Apps Like QuitPath for iPhone and iPad
Ranked alternatives
Showing 261–280 of 1,000 ranked alternatives.


Stop Cigarette - Cigs Counter
Tatiana Berezovsky
Cigarettes, log reasons, stay motivated
Log cigarettes with quick entry and retroactive logging. reasons and associated pleasure. View detailed charts and insights into triggers. Calculate money and time saved. Set and monitor daily limits. consecutive days within limits.



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.








SmartPulse Heart Rate Monitor
PARAMOUNT CODERS LTD
Track pulse, record readings, meditate daily
Track pulse manually or via Apple Watch for accurate readings. Log daily water intake and set reminders. Access guided meditation sessions to reduce stress and improve focus.

Quit smoking - CigArrête
Maureen SURCIN
With daily support
Track habits and set dates. Log daily cigarette counts and monitor progress. Access motivational resources and tips. Connect with others for support and share experiences. Set reminders and receive encouragement throughout the quitting process.

CiggyCount - Watch your smokes
Christian Beelte
Motivation to stop smoking entirely.
The app shows users detailed statistics about their daily and monthly costs and inhaled poisons. It provides motivation to stop smoking entirely.


Stop Tobacco Mobile Trainer
Iteration Mobile S.L
Quit smoking with guided sessions
Provide personalized counseling sessions led by licensed therapists. Track progress through daily check-ins and mood assessments. Set quit dates and receive tailored support.



Fast+: Intermittent Fasting
UPLOSS LIMITED
Track progress and manage goals
Track and eating schedules, set and monitor weight loss goals. Log water intake and receive personalized insights. Access science-based plans and metabolic health tools.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.