DISCO/GRAPH
  • WHAT
  • WHO
  • @nphthlm

What is this?

Disco/graph is an interactive visualization of the relationships between musicians, bands and labels.

All of Disco/graph's data is derived from the Discogs.com discography database: nearly 4 million artists, 1 million labels, and 7 million releases creating a network of nearly 70 million different relationships.

What do all of these symbols mean?

  • Small circles represent artists.
  • Large circles represent bands.
  • Squares represent labels and other companies.
  • Solid lines show band membership.
  • Dashed lines show pseudonyms.
  • Dotted lines show other kinds of relations.

The graph only shows at most 100 entities at a time, so double-click on any circle containing a plus-sign to reveal more connections.

Who made this?

My name is Josiah Wolf Oberholtzer.

I'm a software developer, a researcher, a classically-trained composer and vinyl junkie.

I designed and implemented Disco/graph with a little help from some great tools and packages:

  • Python 3
  • Peewee
  • D3 and Bootstrap CSS
  • Machina-JS
  • Flask, Gunicorn and supervisor.d

Disco/graph would also be impossible without the generous public data dump that Discogs.com provides monthly.

You can fork Disco/graph on GitHub.

Having fun? Buy my server a beer:

You can also tell me what you think.

Hello, friends and lovers!

Welcome to Disco/graph, an interactive visualization of relationships between artists, bands and labels, based on data from the Discogs.com database.

Use the search box in the right corner to look for a musical entity or click on the Disco/graph link in the left corner to find a random artist.

When the graph appears, click and drag the nodes around. Double-click on any node with a plus-sign to reveal more connections, or use the roles selector in the bottom right corner to show new types of connections.

You can also click on any selected entity's name in the lower left-hand corner to open their Discogs.com profile, or the little eye icon next to their name to pull up a graph of their musical proclivities

 /  Band Name