app is a an API calling beast – aggregating all the tracks from a thousand playlists requires 1,000 API calls. It’s a testament to the Spotify Web API that it doesn’t even blink under the load. You can play with the code on github.
It’s fun to use The Playlist Miner to explore the quirkier aspects of how people listen to music. There are ironing playlists and sleeping baby playlists. There are playlists for getting psyched and playlists for Labor and Delivery. With the Playlist Miner you can pull from all the playlists created for a particular purpose and build your own. Give it a try.
The Million Songs of Christmas
No other holiday dominates our listening like Christmas. During this season, we are exposed to a seemingly never ending playlist of Christmas music. So its no surprise that there’s a huge amount of Christmas music available on Spotify. How much? Let’s take a look.
How much Christmas music is there?
It is actually quite hard to pinpoint the exact number of Christmas songs. First, every week during the holiday season thousands more Christmas songs are added to the set. Second, some songs are seasonal – is Frosty The Snowman a Christmas song? Not literally, but it gets a lot of play at this time of year, even by the antipodes. Finally, there are a number of other holidays and celebrations at this time of year such as Hanukkah, Boxing Day, New Years, Kwanzaa, the Winter Solstice, and Festivus that we want to include in this category. So when I say “Christmas Music” I’m referring to western music that is played primarily during December. There’s probably a better term to describe this music, but terms like seasonal, and holiday have their own special baggage – perhaps something like music coincident with the northern hemispheric winter solstice is the most precise description, but lets stick with Christmas music just to keep things simple. So how much Christmas music is there? In early December 2014, crack music + data nerd Aaron Daubman dove into the Spotify + Echo Nest music catalog and found 914,047 Christmas tracks – that’s just under a million Christmas tracks. Let’s unwrap this dataset to see what we can find.
First, some basic stats: Those 914,047 tracks represent 180,660 unique songs and were created by 63,711 unique artists – from Aaron Neville to Zuma the King. The top 20 artists with the most Christmas tracks in the Spotify catalog are all pre-Beatles artists:
Artists with the most Christmas Tracks
| # | Name | Count |
|---|---|---|
| 1 | Bing Crosby | 22382 |
| 2 | Frank Sinatra | 17979 |
| 3 | Elvis Presley | 12381 |
| 4 | Nat King Cole | 11613 |
| 5 | Johann Sebastian Bach | 8958 |
| 6 | Dean Martin | 8000 |
| 7 | Perry Como | 7529 |
| 8 | Ella Fitzgerald | 6428 |
| 9 | Mahalia Jackson | 5883 |
| 10 | Mario Lanza | 5377 |
| 11 | Johnny Mathis | 5036 |
| 12 | Rosemary Clooney | 4538 |
| 13 | Peggy Lee | 4450 |
| 14 | Harry Belafonte | 4054 |
| 15 | The Andrews Sisters | 3567 |
| 16 | Louis Armstrong | 3481 |
| 17 | Gene Autry | 3411 |
| 18 | Doris Day | 2985 |
| 19 | Pat Boone | 2767 |
| 20 | Connie Francis | 2500 |
Yes, that’s right, Bing Crosby has 22,382 different Christmas tracks (!) in the Spotify catalog. Now, a little digression on what we consider to be a unique track. Music, especially popular music, is released in many forms. A very popular song, such as Bing Crosby’s White Christmas, may appear on a wide range of albums – from the original studio release to a plethora of Christmas Compilations and artist ‘best of’ albums. Each of these track releases may have different album art, different rights holders and regional licenses. Thus, even though the audio for White Christmas may be the same on each of the release, we consider each release as a different track.
White Christmas
Let’s take a closer look at Bing Crosby’s White Christmas. In our catalog of nearly a million Christmas tracks, 2,196 of them are Bing Crosby’s classic. I’ll say that again, just because it is a rather phenomenal fact – there are 2,196 different albums on Spotify that contain Bing’s White Christmas. It is hard to believe, so I created a web page that contains all 2,196 of the albums so you can see them all. Click on the image below to load them all up (warning – with 2000+ album covers it’s a bit of a browser buster).
