Home / Alternatives to Prevent Apps Like Prevent for iPhone and iPad
by The University of Manchester ★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Ranked alternatives Showing 381–400 of 1,000 ranked alternatives.
Stefan Roobol
★ 1.0 4 ratings Health & Fitness $0.99 Data updated 2026-09-11
Kelly Johnstone
★ 5.0 1 ratings Utilities Free Data updated 2026-09-11
Linder Haus Limited
★ 5.0 10 ratings Health & Fitness Free Data updated 2026-09-06
Hekademeia Research Solutions
★ 4.0 1 ratings Health & Fitness Free Data updated 2026-09-06
Nikolas Weichert
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Chris Moore
★ 5.0 2 ratings Health & Fitness Free Data updated 2026-09-06
Hachette UK (Holdings)Limited
★ 3.0 3 ratings Health & Fitness Free Data updated 2026-09-06
Les Applications Mapp Inc.
★ 4.0 10 ratings Health & Fitness Free Data updated 2026-09-06
Vu Tam
★ 3.7 6 ratings Utilities Free Data updated 2026-09-06
Many Tricks
Track spent on apps and windows
Track spent on applications and windows automatically without manual input. View graphs showing usage patterns. Set ad-hoc timers to log away from the device. Export logs and analyze activity reports.
★ 0.0 0 ratings Productivity $4.99 Data updated 2026-09-08
On Prairie Software Inc
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
InfiRay Technologies Co.,Ltd.
★ 3.7 3 ratings Utilities Free Data updated 2026-09-06
CAREHUB DIGITAL LIMITED
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
John Vitales
★ 5.0 1 ratings Lifestyle Free Data updated 2026-09-06
GammaStream Technologies, Inc.
★ 3.0 2 ratings Utilities Free Data updated 2026-09-06
Tuan Vu
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Indeed OOO
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Akshay Bothra
★ 5.0 8 ratings Health & Fitness Free Data updated 2026-09-06
Alexander Kvamme
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
飞 杨
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
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