Saved Library Analyzer

An application that analyzes your ENTIRE Spotify Library. Including:

• Critique
  • Average popularity of your songs
  • How many artists you listen to who are in the Billboard Hot 100
  • Overall "basciness" of your music taste
• General Song Data
  • Count of artists
  • Song lengths
  • Most popular artists
  • Most frequent artists
  • Distribution of your music taste in decades (80s, 90s, 2000s, etc.)
  • Etc.
• Genres
  • Most listened to Genres

Libraries + Sources

This application used the Spotify API for OAuth and data gathering as well as Pandas, Matplotlib and Seaborn for visualizing the data. The backend was developed using a FlaskAPI which was then deployed on Heroku (CURRENTLY NOT DEPLOYED).

Sources:

• Extracting Songs: https://towardsdatascience.com/extracting-song-data-from-the-spotify-api-using-python-b1e79388d50
• CSS Circles: https://freefrontend.com/css-animated-backgrounds/
• OAuth Formatting: https://www.youtube.com/watch?v=mBycigbJQzA&ab_channel=Synsation

Using the Web App

Currently, the Spotify OAuth is still in "development mode", which means the number of users is limited to 25 and they must be specified on my end with their full name and email [which is attached to their Spotify Account].

I am currently waiting for approval to switch to Deployment, but until then, if you wish to use the app, please email me at [email protected] with the required info!

Here's the Website: https://spotify-analysis-api-b03eb44ce8db.herokuapp.com/home