Home / Alternatives to Self-E Apps Like Self-E for iPhone and iPad
by Brown University Computing & Information Services ★ 5.0 2 ratings Lifestyle Free Data updated 2026-09-06
Ranked alternatives Showing 861–880 of 1,000 ranked alternatives.
Tyne Technologies LTD
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Efe Can OGUR
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Astella Ai, LLC
★ 0.0 0 ratings Education Free Data updated 2026-09-06
Sam Kheirandish
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Meescan Inc.
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Appwallet Technologies Private Limited
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
WEI YOU CHEN
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
AppNextDoor Labs
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Dharm Prasad
★ 0.0 0 ratings Education Free Data updated 2026-09-06
Newton Nandy
★ 0.0 0 ratings Education Free Data updated 2026-09-06
Marius Fizel
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Alikhan Gubayev
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
WORTHY Self-Care, LLC
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Control. Alt. Delete. LLC
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
MOHAMED IAZZA
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Blazej Biesiada
Track levels with heart rate and motion
Track levels using heart rate, resting heart rate, walking heart rate, motion, and sleep data. Display on a 0–100 scale with color-coded indicators. Monitor throughout the day and view sleep-related insights.
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
LYNA CAM UK LIMITED
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Black Cigar Apps, LLC
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Mind Kinesis Investments Pte Ltd
★ 0.0 0 ratings Education Free Data updated 2026-09-06
姗姗 姚
★ 0.0 0 ratings Lifestyle 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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