Apps Like Quit & Stop Smoking Tracker for iPhone and iPad
Ranked alternatives
Showing 61–80 of 1,000 ranked alternatives.



Finito: Stop Smoking
Mindset Health Pty Ltd
Quit with guided hypnosis
Hypnotherapy offers guided sessions to address habits. Users can access self-hypnosis programs to manage cravings and change subconscious behaviors. Tracks progress and provides tailored suggestions to support long-term quitting.



Tobakko: Quit smoking now
ROBS TECHNOLOGIES
Track progress, calculate savings, share goals
Track cessation progress with real-time statistics and motivational features. Calculate life expectancy, money saved, and cigarettes not smoked. Share achievements with friends to boost motivation. Set and monitor personal goals.





Grounded: Quit Weed Smoking
Christopher Onuigbo
Track progress and manage tolerance breaks
Track progress with daily logs, set dates, and monitor cravings. Receive reminders and motivational messages. Calculate cannabis tolerance and track withdrawal symptoms. Sync data across devices and view habit patterns over time.


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 Smoking App
Tobacco Control Office, Department of Health
Assist smokers to overcome tobacco dependence.
The app helps smokers overcome tobacco dependence by assessing nicotine dependence, setting quit plans, and recording progress. It also provides health information and tips to remain tobacco-free.


Quit Smoking Goals
ShenZhen Meiyinet Technology Co.,Ltd
Track progress, set ,
Track habits with daily logs and progress charts. Set personalized plans and receive weekly reminders. Access expert tips and motivational messages to support long-term cessation. Monitor cravings and track milestones toward a smoke-free lifestyle.



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