Apps Like Last Call - an alcohol tracker for iPhone and iPad
Last Call - an alcohol tracker screenshots
Ranked alternatives
Showing 341–360 of 1,000 ranked alternatives.



Water Tracker App – Waterbent
DMITRIY LIGAY
Track intake and set reminders
Track hydration by logging and other beverages. Set personalized intake goals based on weight, gender, activity level, and weather. Receive smart reminders at optimal intervals. Adjust goals with a single tap.







QuitNowPath: Quit Smoking Now
KEVIN MIGUEL RIVERO MARTIN
Track progress and set goals
Set goals and receive personalized reminders with progress tracking and detailed statistics. Get practical tips and motivational notifications. View graphs showing achievements. Calculate savings and track well-being improvements.


FoodView - Photo Food Diary
FoodView Pty Ltd
Capture meals, share moments, track intake
Capture and log meals with a single . View items and quantities automatically recognized from the image. Share entries with healthcare professionals for accurate nutrition insights. Track daily intake without manual entry or calorie counting.




Since iQuit
DUNK Ltd
Track time and financial savings.
The app tracks time since stopping smoking, drinking, or other habits. It provides estimated financial savings and serves as a motivational aid to help users stay free of what they are quitting.

MegaCalcBox - Multi Calculator
Kind Park LLC
Calculate finances, track health, plan travel, manage
Perform complex calculations with 35+ professional calculators covering finance, health, travel, and utilities. Input values, view examples, save favorites, and get instant results. Switch between dark and light modes. No advertisements.

drink water-everyday
Chengdu Aishang Office Technology Co., Ltd.
Track drinks and view daily progress
Track water intake by logging each and selecting from various beverage options. View daily progress through intuitive graphs and detailed records. Ensure privacy with secure storage of all user data.


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