SipLog - Drink Tracker app icon

Apps Like SipLog - Drink Tracker for iPhone and iPad

by Jakir Hossain★ 5.01 ratingsLifestyleFreeData updated 2026-09-06
App detailsView in App Store

Ranked alternatives

Showing 341–360 of 1,000 ranked alternatives.

  2. Water Drinking Reminder* app icon

    Water Drinking Reminder*

    Steve Veloudos

    Track intake and set reminders

    Track daily intake with a personalized goal based on body weight. Set reminders to drink throughout the day. Monitor progress with visual indicators and adjust goals as needed. Sync data across devices for consistent tracking.

    ★ 4.636 ratingsHealth & FitnessFreeData updated 2026-09-06
    App details
  1. LIT: drink with friends! app icon

    LIT: drink with friends!

    WB Digital LLC

    Connect friends through shared drinks

    Users take a selfie a to join a social event. The notifies them who is drinking and allows accepting invitations to join the party. Users can view and interact others in real-time.

    ★ 5.08 ratingsSocial NetworkingFreeData updated 2026-09-06
    App details
  2. Soul Good Official app icon

    Soul Good Official

    Incentivio, Inc.

    Order coffee and fresh meals anytime

    Order fresh coffee and snacks. Browse menu items with ingredient details. Customize orders with dietary preferences. Track order status and payment history. Share orders with others.

    ★ 5.010 ratingsFood & DrinkFreeData updated 2026-09-06
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  3. Caffix app icon

    Caffix

    Tunde Timea Bartha

    ★ 0.00 ratingsFood & DrinkFreeData updated 2026-09-06
    App details
  8. AlexaFit – Meal Calorie Track app icon

    AlexaFit – Meal Calorie Track

    Laszlo Mile

    Meals and calculate daily calories

    Intake and calculate daily needs to manage weight. Log meals and monitor nutritional progress. Customize plans based on personal goals. View detailed stats on protein, carbs, and fat consumption.

    ★ 5.014 ratingsHealth & FitnessFreeData updated 2026-09-06
    App details

How we rank alternatives

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