Discogs Collection Statistics

An exploration of the most collected and want-listed records on Discogs.

See a live version on Lazily Evaluated.

Running Locally

Gather the data - Python

• Run collection-stats script with relevant api keys and user agent info as environment variables (Discogs and MusicBrainz credentials needed)
• The relevant data will be saved to data and output
• This can take a while.

Run the Front End

• Run yarn install and npm start
• The project should be viewable at http://localhost:8080/