Apps Like Fullpower® Sleep for iPhone and iPad
Track patterns and monitor health metrics
Create an account after receiving an invitation. Follow guided setup to configure hardware. Once set up, monitoring occurs automatically with data sent directly to your provider.
Fullpower® Sleep screenshots
Ranked alternatives
Showing 181–200 of 1,000 ranked alternatives.
HealthTrac
SetPoint Health Corp
Track health metrics conveniently from iPhone.
The app allows users to track daily progress, weight, exercise, sleep, and meals. It integrates with Apple Health to display user data like weight and steps.
FunDo Pro
Shenzhen Fenyun Technology Co., Ltd.
Sync health data and track metrics
Track daily movement to calculate calories burned, distance, and time spent active. Monitor sleep patterns to determine deep and light sleep duration. Sync health data from wearable devices for comprehensive analysis.
Label AI: Food & Cosmetic Scan
Canicel Investments Inc.
Labels, track meals, get insights
Answer lifestyle questions to create a personalized health plan. product barcodes to view hidden ingredients. Receive detailed insights tailored to your health goals. Track choices and learn about harmful chemicals and hormone impacts.
FairHammer
Ruud van der Wel
Breathing exercises aid with hardware.
The app works with GroovTube breathing exerciser hardware. It detects breathing strength, speed, and duration to move a graphic.
ClusterUck
S.J.M. Kolff
Track headaches and log symptoms
Track headache episodes with detailed logging of attack duration, pain location, and triggers. Log symptoms and medication use. Generate reports and set reminders for treatment adherence. Sync data across devices for consistent monitoring.
Meditation & Sleep – Practico
PRAKTIKA, INC.
Meditate with guided audio lessons
Listen to guided sessions for stress relief, , focus, and relaxation. Access themed audio guides for daily use. Enjoy bedtime stories to aid . Follow a beginner's guide with ten simple lessons to learn basics.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.