My tool analyzes the audio features of songs in a Spotify playlist and uses a scoring algorithm to compute the ideal track sequence for transitions between songs. It will also automatically create a new playlist on your account with the optimal order.

Initially, I was only using least BPM differences and least musical key differences between songs, but now my algorithm also makes use of several other audio feature datapoints available through the Spotify track API, including:

• tempo (BPM)
• key
• danceability
• energy
• loudness
• valence
• mode
• time signature

More info on the audio features and what they represent can be found here: https://developer.spotify.com/documentation/web-api/reference/get-audio-features

• Generate a Spotify client ID and secret here
• Create a .env file in the same directory as main.py and add the ID/secret there (see .env.example)
• Install the required Python modules (run pip install -r requirements.txt)¹
• Run python main.py and enter your playlist ID when asked

MIT