Home / Alternatives to M-Cals Apps Like M-Cals for iPhone and iPad
by Grant Patterson ★ 4.0 6 ratings Health & Fitness Free Data updated 2026-09-06
Ranked alternatives Showing 401–420 of 1,000 ranked alternatives.
FUNCTIONAL BURN LLC
★ 4.3 7 ratings Health & Fitness Free Data updated 2026-09-06
Co Curate Ventures, LLC
Plan workouts and track nutrition intake
Create personalized workout and meal plans based on goals. Log daily workouts and meals, track progress with check-ins, sync wearable devices and health kits. Receive real-time analytics and updates.
★ 2.7 7 ratings Health & Fitness Free Data updated 2026-09-06
Lucas van de Pol
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Kevin Krupa
★ 5.0 4 ratings Health & Fitness Free Data updated 2026-09-06
Jason Wall
★ 0.0 0 ratings Health & Fitness $2.99 Data updated 2026-09-06
brux Corporation
★ 5.0 2 ratings Health & Fitness Free Data updated 2026-09-06
Ankit Mhatre
★ 5.0 6 ratings Health & Fitness Free Data updated 2026-09-06
Jaewoo Park
★ 5.0 1 ratings Health & Fitness Free Data updated 2026-09-06
Ihor Havryliuk
★ 5.0 1 ratings Health & Fitness Free Data updated 2026-09-06
Perception AI, LLC
★ 5.0 1 ratings Health & Fitness Free Data updated 2026-09-06
NUTEMI, INC
★ 4.0 4 ratings Health & Fitness Free Data updated 2026-09-06
DoingLAB Inc.
★ 2.8 6 ratings Health & Fitness Free Data updated 2026-09-13
MODERN FOOD COMPANY FOR FOOD SERVICES
★ 1.0 1 ratings Food & Drink Free Data updated 2026-09-06
Vatanay Ozbeyli
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Sophon Labs Limited
★ 5.0 1 ratings Health & Fitness Free Data updated 2026-09-06
Mirza Adil Nadeem
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Sultan Hassan
★ 1.5 2 ratings Health & Fitness Free Data updated 2026-09-06
BINH NGUYEN
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
立华 赵
★ 3.0 2 ratings Health & Fitness Free Data updated 2026-09-06
Pentabit Labs LLC
★ 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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