43+ similar apps compared and reviewed
SelfGuard is great, but it's not the only option. Explore 43+ similar apps for iPhone and iPad, each reviewed and rated by real users. Find free alternatives, premium upgrades, and hidden gems.
Get daily nutrition tips from certified nutritionists with a subscription to this app, and start your journey to a healthier lifestyle. With features like customizable notifications, saved tips, and a tip tracker, you can easily incorporate healthy habits into your daily life.
Access your personalized home exercise program with instructional videos and track your progress with awards. Securely message your physical therapist and book appointments. Integrates with Apple Health for activity monitoring.
Estimate your Blood Alcohol Content (BAC) using a method trusted by professionals. Plan ahead to understand how quickly a certain BAC might be reached or how long it takes to metabolize drinks. This tool can also estimate BAC in real-time.
Easily export your health data from your device into simple CSV files. This app integrates with the Health app to access your information and convert it locally, ensuring your data is only shared with your explicit consent.
This app uses vocal biomarker science to assess your mental fitness through short speech samples. It provides personalized score trends, insights, and tips for improvement. Your voice is automatically converted into a private, digital text journal for review.
This app simplifies weight lifting routines by automating complex calculations for exercises and optimal weight. It guides users through workouts set-by-set, like a personal trainer, and allows for the discovery and sharing of community-proven routines.
This app helps users track their eating and fasting windows to support weight loss and fitness goals. It requires no special diets and is suitable for all experience levels. The app provides notifications and progress tracking for a simplified approach to intermittent fasting.
This ResearchKit study explores the link between mood and cognitive function in bipolar disorder using typing patterns and passive sensor data. Both individuals with bipolar disorder and healthy participants are needed to help identify objective biomarkers.
