Home / Alternatives to CalorieExplorer Apps Like CalorieExplorer for iPhone and iPad
by Juneyoung LEe ★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Ranked alternatives Showing 461–480 of 1,000 ranked alternatives.
SAMSUNG LIFE INUSRANCE
★ 4.0 2 ratings Health & Fitness Free Data updated 2026-09-06
PetpulsLab Inc.
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
stretchjoy
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
SEKWON CHANG
★ 0.0 0 ratings Education Free Data updated 2026-09-06
ATOMY CO.LTD
Predict health risks and recommend nutrients
Track health risks by analyzing medical records to predict disease likelihood and suggest health types. Recommend personalized nutrients based on health and medical history. Provide tailored lifestyle habits for healthier living.
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Sunghun Kang
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Seoul National University Hospital
★ 1.6 7 ratings Medical Free Data updated 2026-09-09
Yongjin Cheong
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
OPUS ONE INC.
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
CERAGEM Co., Ltd
★ 5.0 1 ratings Health & Fitness Free Data updated 2026-09-06
hyejin kwon
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
HOYONG NA
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
JONG SEUNG HA
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
tium co.,ltd
★ 0.0 0 ratings Social Networking Free Data updated 2026-09-06
mommydndn Inc.
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Korea Occupational Safety and Health Agency
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
MaroStory
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Sungbae Park
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Sorin Jeong
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
MEDIPHARM CO. ,Ltd
★ 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.
Previous Next