White Christmas isn’t the only uber-track of the holidays. Here are the top 25 Christmas tracks based upon the number of times they have been released on an album:
The most released Christmas tracks
| # | Name | Count |
| 1 | Bing Crosby – White Christmas | 2196 |
| 2 | Eartha Kitt – Santa Baby | 1286 |
| 3 | Elvis Presley – Blue Christmas | 1285 |
| 4 | Frank Sinatra – Jingle Bells | 1121 |
| 5 | Harry Belafonte – Mary’s Boy Child | 904 |
| 6 | Bing Crosby – Silver Bells | 881 |
| 7 | Nat King Cole – The Christmas Song | 870 |
| 8 | Frank Sinatra – The Christmas Waltz | 811 |
| 9 | Rosemary Clooney – Suzy Snowflake | 788 |
| 10 | Bobby Helms – Jingle Bell Rock | 779 |
| 11 | Elvis Presley – White Christmas | 738 |
| 12 | Judy Garland – Have Yourself a Merry Little Christmas | 735 |
| 13 | Frank Sinatra – White Christmas | 703 |
| 14 | Frank Sinatra – Christmas Dreaming | 696 |
| 15 | Frank Sinatra – Have Yourself a Merry Little Christmas | 695 |
| 16 | Elvis Presley – Silent Night | 688 |
| 17 | Elvis Presley – I Believe | 664 |
| 18 | Frank Sinatra – Santa Claus Is Coming to Town | 660 |
| 19 | Louis Armstrong – Zat You Santa Claus | 598 |
| 20 | Dean Martin – The Christmas Blues | 575 |
| 21 | Frank Sinatra – Mistletoe and Holly | 568 |
| 22 | Louis Armstrong – Cool Yule | 566 |
| 23 | Frank Sinatra – Silent Night | 563 |
| 24 | Bing Crosby – Jingle Bells | 560 |
| 25 | Elvis Presley – Santa Claus Is Back in Town | 559 |
You can see all of the releases for Elvis’s Blue Christmas and Eartha Kitt’s Santa Baby here:
So there are lots of copies of Bing Crosby’s White Christmas and Eartha Kitt’s Santa Baby out there – but what are the most common Christmas songs overall? Which ones have been recorded the most by any artist? The following table shows the top 25:
Most recorded songs
| # | Name | Recordings |
| 1 | Silent Night | 19041 |
| 2 | White Christmas | 15928 |
| 3 | Jingle Bells | 14521 |
| 4 | Winter Wonderland | 9524 |
| 5 | Joy to the World | 9093 |
| 6 | The First Noel | 8731 |
| 7 | Have Yourself a Merry Little Christmas | 8511 |
| 8 | O Holy Night | 7925 |
| 9 | Hark The Herald Angels Sing | 7727 |
| 10 | The Christmas Song | 7673 |
| 11 | Away in a Manger | 7544 |
| 12 | God Rest Ye Merry Gentlemen | 7524 |
| 13 | O Little Town of Bethlehem | 7480 |
| 14 | Santa Claus Is Coming To Town | 6851 |
| 15 | I’ll Be Home for Christmas | 6844 |
| 16 | O Come All Ye Faithful | 6273 |
| 17 | Deck The Halls | 6057 |
| 18 | Silver Bells | 6044 |
| 19 | Ave Maria | 5847 |
| 20 | What Child Is This? | 5755 |
| 21 | We Wish You A Merry Christmas | 5619 |
| 22 | It Came Upon A Midnight Clear | 5019 |
| 23 | Sleigh Ride | 5004 |
| 24 | Blue Christmas | 4688 |
| 25 | Let It Snow! Let It Snow! Let It Snow! | 4598 |
Of course this data may be confounded by the uber-tracks like White Christmas that have thousands of versions by a single artist, so lets look at the most recorded songs by unique artists – that is, we only count Bing Crosby once for White Christmas instead of 2,196 times. When we do that the top 25 changes a bit:
Most recorded Christmas songs (Unique Artists)
| # | Name | Recordings |
| 1 | Silent Night | 7406 |
| 2 | Jingle Bells | 4485 |
| 3 | Joy to the World | 3593 |
| 4 | White Christmas | 3592 |
| 5 | O Holy Night | 3536 |
| 6 | The First Noel | 3181 |
| 7 | What Child Is This? | 3150 |
| 8 | Away in a Manger | 3140 |
| 9 | God Rest Ye Merry Gentlemen | 2871 |
| 10 | Have Yourself a Merry Little Christmas | 2823 |
| 11 | O Come All Ye Faithful | 2675 |
| 12 | Hark The Herald Angels Sing | 2638 |
| 13 | Angels We Have Heard on High | 2494 |
| 14 | Winter Wonderland | 2489 |
| 15 | The Christmas Song | 2398 |
| 16 | We Wish You A Merry Christmas | 2281 |
| 17 | Deck The Halls | 2274 |
| 18 | O Little Town of Bethlehem | 2197 |
| 19 | We Three Kings | 2048 |
| 20 | Santa Claus Is Coming To Town | 1837 |
| 21 | It Came Upon A Midnight Clear | 1768 |
| 22 | Ave Maria | 1705 |
| 23 | Auld Lang Syne | 1603 |
| 24 | Silver Bells | 1599 |
| 25 | I’ll Be Home for Christmas | 1577 |
The songs in green are the songs that are unique to each list.
