Home / Alternatives to KarbCoach Apps Like KarbCoach for iPhone and iPad
by Diamond Star Technologies, Inc. ★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Ranked alternatives Showing 801–820 of 1,000 ranked alternatives.
Nikita Darkov
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Žiga Elsner
★ 0.0 0 ratings Food & Drink $12.99 Data updated 2026-09-06
Saed Bany Amer
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Woopdeedoo AB
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Macromin Solutions Private Limited
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Dang Nam Nguyen
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
ALPA AB
Calculate meal calories for fasting diet.
The app calculates the calorie content of a user's planned meal. It uses nutrition data based on United States Department of Agriculture (USDA) data, SR25.
★ 0.0 0 ratings Health & Fitness $0.99 Data updated 2026-10-17
EATWELLCONCEPT COMPANY LIMITED
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Nitin Raghav
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
APPOCONN LIMITED
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
子航 徐
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Julien Savoy
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
FUMOBI TECHNOLOGY LIMITED
★ 5.0 1 ratings Health & Fitness Free Data updated 2026-09-06
JetSynthesys Pvt Ltd
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Tobias Schuergers
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Shenna Marie Canas
★ 5.0 1 ratings Health & Fitness Free Data updated 2026-09-06
SECURE PASSWORD MANAGER LTD
★ 0.0 0 ratings Health & Fitness $1.99 Data updated 2026-09-06
Foody U Limited
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Les Nants
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Al.Ta Cucina Srl
★ 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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