Home / Alternatives to Average: Compare & Improve Apps Like Average: Compare & Improve for iPhone and iPad
by ZBGC LLC ★ 5.0 2 ratings Health & Fitness Free Data updated 2026-09-06
Ranked alternatives Showing 661–680 of 1,000 ranked alternatives.
Alifba LTD
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
乐康 曾
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
V6CO LLC
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Alexander Guerrero
★ 5.0 1 ratings Health & Fitness Free Data updated 2026-09-06
Martin Sharp
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Sophon Labs Limited
★ 5.0 1 ratings Health & Fitness Free Data updated 2026-09-06
lohith nagaraj
★ 5.0 2 ratings Health & Fitness Free Data updated 2026-09-06
apposter.inc
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Moritz Tucher
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Koji Watanabe
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Janki Panchani
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Burak ARGUN
Track metrics and analyze progress
Track body metrics like weight, BMI, and body fat. Log daily meals and water intake. Set and monitor fitness goals. Sync data across devices. View progress charts and receive personalized insights. Manage workout routines and track activity levels.
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
VSA AI HK LIMITED
★ 5.0 2 ratings Lifestyle Free Data updated 2026-09-06
John Mitchell
★ 5.0 2 ratings Lifestyle Free Data updated 2026-09-06
Adam Prose
★ 0.0 0 ratings Health & Fitness $1.99 Data updated 2026-10-05
发桂 黄
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Thryve Wellness
★ 5.0 2 ratings Health & Fitness Free Data updated 2026-09-06
Mert Bolkba
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Gustavo Silva
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Pavel Zak
★ 3.0 1 ratings Utilities Free Data updated 2026-09-21
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
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