Home / Alternatives to WellsApp Apps Like WellsApp for iPhone and iPad
by The Code Group CC ★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Ranked alternatives Showing 541–560 of 1,000 ranked alternatives.
Cam James
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Nikhil Anshuman
★ 0.0 0 ratings Health & Fitness $3.99 Data updated 2026-09-06
Bible Sweat LLC
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Juno Health LLC
★ 4.8 13 ratings Health & Fitness Free Data updated 2026-09-06
Ahmad Nakore
★ 4.5 6 ratings Lifestyle Free Data updated 2026-09-06
Ethan Huff
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Mikhail Shmonov
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Alessandro Marino
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
颢鸣 陈
★ 5.0 2 ratings Utilities Free Data updated 2026-09-06
HOME AND THRIVING LLC
★ 5.0 3 ratings Health & Fitness Free Data updated 2026-09-06
Joaquin Marticorena
Track meals and analyze nutrients with AI
Track dietary intake with AI-powered food scanning. Take photos of meals to estimate and mineral content. Receive insights on nutrient levels and compare against daily requirements. Sync data across devices for consistent tracking.
★ 3.5 2 ratings Health & Fitness Free Data updated 2026-09-06
Connor Vilaysack
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Optalert Australia Pty Ltd
★ 5.0 5 ratings Health & Fitness Free Data updated 2026-09-06
Elsa George
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
SOFIA AI LIMITED
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Doado
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Carepath Technologies Inc.
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Kak-Kyu LEE
★ 0.0 0 ratings Sports Free Data updated 2026-09-06
Priyankaben Satashiya
★ 0.0 0 ratings Health & Fitness $3.99 Data updated 2026-09-06
V3Cube Technolabs LLP
★ 0.0 0 ratings Business 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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