Artists with the most number of unique songs
Bing Crosby is at the top of the Most Christmasy artists mainly because of the widespread re-issuing of White Christmas. But if we look at unique songs (i.e. White Christmas only counts once for Bing Crosby), the top Christmas artists look very different – with classical composers, Karaoke ‘artists’ and music factories topping the charts:
Artists with the most number of unique songs
| 1 | Johann Sebastian Bach | 3681 |
| 2 | Bing Crosby | 1462 |
| 3 | The Karaoke Channel | 1098 |
| 4 | George Frideric Handel | 903 |
| 5 | A-Type Player | 835 |
| 6 | Frank Sinatra | 816 |
| 7 | ProSound Karaoke Band | 762 |
| 8 | Pyotr Ilyich Tchaikovsky | 691 |
| 9 | SBI Audio Karaoke | 641 |
| 10 | Mega Tracks Karaoke Band | 577 |
| 11 | ProSource Karaoke | 539 |
| 12 | Ameritz Karaoke Entertainment | 508 |
| 13 | Tbilisi Symphony Orchestra | 506 |
| 14 | Elvis Presley | 472 |
| 15 | Perry Como | 440 |
| 16 | Karaoke – Ameritz | 428 |
| 17 | Nat King Cole | 413 |
| 18 | Ameritz Karaoke Band | 397 |
| 19 | Merry Tune Makers | 385 |
| 20 | Christmas Songs | 370 |
Current popular Christmas crooner Michael Bublé, with 31 unique Christmas songs has a way to go before he makes it on to the most-unique-songs-recorded chart.
Speaking of Karaoke – there’s lots of Christmas Karaoke – 23,472 tracks to be precise. The top 25 Karaoke songs are the classics:
Top Karaoke Christmas Songs
| # | Name | Count |
| 1 | White Christmas | 345 |
| 2 | Winter Wonderland | 333 |
| 3 | Silent Night | 312 |
| 4 | Jingle Bells | 309 |
| 5 | Last Christmas | 258 |
| 6 | Silver Bells | 219 |
| 7 | Blue Christmas | 204 |
| 8 | Santa Baby | 189 |
| 9 | The Christmas Song | 185 |
| 10 | Jingle Bell Rock | 172 |
| 11 | Have Yourself a Merry Little Christmas | 171 |
| 12 | Please Come Home for Christmas | 163 |
| 13 | Little Drummer Boy | 163 |
| 14 | Sleigh Ride | 156 |
| 15 | O Come All Ye Faithful | 154 |
| 16 | Here Comes Santa Claus | 150 |
| 17 | Feliz Navidad | 146 |
| 18 | All I Want for Christmas Is You | 146 |
| 19 | O Holy Night | 144 |
| 20 | I Saw Mommy Kissing Santa Claus | 143 |
| 21 | Rockin’ Around the Christmas Tree | 135 |
| 22 | Santa Claus Is Coming to Town | 126 |
| 23 | Frosty the Snowman | 125 |
| 24 | Rudolph the Red Nosed Reindeer | 121 |
| 25 | We Wish You a Merry Christmas | 118 |
Top Terms
We can build a good list of seasonal terms by finding the most frequently occurring words in song titles. Here are the top 75 or so, as a word cloud created by wordle (stop words are removed of course).

