Spotify Data Visualizer

See charts of the artists, genres and features of tracks in your library. Also keep track of your listening history.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

• Python 3
  • pip
• PostgreSQL

On Debian/Ubunu

sudo apt-get install python3-pip
sudo apt-get install postgresql
sudo apt-get install python-psycopg2
sudo apt-get install libpq-dev
pip install --user virtualenv

Installing

1. Create a virtual environment.

   virtualenv /path/to/new/virtual/environment
   

2. cd into the directory you just created a virtual environment in, and clone the GitHub repo:

   cd /path/to/new/virtual/environment
   git clone https://github.com/Kevin-Mok/spotify-lib-vis
   

3. Activate the virtual environment from the command line.

   # activate.fish if you're using fish shell
   source bin/activate
   

4. cd into the repository root directory and install all dependencies using pip.

   cd spotify-lib-vis
   pip3 install -r requirements.txt
   

5. Run reset_db.sh to create the database and start the server.

   ./scripts/reset_db.sh
   

Built With

• Django
• Spotify Web API
• pip packages used

Authors

• Kevin Mok
• Chris Shyi

License

This project is licensed under the GPL License - see the LICENSE.md file for details.