Apps Like NoiseFit Sync for iPhone and iPad
NoiseFit Sync screenshots
Ranked alternatives
Showing 61–80 of 1,000 ranked alternatives.
PEJE
Shenzhen Zhilian Shengya Electronic Technology Co., Ltd.
Sync time via Bluetooth
Sync watch time via Bluetooth for accurate timekeeping. Receive and view message notifications including texts, calls, and social media alerts. Track health metrics such as heart rate and activity levels.
YPOOFIT
Hang zhou yi pao health Technology Co.,Ltd
Track workouts, sync gear, analyze data
Track workouts with real-time data recording. Connect compatible sports equipment for monitoring. Access structured training programs for fat loss and muscle shaping. Analyze body metrics and exercise performance.
AFit Health
Shenzhen Elink Things Co., Ltd
Track body data and analyze metrics
Track body weight and measure 18 metrics including BMI, body fat rate, muscle mass, and water content. Analyze data through bio-resistance technology. Record and manage data over time. Sync with Bluetooth smart scales for accurate measurements.
Apexmove
HONGKONG AMAZWEAR TECH CO., LTD.
Track steps, calories, and progress
Track steps, calories burned, heart rate, and sleep quality through intuitive dashboards and analytics. Customize workout plans based on preferences and fitness levels. Set and monitor goals with progress tracking and reminders.
Peptide Tracker Calculator
Wild Monkey Labs, LLC
Track doses and schedule injections
Track , steroid, GLP1, and oral medication schedules with a calendar and alerts. Log injection sites with rotation history and custom locations. Calculate doses in mg, mcg, pg, IU, and visualize syringe fills for accurate administration.
KyPass - KeePass in Sync
Miguel Vanhove
Securely store and passwords across devices
Manage passwords and sensitive data with encrypted database storage. Import and organize credentials securely. across devices using iCloud, Dropbox, Google Drive, OneDrive, SFTP, or WebDAV. Backup and restore databases remotely.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.