Home / Alternatives to 마이아큐브 Apps Like 마이아큐브 for iPhone and iPad
by Johnson & Johnson Korea LTD ★ 3.7 29 ratings Health & Fitness Free Data updated 2026-09-10
Ranked alternatives Showing 341–360 of 880 ranked alternatives.
SAMSUNG WELSTORY
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Connect i Co.,Ltd.
★ 4.7 31 ratings Health & Fitness Free Data updated 2026-09-06
SeungJae Son
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
SHP Corporation
★ 5.0 1 ratings Health & Fitness Free Data updated 2026-09-10
Ho Seong Shin
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-11
ShenZhen Breo Technology Co., Ltd.
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
FirstDIS
★ 3.0 1 ratings Medical Free Data updated 2026-09-08
Aiple Inc.
★ 5.0 1 ratings Health & Fitness Free Data updated 2026-09-06
CITUS.CO.,Ltd
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
EZNwellness Co.,Ltd
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Stone-I Co., Ltd.
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
IFU INTERNATIONAL Co.,Ltd
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
MOA Life Plus Co.Ltd.
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
CHOAZSOFT Corp
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Myounghoon Yoon
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Foodnamoo Inc.
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
gongju city
★ 5.0 1 ratings Travel Free Data updated 2026-09-06
sungil park
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
alonestandsmalcolm
Track 1RM progress with graphs
Track 1RM (maximum one-rep weight) to analyze fitness progress and view growth trends visually. Calculate training weights for 60%, 70%, 80% of 1RM. Manage 1RM records per exercise with history and graphs.
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Medical AI 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