31,355 artists in catalog

Artist index

Every DJ-relevant artist with three or more chemistry-scored tracks in our catalog. Each page shows BPM range, dominant keys, sound profile and related artists — useful when you're prepping a set, deciding whether an unfamiliar artist will work in your scene, or just exploring.

Avalon
38
Psy-Trance · 143 BPM median
1997–20247B
Alvaro AM
37
Minimal / Deep Tech · 128 BPM median
20228A
Fer BR
37
Tech House · 127 BPM median
20258A
Corrado Alunni
37
Nu Disco / Disco · 122 BPM median
5A
Fraw
37
Hard Dance / Hardcore / Neo Rave · 160 BPM median
2019–202511A
Point.blank
37
Dubstep · 140 BPM median
2012–20239A
Alesso
37
Dance · 126 BPM median
2012–202610A
Future
37
Trap / Future Bass · 126 BPM median
2013–202612A
Petar Dundov
37
Techno (Peak Time / Driving) · 124 BPM median
2010–20228B
Gaudium
37
Psy-Trance · 137 BPM median
2005–20232A
Phonique
37
Melodic House & Techno · 123 BPM median
2004–20269A
Kanye West
37
Hip-Hop · 103 BPM median
2004–20252A
Daniel Rateuke
37
Afro House · 122 BPM median
2018–202312B
Darren Porter
37
Trance (Main Floor) · 140 BPM median
2013–202410A
BK
37
Hard Dance / Hardcore / Neo Rave · 142 BPM median
2000–20256B
KPD
37
House · 125 BPM median
2015–202411A
Mayro
37
Progressive House · 123 BPM median
2019–202610B
Bontan
37
Afro House · 123 BPM median
2013–20246A
Paul Hazendonk
37
Progressive House · 122 BPM median
2013–20258A
Argia
37
Melodic House & Techno · 121 BPM median
2020–202411B
Alex Medina
37
Indie Dance · 121 BPM median
2020–20255A
Rizzle
37
Drum & Bass · 87 BPM median
2018–20253A
Lis Sarroca
37
Deep House · 124 BPM median
2019–20245A
The Chemical Brothers
37
Electronica · 126 BPM median
1995–202510B
Dubfire
37
Techno (Peak Time / Driving) · 128 BPM median
2007–202511B
Bedouin
37
Melodic House & Techno · 121 BPM median
2015–20265A
Kevin Over
37
Tech House · 123 BPM median
2013–20192A
Need For Mirrors
37
Drum & Bass · 87 BPM median
2014–20247A
Kiko Navarro
37
Afro House · 122 BPM median
2013–20175A
ANNĒ
37
Techno (Raw / Deep / Hypnotic) · 145 BPM median
2005–20264A
Arkaik
37
Drum & Bass · 87 BPM median
2015–20258A
Anthony Attalla
37
Tech House · 125 BPM median
2014–20219A
Matt Mus
37
Hard Techno · 128 BPM median
2014–20187A
Dack Janiels
37
Dubstep · 140 BPM median
2016–202410B
Chaim
37
Indie Dance · 122 BPM median
1998–20248A
Ninetoes
37
Tech House · 125 BPM median
2013–202211A
Matt Fax
37
Trance (Main Floor) · 124 BPM median
2014–20252A
Woo York
37
Melodic House & Techno · 126 BPM median
2014–202510B
Henrik Schwarz
37
Deep House · 124 BPM median
2003–20236A
Miroslav Vrlik
37
Trance (Main Floor) · 138 BPM median
2015–20216A
The Organism
37
Indie Dance · 122 BPM median
2018–20237B
Osunlade
37
Deep House · 122 BPM median
2000–20248A
Space Cat
37
Psy-Trance · 140 BPM median
2014–20242B
Sultan + Shepard
37
Dance · 124 BPM median
2014–20262B
Suncatcher
37
Trance (Main Floor) · 138 BPM median
2013–202410B
Mark Farina
37
Deep House · 123 BPM median
1996–20266A
Jansons
37
House · 126 BPM median
2017–20268A
Theo Kottis
37
Indie Dance · 125 BPM median
2014–20254A

Why a chemistry-scored artist directory matters

Most artist directories online give you a name, a genre tag and maybe a Spotify link. They don't tell you whether an artist's tracks will mix into your set, what BPM range they live in, which keys dominate their releases, or who else sounds like them. For a working DJ, those are the questions that actually matter.

Every artist in this directory has at least three tracks in our catalog, analysed end-to-end across the same six dimensions our recommendation engine uses — energy, drive, groove, brightness, warmth and vocal content. The result is that an unfamiliar name on a lineup poster is two clicks from a clear picture: their typical tempo, their dominant keys, the artists they cluster with, and a sortable list of every track of theirs we've scored.

Use the search to find a specific artist, the genre chips to narrow to a scene, or just sort by popularity to see who's currently dominating the Mixgraph catalog. From any artist page, the related-artists section spreads the map out further — every connection is a similarity-scored edge, not a guess.

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