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
andoutput
- This can take a while.
Run the Front End
- Run
yarn install
andnpm start
- The project should be viewable at http://localhost:8080/