Apps Like STF Sleep Research for iPhone and iPad
STF Sleep Research screenshots
Ranked alternatives
Showing 61–80 of 1,000 ranked alternatives.


Flourish: 24/7 Wellness Buddy
Flourish Science Inc.
Practice mindfulness and track mood daily
Track mood and emotions with daily prompts. Set mindfulness goals and receive guided sessions. Access cognitive behavioral techniques and journal entries. Receive personalized feedback and progress reports. Sync data with wearable devices.

RingConn
Onovo Technology (Hong Kong) Limited
Track sleep stages and heart rate
Monitor sleep patterns with detailed stages, heart rate, and a sleep score. Track steps, calories burned, activity intensity, and standing time. View sleep data and activity metrics in the .

TOZO Wear
TOZO INC
Track sleep stages and heart rate data
Track sleep stages and monitor heart rate through a smartwatch. Record steps, calories, distance, activity time, and standing duration. Initiate and sync sports sessions with the device.


iWOWNfit Pro
Kunekt Technology Company Limited
Track steps, calories, and sleep daily
Track steps, calories burned, distance, and time with pedometer features. Monitor sleep patterns and use GPS for sports tracking. Sync data from a Bluetooth-enabled bracelet and integrate with Apple Health.


Clairoe: Sleep & Balance
Arcascope Inc
Set goals and track progress
Tracks patterns and circadian rhythms using data from Apple Health and motion sensors. Provides personalized recommendations on light exposure, eating times, and caffeine intake.





Auto Sync for Fitbit to Health
Rong Liu
Data to Apple
Data to Apple automatically. Track heart rate, steps, walking and running distance, flights climbed, and sleep. View history and daily data summaries. No manual setup required.



Sleep Music Alarm
tadahito hiraoka
Wake up to and track
Wake up to custom playlists or recordings. Track patterns and set alarms with timer functionality. Syncs with tracking devices and offers customizable settings.




How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.