Apps Like double keep for iPhone and iPad
Ranked alternatives
Showing 1–20 of 72 ranked alternatives.
Keep - AI 运动教练
Beijing Calorie Technology Co., Ltd.
Train with AI, track progress, set goals
Track workouts, analyze movement form, and provide real-time feedback. Set personalized fitness goals and receive tailored exercise recommendations. Monitor heart rate and adjust intensity. Sync with wearable devices to consolidate fitness data.
Yodo Run - keep fit, feel good
Shenzhen Rejoice Sport Tech. Co., LTD.
Track steps, run, cycle, and fitness
Track steps, runs, cycling, walking, and fitness with accurate data. Earn cash rewards through daily challenges and team competitions. Join activity groups to share experiences and plan workouts.
Keep it Better
Kendine iyi Bak Teknoloji Anonim Sirketi
Manage health records and appointments remotely
Manage personal health with appointment scheduling, report tracking, and hospital information access. View medical records, prepay for services, and reduce waiting times at hospitals. Receive notifications and access discounted rates for prepayments.
Keep It Off
OBESITY TREATMENT CENTER, A MEDICAL CORPORATION
Track weight and schedule appointments
Schedule and attend virtual medical appointments via video calls. Track weight and health metrics. Access ongoing support and educational resources. Order and manage meal replacement products.
Maintain Heart: Keep Healthy
梦瑶 陈
Track heart rate and blood pressure
Track heart rate, blood pressure, and blood sugar levels. Receive in-depth health analysis and personalized advice. Set goals for habits and balanced diet. Sync data with Apple Health for comprehensive wellness management.
Keep A Breast
The Keep A Breast Foundation
Schedule monthly checks and track progress
Provides step-by-step self-check tutorials with animated gifs. Guides users through self-exams. Allows scheduling of monthly reminders based on menstrual cycle. Includes tips for different cycle phases. Tracks self-check progress and history.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.