Longest Christmas song name
There are lots of very long song names in the set of Christmas songs – the longest is this Christmas medly.
A great song for testing how well your music player UI deals with unusual titles.
Conclusion
One would think that with a million Christmas tracks we’d already have more than enough Christmas music – but, it seems, we still like new Christmas music. Ariana Grande’s recently released Santa Tell Me is climbing the streaming charts (currently #44 at charts.spotify.com).
Plus, there’s seemingly no-end to the variety of Christmas Music. If White Christmas with Bing Crosby is not your style, then there’s Blue Christmas by Elvis.
And If that’s not your thing, maybe you’ll enjoy Red Christmas by Insane Clown Posse.
‘Tis the Season
‘Tis the season for artists to release Christmas music … and they release lots of it. In the last two weeks Spotify has added thousands of releases with ‘Christmas’ in the title. I though it would be fun to build a little web app that lets you explore through all the releases. Here it is: ‘Tis the Season.
It shows you all the Christmas albums that have been released in the last few weeks, lets you listen to them and lets you open them in Spotify.
It makes use of the Spotify Web API – there’s a nifty search feature that lets you restrict album searches to albums that have just been recently release. That’s what makes this app possible. Check out the app at ‘Tis the Season. The source is on github.
The Mobile Infinite Jukebox Survey results
Over the last six months or so The Infinite Jukebox had a link to a survey about features peopled would like to see in a mobile version of The Infinite Jukebox. Since then, over 10,000 people have taken the survey. Here are the results.
The survey was linked to directly from the Infinite Jukebox. The questions asked were:

Since the text in link to the survey was “Interested in a mobile version of the Infinite Jukebox? Then take this one minute survey” it is no surprise that 99% of all respondents are interested in a mobile version of the app.

The split between Android and iOS aligns with other iOS vs Android metrics out there on the webs.

As for how much people would be willing to pay, 64% would be willing to pay something for the app.

This was a bit surprising – 70% of folks want to play music from their own collection, and only 11% are interested in playing music from a streaming service like Spotify or Rdio.

The final question was an open-ended question asking about what other features would you like to see in the Infinite Jukebox. Many of the responses were about what features would like to see in the current web version, while many were about what features should be in a mobile version. Some of the more common results are here:
Common new feature suggestions
- Background playing
- Offline playling
- No Ads
- Simple tuning options
- Playlist support
- Choose song length
- Time limits per song
- Infinitise multiple songs
- Color schemes
- Volume controls
- Social features (voting on best tunings)
So, you may be wondering where is the mobile version of the Infinite Jukebox? It is coming along, all the hard coding bits are done, but it has been very much a spare time project. I do hope to release it sometime in the near future. Here’s a short clip of the app in action:
[youtube http://youtu.be/jTTYIunVK1I]Thanks to everyone who took the survey, its been quite informative.
Sort Your Music
A few weeks ago, the Spotify Web API team pushed out some updates to the API that allows developers to update the tracks in a listener’s playlist. With these changes a developer can add, replace, remove and rearrange tracks in a playlist on behalf of a listener. This week I wanted to try out these new API features so I built an app called Sort Your Music.
Sort Your Music lets you sort the tracks in any of your playlists based on a number of Echo Nest parameters. You can sort a playlist by BPM, Energy, Danceability, Loudness, Acousticness, Valence and more. Once you’ve sorted a playlist you can save it back to Spotify, letting you listen to it on any of your music devices. For example, here’s a copy of the Spotify Top 50 playlist, where the tracks have been sorted from highest energy to lowest.
[spotify spotify:user:plamere:playlist:5feKJB4zyQaFT6aw4i80tZ]Using Sort Your Music is quite simple, login with your Spotify credentials and give the app permission to modify your playlists. Then, select the playlist you want to work on and, after a few seconds (while all of the song data is retrieved from The Echo Nest), your playlist will appear in table form like so:

To sort the playlist, just click on the column headings for any of the parameters. When you are happy with the changes, just click save, and your playlist will be updated.
