Home / Alternatives to Set.Fm Apps Like Set.Fm for iPhone and iPad
by DejaSet, INC ★ 0.0 0 ratings Entertainment Free Data updated 2026-10-10
Ranked alternatives Showing 681–700 of 1,000 ranked alternatives.
Zeynep Toy
★ 0.0 0 ratings Music Free Data updated 2026-09-06
Stanislav Duplinskiy
★ 0.0 0 ratings Utilities $1.99 Data updated 2026-09-06
Bryan Hall
★ 5.0 3 ratings Music Free Data updated 2026-09-06
TiVo Platform Technologies LLC
★ 3.7 3 ratings Entertainment Free Data updated 2026-09-16
MARKUS BIERMEIER
★ 0.0 0 ratings Music $1.99 Data updated 2026-09-06
Daniel Newman
★ 0.0 0 ratings Music Free Data updated 2026-09-06
Findlay Publishing Company
★ 0.0 0 ratings Music Free Data updated 2026-09-09
C. Bechstein Digital GmbH
★ 0.0 0 ratings Music Free Data updated 2026-09-06
SEASOFT LTD.
★ 0.0 0 ratings Music Free Data updated 2026-09-06
Xceed Srl
★ 5.0 2 ratings Entertainment Free Data updated 2026-09-09
Play Music Publishing
Learn to play any instrument.
The app provides multimedia tutorials for guitar, piano, bass, and drums. Users can download their own courses and tutorials for learning musical instruments.
★ 5.0 1 ratings Music Free Data updated 2026-09-30
Zimmer Radio Group
★ 0.0 0 ratings Music Free Data updated 2026-09-06
Heiko Mueller
★ 3.3 3 ratings Music Free Data updated 2026-09-12
Femi Aliu
★ 0.0 0 ratings Music Free Data updated 2026-09-06
On Air Broadcasting, INC
★ 5.0 3 ratings Music Free Data updated 2026-09-06
Inline Solutions s.r.o.
★ 0.0 0 ratings Music Free Data updated 2026-09-12
Soundmade ApS
★ 5.0 1 ratings Music Free Data updated 2026-09-06
煜华 汤
★ 5.0 1 ratings Music Free Data updated 2026-09-06
On Set LLC
★ 1.0 1 ratings Entertainment Free Data updated 2026-09-06
Ultabit, LLC
Nature sounds for relaxation and sleep.
The app provides ambient forest sounds like winds, birds, and streams. These recordings can block distractions, enhance privacy, aid sleep, mask Tinnitus, or reduce stress.
★ 5.0 2 ratings Health & Fitness Free Data updated 2026-10-09
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
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