Home / Alternatives to LeaveLight Apps Like LeaveLight for iPhone and iPad
by Oleksandr Provarenko ★ 5.0 8 ratings Lifestyle Free Data updated 2026-09-06
Ranked alternatives Showing 521–540 of 1,000 ranked alternatives.
Krzysztof Lowiec
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
MEGABIT BILISIM ANONIM SIRKETI
★ 4.5 6 ratings Utilities Free Data updated 2026-09-06
Dongguan JHS Electrical Co.,Ltd
★ 1.8 8 ratings Utilities Free Data updated 2026-09-17
ADVANCETECH INDUSTRIES PVT.LTD
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Snowyi Technology Co., Ltd.
★ 0.0 0 ratings Utilities Free Data updated 2026-09-30
TECE GmbH
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Snowyi Technology Co., Ltd.
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
RDCCO Pty Ltd
★ 1.0 1 ratings Utilities Free Data updated 2026-09-20
kuanwen Wang
★ 0.0 0 ratings Utilities Free Data updated 2026-09-14
WHATSGOODAPPS LLC
★ 5.0 4 ratings Lifestyle Free Data updated 2026-09-06
BSH Hausgeraete Service GmbH
★ 5.0 3 ratings Utilities Free Data updated 2026-09-06
Loyal Foundry, Inc.
Track noise levels in real time
Measure ambient noise using the phone's microphone and display real-time decibels. Track noise levels from household appliances like washing machines and refrigerators. Compare outputs to help choose quieter electronics.
★ 4.0 7 ratings Utilities Free Data updated 2026-09-06
Hironari Kozuka
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Minien Co., Ltd
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Smartlox Pty Ltd
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Herve Dzefi
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Cry International GmbH
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Crystal Frommert
★ 5.0 2 ratings Utilities Free Data updated 2026-09-06
DAMLA CETINTAS
★ 4.5 2 ratings Lifestyle Free Data updated 2026-09-06
Universal Exports Group Limited
★ 3.2 4 ratings Utilities Free Data updated 2026-09-20
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
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