Under the Hood
This is a pretty straightforward app, but there were a few challenging bits. The primary challenge was dealing with the large number of calls to The Echo Nest. Each song in a playlist requires a call to The Echo Nest to fetch the song attributes, so even a modest playlist of 40 songs results in 40 Echo Nest calls. Multiply that by a few dozen active users and the app will be overwhelming my Echo Nest API rate limit. To avoid this, I created my own caching server that sits between the web app and The Echo Nest. It fields bulk requests from the web app (all the IDs at once), and retrieves the song data from The Echo Nest, eliminating any unneeded data, and passing it back to the web app. The big performance win comes from keeping a cache of the song info. After a bit of usage, most popular songs will be in the cache making most playlist song resolving quite snappy. Still, if you have a long and obscure playlist it may take 10 seconds to resolve.
Having a caching server gives me a few other benefits – I have a central point to handle rate limit throttling – if the app gets busy and we start hitting the rate limit, the server can do the throttling automatically, and I can take action. Another big advantage is that I don’t have to expose my Echo Nest API key to the world like I would need to do if I made Echo Nest calls directly from the web client.
My caching server has an info endpoint that returns some json data about the server status, including the average time to process each request to resolve a playlist. The current average resolve time is about 700ms – not too bad.
A Safari glitch – when I tested the finished app on Safari, I found that authentication didn’t work. This was quite puzzling, as it had worked for me before. I went back to some of my older Spotify apps that perform authentication and it turns out that they were no longer working as well. What changed? Well, I’m running the spiffy new Yosemite with an update to Safari. Digging deeper it turned out that the new Safari doesn’t like redirect URLs without a trailing slash. Once I added a trailing slash to the redirect URL all was well.
The code for the app is at github if you are interested in seeing how it all works. And be sure to give it the app a try. It is time to get your music in the right order.
Top US Artists on a map
This week I took yet another crack at putting artists on a map. This time, I created a map that shows the top artists for every state in the US for every day of 2014 up until today. You can go through the calendar year, day-by-day to see which artists managed to capture the hearts and ears of different parts of the country. It is fascinating to see if there is a Super Bowl bump for the half-time artist, or if there is any change in how people listen to music on St. Patrick’s day, or to see which artists are regional and which are national.
You can read more about the app on the insights.spotify.com blog and then take the app for a test drive. Hit the ‘GO!’ button to animate through the days of the year or hit the arrow keys to step through the calendar day by day. Click on a state to hear the most popular song by the most popular artist in that state on that day of the year.
It was a super fun app to write. I shall certainly write a bit more about some of the tech involved in the next couple of days.
More on “Where’s the Drama?”
Posted by Paul in code, events, Music, music hack day, Spotify, The Echo Nest on September 8, 2014
My Music Hack Day Berlin hack was “Where’s the Drama?” – a web app that automatically identifies the most dramatic moment in any song and plays it for you. I’ve been having lots of fun playing with it … and even though (or perhaps because) I know how it works, I’m often surprised at how well it does at finding the most dramatic moments. Here are some examples:
- When will the Bass Drop – Lonely Island
- Stairway to Heaven – Led Zeppelin
- Doomsday – Nero
- November Rain – Guns N Roses
How does it work? The app grabs the detailed audio analysis for the song from The Echo Nest. This includes a detailed loudness map of the song. This is the data I use to find the drama. To do so, I look for the part of the song with the largest rise in volume over the course of a 30 second window (longer songs can have a bit of a longer dramatic window). I give extra weight to crescendos that culminate in louder peaks (so if there are two crescendos that are 20dB in range but one ends at 5dB louder, it will win). Once I identify the most dynamic part of a song, I pad it a bit (so we get to hear a bit of the drop after the build).
The rest is just UI – the song gets plotted as a heavily filtered loudness curve with the dramatic passage highlighted. I plot things with Highcharts, which is a pretty nifty javascript plotting and charting library. I recommend.
Playing the music – I wanted to use Spotify to play the music, which was a bit problematic since there currently isn’t a way to play full streams with the Spotify Web API, so I did a couple of hacky hacks that got me pretty far. First of all, I discovered that you can add a time offset to a Spotify URI like so:
When this URI is opened in Spotify (even when opened via a browser), Spotify will start to play the song a the 1:05 time offset.
