Sensor-Stream

Live Motion Sensor Streaming

Free · Designed for iPhone. Not verified for macOS.

Stream, visualize, and record real-time motion sensor data from your iPhone or Apple Watch with smooth live graphs and exportable CSV recordings. SensorStream turns your iPhone and Apple Watch into real-time motion sensor tools. Select a device, choose the sensor streams you need, and view smooth live graphs with sampling- rate information. Record sessions locally and export the captured data as CSV files for analysis, research, testing, or development. Features include: • iPhone and Apple Watch sensor streaming • Accelerometer and gyroscope data • Gravity and magnetic-field measurements • Pitch, roll, yaw, quaternions, and rotation matrices • Live sampling-rate display • Selectable sensor channels • Smooth, full-width graphs • Local recording with pause and resume controls • CSV file sharing and deletion • Light and dark appearance support Available streams depend on the selected device and its hardware capabilities. SensorStream excludes HealthKit-dependent biometric data.

  • 5.0
    out of 5
    1 Ratings

The developer, Yerim Lab LLC, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy .

  • Data Not Collected

    The developer does not collect any data from this app.

    Privacy practices may vary, for example, based on the features you use or your age. Learn More

    The developer has not yet indicated which accessibility features this app supports. Learn More

    Seller
    • Yerim Lab LLC
    Size
    • 31.1 MB
    Category
    • Utilities
    Compatibility
    Requires iOS 18.0 or later.
    • iPhone
      Requires iOS 18.0 or later.
    • Mac
      Requires macOS 12.0 or later and a Mac with Apple M1 chip or later.
    • Apple Vision
      Requires visionOS 2.0 or later.
    • Apple Watch
      Requires watchOS 9.0 or later.
    Languages
    • English
    Age Rating
    4+
    Copyright
    • © 2026 Yerim Lab