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

Before starting the setup, make sure Python 3 and PostgreSQL is installed on your system.

Installing

1. Use the pip tool to install virtualenv. See this guide for further details.

pip install --user pipenv

1. Create a virtual environment.

python3 -m venv /path/to/new/virtual/environment

1. 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

1. Activate the virtual environment from the command line.

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

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

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

1. 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.