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
- Use the pip tool to install
virtualenv
. See this guide for further details.
pip install --user pipenv
- Create a virtual environment.
python3 -m venv /path/to/new/virtual/environment
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
- Activate the virtual environment from the command line.
source bin/activate
cd
into the repository root directory and install all dependencies usingpip
.
pip install -r requirements.txt
- Run
reset_db.sh
to create the database and start the server.
cd src && ./reset_db.sh
Built With
Authors
License
This project is licensed under the GPL License - see the LICENSE.md file for details.