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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:
git clone https://github.com/Kevin-Mok/spotify-lib-vis
  1. Activate the virtual environment from the command line.
source bin/activate
  1. cd into the repository root directory and install all dependencies using pip.
pip install -r requirements.txt
  1. Run reset_db.sh to create the database and start the server.
cd src && ./reset_db.sh

Built With

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License

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

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Graphs and tables for your Spotify account.

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