RAD Study app icon

Apps Like RAD Study for iPhone and iPad

Track drinking patterns and triggers

Track alcohol consumption patterns and identify triggers for high-risk drinking. Record contextual factors like social settings and emotional states. Analyze data to understand relationships between environmental exposures and drinking behavior.

by Avicenna Research Inc.★ 0.00 ratingsHealth & FitnessFreeData updated 2026-09-06

RAD Study screenshots

Ranked alternatives

Showing 421–440 of 1,000 ranked alternatives.

  1. Barnard Fitness Program app icon

    Barnard Fitness Program

    Barnard College

    Track workouts, schedule classes, view schedules

    Track workouts and progress with detailed activity logs. Monitor heart rate and calories burned. Set personal goals and receive reminders. Sync data with wearable devices. View class schedules and instructor information.

    ★ 4.97 ratingsSportsFreeData updated 2026-09-06
  2. Valens - Widgets for Health app icon

    Valens - Widgets for Health

    磊 汪

    Track steps, sleep, and heart rate

    Track metrics like steps, heart rate, and sleep with customizable . Set goals and receive notifications. Monitor hydration, nutrition, and mood. Sync data from fitness devices and view progress charts. Control widget visibility and layout.

    ★ 4.527 ratingsHealth & Fitness$2.99Data updated 2026-10-07
  3. SobHer app icon

    SobHer

    Pink Cloud App Pty Ltd

    Find support, share stories, track progress

    Join a supportive community of women discussing alcohol use and recovery. Share personal stories, connect with others facing similar challenges, and access resources to explore healthier habits and coping strategies.

    ★ 0.00 ratingsHealth & FitnessFreeData updated 2026-09-06
  4. Soob app icon

    Soob

    Soob LLC

    ★ 0.00 ratingsHealth & FitnessFreeData updated 2026-09-06
  5. Optimise app icon

    Optimise

    roadtohealth Group Ltd

    ★ 0.00 ratingsHealth & FitnessFreeData updated 2026-09-28

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.