I still needed to be able to stop playing the track – and there’s no way to do that directly – so instead, I just open the URI:
which happens to be the URI for John Cage’s 4’33. In other words, to stop playing one track, I just start playing another (that happens to be silent). The awesome side effect of this is that I’ll be slowly turning anyone who uses “Where’s the Drama?” into experimental music listeners as the Spotify recommendation system responds to all of those John Cage ‘plays’. This should win some sort of ‘hackiest hack of the year’ award.
It was a fun hack to make, and great fun to demo. And now that I have the app, I am no longer wasting time listening to song intros and outros, I can just get to the bit of the song that matters the most.
The Set Listener
Going to a show? Not totally familiar with an artist’s catalog? Give The Set Listener a try. The Set Listener is a web app that will create a Spotify playlist of an artist’s most recent show.
To use The Set Listener just type in the artist name, and hit the search button, you’ll be presented with a playlist of songs from that artist’s most recent show. Hit the ‘Save this playlist to Spotify’ button and you’ll have a Spotify playlist that you can listen to on your desktop or on your mobile phone.
The app relies on the SetList.fm API and the brand new and super spiffy Spotify Web API. Now that the Spotify Web API supports the creation and saving of playlists creating these types of apps is quite straightforward – just a few hours of coding. This was my first time using the SetList.fm API – its a super resource for setlists from concerts by thousands of artists.
Check out the app online at The Set Listener. The code is online on github.
The Echo Nest + Spotify Sandbox
I am wearing my International Executive Music Hacker hat today. I’m writing this blog post at 5AM somewhere over the Atlantic Ocean, on my way to the Barcelona Music Hack Day, where I’ll be representing both The Echo Nest and Spotify. I’m pretty excited about the hack event – first, because it’s in freaking Barcelona, and second, because I get to talk about what’s been going on with the Spotify and Echo Nest APIs.

It has been just about 100 days since The Echo Nest and Spotify have joined forces. In that time we’ve been working hard to build the best music platform for listeners and for developers. This week we are releasing some of the very first fruits of our labors.
First up, we are releasing a new Spotify Web API.
This is a complete revamp of the Spotify Metadata API (the old version has now been deprecated). The Spotify Web API gives you access to all sorts of information about the Spotify catalog including details about artists, albums and tracks. Want to know the top tracks for an artist? There’s an API for that. Looking for high quality album art, artist images and 30 second audio previews? There are APIs for that too. Best of all, the new API includes perhaps the most requested Spotify API feature of all time With the Spotify Web API you can now create and modify playlists on behalf of authenticated users. Yes – you can now create a Spotify web app that creates playlists. (I personally requested this feature way back in 2008, here’s my begging plea for the feature in 2009).
I’ve been using the beta version of this new API for a couple months now and I must say I am quite impressed. The API is fast, super easy to use, and provides all sorts of great data for building apps. In the past weeks I’ve had fun converting a number of my favorite apps to use the Spotify API. First there’s the Road Trip Mix Tape that lets you create a Spotify playlist of music by artists that are from the very towns you are driving through. Then there’s Music Popcorn, a visual interface for exploring genres. For the less visual, there’s the Genre Browser that gives you lots of details about the different music genres including playlists that help give you a gentle introduction to any of the thousands of Echo Nest genres. Next there’s Boil the Frog, an app that creates seamless playlists between any two artists. Finally there’s the 3D Music Maze, an app that lets you explore for music by wandering through a 3 dimensional music world.
Next up, a freshly minted Echo Nest + Spotify Sandbox — a new Spotify ID space.
These apps are possible because of the second thing we are releasing this week – a spiffy, shiny new Spotify Rosetta Stone catalog that ensures that the Echo Nest API has the freshest, and most up-to-date view of the Spotify universe of music. For those who might be new to The Echo Nest, Project Rosetta Stone is something we’ve been working on here at the Nest for many years. The goal of Project Rosetta Stone is to solve one of the most common problems that nearly every music app developer faces. The problem is that every music service has its own set of IDs – a music subscription service like Spotify has its own artist, album and track IDs. A lyric service has its own (and very different) IDs for those same artists, albums and tracks and a concert ticketing API has yet a third set of IDs. This is quite problematic for app developers that want to build an app that combines information from multiple services. Without a common ID system, the app developer has to resort to metadata searching and matching – which is slow and quite error prone – this results in a poor app.
