Apps Like Pickle Tracker for iPhone and iPad
Ranked alternatives
Showing 181–200 of 1,000 ranked alternatives.
Athletica AI Training Plans
Athletica Inc.
Train with AI-powered workouts
Plan weekly schedules by dragging and dropping workouts. Review daily session goals and structure before starting. Track progress with AI-generated insights and adjust based on performance data.
Golf Coach AI
Nodirbek Akhmedov
Record swings, analyze technique, get feedback
Record swings with device camera and upload videos. AI analyzes swing mechanics and identifies flaws. Receives personalized recommendations to improve technique. Tracks progress over time.
SUPRĀ TRAINING by Ross Edgley
Gameplan Apps, Inc
Train with and build the version
Train with using structured workout plans and progress tracking. Set fitness goals and receive personalized feedback. Sync workouts with Apple Health and view performance metrics.
Physmodo
Physmodo, Inc.
Assess, track, and improve movement
Perform movement assessments to evaluate mobility and posture. Track progress over time with personalized insights. Receive targeted exercises to improve movement and recovery. Sync data with other fitness apps for comprehensive health monitoring.
SuppAI Supplement Reminder
Jelena Kadenic
Track supplements and intake cycles
Track intake by answering routine questions and adding supplements manually or via AI-powered photo recognition. Set reminders for doses and cycles. Monitor consistency and avoid missed supplements.
Day by Data
NGEN ART CO
Create visualizations from your
Turn into visualizations and art. View step counts, Spotify top songs, and high score days. Generate personalized reports and track achievements over time. Share visualizations and art pieces directly.
Step Daily Walk
David Leyva Abrahantes
Track steps, set goals, stay active
Track steps with an accurate pedometer. View , weekly, and monthly activity charts. Set personalized goals and monitor progress. Sync data with health apps for comprehensive fitness tracking.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.