https://github.com/csteinmetz1/sfilt
Python tool for filtering and sorting Spotify tracks based on existing playlists
Science Score: 13.0%
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○Scientific vocabulary similarity
Low similarity (8.4%) to scientific vocabulary
Repository
Python tool for filtering and sorting Spotify tracks based on existing playlists
Basic Info
- Host: GitHub
- Owner: csteinmetz1
- License: mit
- Language: Python
- Default Branch: master
- Size: 126 KB
Statistics
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
sFilt
Python tool for filtering and sorting Spotify tracks based on existing playlist
Setup
Install spotipy
$ pip install spotipy
Create the keys.json file and set your client_id and client_secret after creating a Spotify API Client ID.
{
"client_id" : "YOUR_CLIENT_ID",
"client_secret" : "YOUR_CLIENT_SECRET",
"redirect_uri" : "http://localhost:8888/callback"
}
Viral playlist filtering
Currently this script is setup to pull the top 50 viral tracks from each Spotify country chart ( listed in viral_50.json ) and then compare these tracks with the tracks on the Global Viral 50 and US Viral 50 charts. Any tracks that match are discarded and then a list of tracks not on the Global or US charts remain. Next these tracks are sorted based upon their popuality or on the distance of their feature vectors ( using Spotify audio features ).
Here is an example of a filtered playlist sorted by features vectors.
Usage
Simply run the sfilt.py script
$ python sfilt.py
This will save a new playlist to your Spotify account.
Note
This code is based upon the code in sBucket. I am planning on building this out to be a more general purpose (modular) library that enables easy playlist filtering and generation on Spotify.
Owner
- Name: Christian J. Steinmetz
- Login: csteinmetz1
- Kind: user
- Location: London, UK
- Company: @aim-qmul
- Website: christiansteinmetz.com
- Twitter: csteinmetz1
- Repositories: 79
- Profile: https://github.com/csteinmetz1
Machine learning for Hi-Fi audio. PhD Researcher at C4DM.
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