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 3.6 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

2. Create a virtual environment.

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

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

4. Activate the virtual environment from the command line.

source bin/activate

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

pip install -r requirements.txt

6. Run Django migrations.

manage.py migrate

7. Start the server.

python manage.py runserver

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.