Project Rosetta Stone solves this problem by providing ID mappings between as many music services as we can. With this mapping you can easily translate IDs from one ID space to another. With Rosetta Stone, if you have the Spotify track ID you can get Lyricfind and/or Musixmatch IDs making it easy to use those respective APIs to retrieve lyrics for that song. You can easily map the Spotify artist ID to a Songkick or Eventful ID to get ticket and touring information from those APIs. And of course you can use the Spotify track ID to get detailed Echo Nest information about the song such as its tempo, energy, danceability, along with detailed Echo Nest artist data such as latest artist news, blog posts and similar artists.
We have had Spotify IDs in Rosetta Stone for many years, but this particular mapping has in the past been problematic for us. Spotify has a huge catalog and keeping the mapping fresh and up to date between Spotify and The Echo Nest has always been a big challenge. There’s a huge back catalog with millions of tracks to deal with plus thousands of new tracks are being added every week. The result was that there was always a bit of a lag between when updates to the Spotify catalog were reflected in the Rosetta Stone mapping. This meant that if you built a Rosetta Stone-based app you could find that The Echo Nest wouldn’t always know about a Spotify track, especially if a track was very new. The result would be a less-than-perfect app.
This week we are releasing a new Spotify ID space. Our engineers have been working hard over the last 100 days to set up all sorts of infrastructure and plumbing to ensure that we have the most up-to-date view of the Spotify catalog. No more lag between when a new track appears in Spotify and when you can get Echo Nest data. Plus, all of our APIs that take IDs as inputs will now also take Spotify IDs as input as well. If you have a Spotify artist ID you can use it with any Echo Nest artist API method. Likewise, if you have a Spotify track ID you can use it with any Echo Nest song or track API method that takes a track ID as input. This makes it **really** easy for developers to use The Echo Nest and Spotify Apps together. For example, here’s an API call that returns detailed audio properties for a Spotify track given its ID.
I’ve been having much fun using The Echo Nest API with the brand new Spotify API. I’ve already written some code that you can use. First, I wrote a Python library for Spotify called Spotipy. It’s makes it easy to write Python programs that use the new Spotify Web API, and it works well with my Echo Nest Python library called Pyen. Here’s an example of using the two libraries together:
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| import pyen | |
| import spotipy | |
| import sys | |
| ''' | |
| get a set of images for artists that are similar to | |
| the given seed artist | |
| ''' | |
| en = pyen.Pyen() | |
| sp = spotipy.Spotify() | |
| spids = [] | |
| response = en.get('artist/similar', name='weezer', bucket='id:spotify', limit=True) | |
| for artist in response['artists']: | |
| spids.append(artist['foreign_ids'][0]['foreign_id']) | |
| for artist in sp.artists(spids)['artists']: | |
| print artist['images'][0]['url'], artist['name'] |
I’ve also put together a number of Javascript example apps that use both APIs. These are simple apps intended to help new developers (or at least new to music apps) use the APIs together to do common things like create chillout playlists, browse through the web of similar artists, and more.
So yes, I’m pretty jazzed about this trip to Barcelona. I get to create a music hack, I get to spend a few days with some of the best music hackers in the world (The Barcelona Music Hack Day, as part of the Sonar Festival tends to attract the top music hackers). I get to spend a few days on the Mediterranean in one of the most beautiful cities in the world. Best of all, I get to talk about the new Spotify and Echo Nest developer platform and help music hackers build cool stuff on top of the newly combined platform.
I’ve put together a page that talks in detail about the new Spotify / Echo Nest platform. It has links to all of the API docs, libraries, examples, github repos, demos and details on how you can use The Echo Nest / Spotify Platform. Check it out here:
http://static.echonest.com/enspex
Keep an eye on this space for I’ll be updating it as we continue to integrate our developer APIs. There’s lots more coming, so stay tuned!
Bear core
Glenn has added a few fun genres to his Every Noise At Once map of the genre space. Check out the Bear genre which consists of bands with the word ‘bear’ in their name:
If you get tired of Bear then there is always the Horse genre which is made up of the many bands with Horse in their name (unfortunately, there is no Wyld Stallyns in the genre – seems to me that a fictional genre should have the greatest fictional band of all time):














