DrinkData app icon

Apps Like DrinkData for iPhone and iPad

by AARON MATTHEW WOODS★ 0.00 ratingsHealth & FitnessFreeData updated 2026-09-06

Ranked alternatives

Showing 101–120 of 1,000 ranked alternatives.

  1. Momiary: Pregnancy Tracker app icon

    Momiary: Pregnancy Tracker

    Chuong Tran Phuc

    Track weeks and health updates

    Track menstrual cycles and ovulation dates with daily logging and predictive analytics. Monitor symptoms like cramps and mood changes. Receive personalized health insights and reminders for prenatal checkups and medication.

    ★ 4.51,418 ratingsHealth & FitnessFreeData updated 2026-09-06
  2. SipBuddy: #1 Drink Less App app icon

    SipBuddy: #1 Drink Less App

    Metellus Productions LLC

    Track drinks, set goals, and stay accountable

    Track alcohol consumption, dry days, and mood with simple logging. Earn achievement badges and maintain streaks to stay motivated. Set goals and receive reminders to encourage consistent progress.

    ★ 5.09 ratingsHealth & FitnessFreeData updated 2026-09-06
  3. Soft Challenge app icon

    Soft Challenge

    White Belt Development LLC

    Set daily goals and adjust tasks as

    Create and customize daily habits for health and wellness. Set workout schedules, track diet and alcohol consumption. Adjust tasks and durations to fit personal goals and lifestyle.

    ★ 4.8282 ratingsHealth & Fitness$1.99Data updated 2026-09-09
  4. QRing app icon

    QRing

    Shenzhen Qingcheng Wireless Technology Co., Ltd.

    ★ 2.7360 ratingsHealth & FitnessFreeData updated 2026-09-09
  5. Daybreak - Alcohol Support app icon

    Daybreak - Alcohol Support

    Hello Sunday Morning

    Track progress, set goals, log drinks

    Track daily consumption and set personal goals for reduction or abstinence. Log drinks with type and amount. Receive weekly progress reports and motivational messages. Access educational content about effects.

    ★ 4.286 ratingsHealth & FitnessFreeData updated 2026-09-06

How we rank alternatives

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