Apps Like Honav Interactive Pins for iPhone and iPad
Honav Interactive Pins screenshots
Ranked alternatives
Showing 341–360 of 1,000 ranked alternatives.


iAnalyze
Winning Edge Apps, Inc
In-depth sports video analysis technology.
The app provides video analysis for sports clips using machine learning to draw joint lines and angles. Users can track barbell speed, overlay center of mass path lines, and compare videos side by side.

StrengthMark
Salt River Software, LLC
Track progress, plan workouts, log lifts
Track progress with detailed workout logs and performance metrics. Set and monitor personal records for lifts. Plan and customize training programs for powerlifting, strongman, olympic weightlifting, or general strength training.





Slot Car Race
Sea Venture LLC
Slot car racing simulation game.
The app simulates slot car racing on realistic tracks. Users can race against the computer or design their own tracks.


Swagger Eyes: SprintTimer
Souletics, LLC
Track sprints, analyze speed, coach workouts
Record and time 40-yard dashes, 100m sprints, BMX, and workouts with video precision. Use AI to create training plans and analyze sprint speed. Track performance metrics and set goals for improvement.

The Bowling Buddy
Robert Beasley
Score games and save results
Track scores with a simple interface. Record individual and team scores. View overall averages and additional statistics. Share scores via social media. Export results by email. Supports iOS10.




Let's Bowl
Line Drift, LLC
Experience bowling anywhere, anytime now.
The app offers a bowling simulation with realistic 3D graphics and finely tuned physics. Intuitive controls allow users to flick the ball down the lane for a strike.

Pinja - Pin Trading at Disneyland & WDW Resort
Brian Finley
Capture pin boards with your camera
View pin boards at and Walt Disney World locations remotely. Users can take photos of pin stations to share with others. Other users can tap on stations to see the photos taken by other users.




How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.