Comparify

Compare artists songs from Spotify using the sound features available in the spotify official API.

Installation

1. clone the repo

2. go to repo folder and type:

pip install -r requirements.txt

python setup.py install

Tutorial

Comporify under de hood uses the official Spotify API (spotipy) so you will need to create an authorized app token in Spotify Developer website: https://developer.spotify.com/

Then create a credentials manager with your cliend_id and client_secret:

from spotipy.oauth2 import SpotifyClientCredentials

client_id = '<your_client_token>'
client_secret = '<your_client_secret>'
credentials = SpotifyClientCredentials(client_id, client_secret)

Then create go to spotify and find out your artist of choice url. For example my band has the url https://open.spotify.com/artist/3rD7bBI9zkYhu62o79tWe6

The artist_id is the last characters of the url: 3rD7bBI9zkYhu62o79tWe6

Then you can start playing around with it simply doing:

from comparify import SongFeatures

# one artist
dasouza = SongFeatures(credentials, '3rD7bBI9zkYhu62o79tWe6')
# another artist
malkmus = SongFeatures(credentials, '7wyRA7deGRxozTyBc6QXPe')

This returns a SongFeatures objects which basically is a pandas.DataFrame with extra information. It has the attributes of a DataFrame:

dasouza.head(5)

id	name	album	loudness	energy	valence	danceability	tempo	speechiness	instrumentalness	acousticness	liveness
4aaco211p3HFubmFfBoaxj	Noves Venècies	Futbol d'Avantguarda	-8.716	0.356	0.608	0.582	130.898	0.0321	0.126	0.452	0.118
4N5E7jIK4Ti9yXoshshQ1J	Migracions de salmons	Futbol d'Avantguarda	-7.193	0.61	0.657	0.535	125.95	0.0299	0.255	0.134	0.131
0hdwI9Xf7GnJUyUmXNETt0	Finals	Futbol d'Avantguarda	-6.603	0.61	0.72	0.638	130.071	0.0304	0.0491	0.0598	0.14 0
ERzbcM3uYCmH0zuONy02y	Tan enfora	Futbol d'Avantguarda	-6.709	0.723	0.537	0.607	120.025	0.0285	0.162	0.216	0.228
2IjcG82yOERIFe9bV4dWrL	Dos microbis	Futbol d'Avantguarda	-9.703	0.422	0.384	0.375	153.432	0.0424	0.525	0.622	0.0983

Then instance the Comparator:

from comparify import Comparator
comparator = Comparator(scaler='minmax', projector='tsne')
comparator.fit([dasouza, malkmus])

And you will get a plotly scatter with the projected features in a 2d space.

Also you can get a the most similar song (euclidian distance based) with most_similar_song()

from comparify import most_similar_song

most_similar_song(dasouza, malkmus)

name	closest
Noves Venècies	Senator
Migracions de salmons	Tigers
Finals	Senator
Tan enfora	1% Of One
Dos microbis	Us

Disclaimer

This is a toy project so feel free to say me anything or sue me because of my bad abstractions.