Life Without: Quitting Program app icon

Apps Like Life Without: Quitting Program for iPhone and iPad

by Spruzzo Labs Inc.★ 0.00 ratingsLifestyleFreeData updated 2026-09-06

Ranked alternatives

Showing 301–320 of 1,000 ranked alternatives.

  1. Habit Tracker - Mindle app icon

    Habit Tracker - Mindle

    Bilol Mamadjanov

    Track habits, set goals, and stay consistent

    Track daily habits with scheduled reminders and streak tracking. Set measurable goals and monitor progress. Use Pomodoro timers linked to tasks. Access guided programs for structured change. Sync data across devices via iCloud.

    ★ 4.824 ratingsProductivityFreeData updated 2026-09-06
  2. Quit Vaping - Vape Buster AI app icon

    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.

    ★ 4.03 ratingsLifestyleFreeData updated 2026-09-06
  1. Yonks – Day Counter app icon

    Yonks – Day Counter

    Stefan Grund

    Count days, track events, set reminders

    Track days between dates for past and future events. Calculate days since birth, marriage, or any personal milestone. Set reminders for upcoming deadlines, vacations, or habit tracking. View countdowns in days, weeks, or hours.

    ★ 4.419 ratingsProductivity$1.99Data updated 2026-09-15
  2. Rewyre app icon

    Rewyre

    SGES Dev LLC

    ★ 5.040 ratingsHealth & FitnessFreeData updated 2026-09-06
  3. 4:21 - How to Quit Weed app icon

    4:21 - How to Quit Weed

    Centerpoint AI LLC

    Cannabis with daily plans and craving relief

    Smoking , vaping cannabis, or using edibles with a 24/7 support system. Track progress, set goals, and receive personalized coping tips for cravings and anxiety.

    ★ 4.311 ratingsHealth & FitnessFreeData updated 2026-09-06

How we rank alternatives

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