Apps Like Vapend - Quit Vaping Tracker for iPhone and iPad
Ranked alternatives
Showing 41–60 of 1,000 ranked alternatives.



Sober: Sobriety Tracker
Red Penguin LLC
Track days, build habits, connect with community
Track sobriety with daily progress logs and goal setting. Monitor hydration, sleep, and mood. Connect with a community to share experiences and receive support. Set reminders for activities like exercise or meditation.



Quit Weed
Michal Janecek
Track usage, set limits, and safely
Track daily cannabis use with progress logs and set dates. Monitor cravings and moods. Receive motivational prompts and reminders. Sync data across devices. Share achievements and progress with others. Set goals for reduction or cessation.







Weanie - Quit Smoking Tracker
Weanie Pty Limited
Reduce and vaping habits
Set daily and vaping goals based on personal progress. Track usage and milestones. Receive reminders and motivational messages. Adjust weaning schedules as needed. Sync with wearable devices to monitor health metrics.



Quit Vaping Tracker Stop Now
INNOVATIVE DIGITAL TECHNOLOGIES LIMITED
Track progress and maintain streaks
Track daily progress with a streak to monitor consecutive smoke-free days. Log cravings and mood changes in a personalized journal. Set reminders and receive motivational messages to stay committed to quitting or smoking.



Quit Vaping - Vape Buster AI
MUHAMMAD USMAN
Track puffs, count nicotine, build habits
Track daily sessions and set dates. Log nicotine intake and monitor progress over time. Access motivational tips and connect with a community of users striving to . Set reminders and receive notifications to stay on track.

Pelago Health
Digital Therapeutics Ltd
Track progress, set goals, and connect
Access virtual support for substance use recovery, including personalized plans, progress tracking, and expert guidance. Set goals, log daily activities, and receive reminders. Connect with peers and therapists for accountability and encouragement.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.