Data tools
Read the credits your own way
Every page on SongSuey is one reading of the same table: who wrote each track, who composed it, who produced it. These tools hand you the table. Pick a view, set the filters, and take the rows with you.
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Two artists side by side: how much of each catalog they wrote, what they split with a co-writer, and what came from writers they hired. Album by album, as track counts.
Open compare -
Every artist pinned to the town they came from, on a globe or a flat map. Color the pins by score, genre or era, filter the roster down, and take the rows with you.
Open artist map -
Career Swings
SoonWho changed the most from one album to the next, and who never moved: the biggest rises and falls in authorship across a career.
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Site Stats
SoonThe whole database in numbers: tracks logged, credits counted, how the roster leans by genre and decade, and where the gaps still are.
Take the data with you
The map runs on two files, and both are yours to download. The CSV is one row per artist with the hometown, the coordinates, the authorship score and the album and track counts. The JSON is the same roster in the compact column form the map reads, with the place tree alongside it. Both are rebuilt whenever an artist is added, and both are free to reuse with a link back to SongSuey; the terms page has the wording.
- map-artists.csv365 artists, one row each, with place and coordinates
- map-index.jsonthe roster, the places and the collaborator links the map draws