Track speed, distance, altitude, and heading with real-time GPS data. Record trips with route tracking and save journeys for later. View live maps with position updates. Export trip data for analysis.
Read and interpret OBD2 diagnostic trouble codes. Reset the check engine light. Monitor real-time vehicle data. Communicate with ELM 327 devices. View sensor values and system statuses. Save and share diagnostic reports.
Monitor performance with real-time CPU, memory, and battery usage tracking. View detailed hardware specifications and storage information. Run system tests, benchmark apps, and analyze network activity.
Test your iPhone or iPad for display issues, sensor functionality, and connectivity. Perform brightness, color, touch, and multi-touch . sound, keyboard, and notification LED. Verify warranty status and run comprehensive system diagnostics.
Monitor sensors and permissions to manage access. View battery usage, storage, and network activity. Control privacy settings and track performance metrics. Sync data across iOS and macOS devices.
Track , distance, altitude, and heading in real time with GPS. View live position on an interactive map. Record trips with detailed route mapping and save journeys for later review. Switch to HUD mode for hands-free navigation.
Detects humanoid bodies and homogeneous shapes using depth sensor data. Identifies people and object-shaped forms with accuracy comparable to Kinect SLS cameras. Works with Apple LiDAR-equipped devices for improved visibility in low light.
The app displays built-in device sensor values including acceleration, heading, pressure, position, altitude, and speed. It also retrieves location name and elevation from GeoNames, and local weather data from World Weather Online.
Device performance with real-time data on thermal states, memory usage, CPU usage, network activity, and storage. Switch between light and dark themes. Receive regular updates for new features and improvements.
Explore surroundings with Wi-Fi and Bluetooth scans
Helps users identify nearby Wi-Fi and Bluetooth devices. It uses the magnetometer sensor to detect magnetic field changes. The includes an infrared filter tool for analyzing environmental light conditions.
Scan nearby Bluetooth devices and view their signal strength. Detect and monitor Bluetooth Low Energy peripherals. Identify iBeacon and Eddystone formats including UID, TLM, and URL. Locate lost Bluetooth devices like fitness trackers.
Performance with real-time memory and CPU usage tracking. View information and test GPS, accelerometer, and gyroscope sensors. Detect and analyze sensor data for troubleshooting and optimization.