# SensorLog

> Log and Stream Sensor Data

Canonical page: [https://chrome-stats.com/d/id388014573](https://chrome-stats.com/d/id388014573)

## Overview

- **ID:** `id388014573`
- **Platform:** Apple
- **Type:** Apple app
- **Status:** Available
- **Publisher:** Bernd Thomas
- **Category:** Utilities
- **Rating:** 4.40 / 5 (41 ratings)
- **Version:** 6.1
- **Last updated:** 2024-11-05
- **First published:** 2010-09-08
- **Size:** 3.97 MB
- **Data as of:** 2026-09-20
- **Store listing:** [Apple App Store](https://apps.apple.com/us/app/sensorlog/id388014573)
- **Privacy policy:** [http://sensorlog.berndthomas.net](http://sensorlog.berndthomas.net/)

## Description

Log & Stream Sensor Data

With SensorLog you can read sensor data from the iPhone, iPad and Apple Watch.

The sensor data can be saved as a file in CSV or JSON format, streamed via TCP/UDP or sent as an HTTP request.

The most important functions for iPhone and iPad:

- Sensor data can be recorded at up to 100Hz (depending on the iOS device version and sensor type).
- Sensor data can be streamed in server or client mode using TCP or UDP. Depending on the network speed and the server or client configuration used, this is possible with up to 100Hz.
- Via HTTP(S) GET/POST request, sensor data in JSON format (POST) or form-url encoded (POST and GET) can be transmitted to a REST API with up to 20Hz.
- With the SensorLog Remote Client/Server function, an iPad or iPhone can connect as a SensorLog Remote Client to an iPhone or iPad, which takes on the role of SensorLog Remote Server. The client's sensor data can be visualized on the server, and the server can control the clients (start/stop logging, start/stop sending data).
- Logging can be started and stopped using Siri and shortcuts.
- SensorLog supports Core ML models created with Apple's Create ML app. Log data with SensorLog, train a model with the data in Create ML, load exported models in SensorLog and log the model prediction. Supported Create ML models are: Activity Classifier, Tabular Regressor and Tabular Classifier.
- If you have an Apple Watch, HealthKit data such as heart rate, energy used, sleep and movement data can be exported on the watch as a csv or json file and then transferred to your iPhone.

Sensor data iPhone / iPad:
For sample log files, please visit the SensorLog homepage (link App Support).
- CLLocation, CLHeading, CMAccelerometer, CMGyroData, CMMagnetometer, CMDeviceMotion, CMActivity, CMPedometer, CMAltimeter, WLAN and network provider IP addresses, device orientation, battery info, decibels.

The most important functions for Apple Watch:

- Logging Option 1: Logging duration up to 1 hour
Simultaneous logging of all selectable sensor data is supported in the background with up to 50Hz. Individual sensors can be logged with a higher frequency of up to 100Hz. Sending data via HTTP requests is supported.
- Logging option 2: Logging duration greater than 1 hour
In the background only logging of the accelerometer data with max. 50Hz is supported. In the foreground all sensor data with up to 100Hz. Sending data via HTTP requests is only supported when the app is in the foreground.
- Via HTTP(S) GET/POST request, sensor data can be transmitted to a REST API with up to 10Hz in JSON format (POST) or form-url encoded (POST and GET).
- The Health Store data feature off the SensorLog Watch app allows you to export HealthKit data like heart rate, energy burned, sleep, and movement data. This data is automatically recorded by your Watch and can be read out and exported by SensorLog as csv or json file and transferred to your iPhone.
- Logging can be started and stopped using Siri and Shortcuts.

Sensor Data Watch:
For sample log files, please visit the SensorLog homepage (link App Support).
- CLLocation, CMAccelerometer, CMDeviceMotion, CMActivity, CMPedometer, CMAltimeter, battery info

## Rankings

- #191,911 — Overall

## Review summary

SensorLog is praised for being easy to use, reliable, and capable of streaming a wide range of sensor data with solid export options and responsive support. Key strengths include a straightforward pay-once model and watch data logging. Common drawbacks center on data timing precision, occasional crashes on older devices, and gaps in documentation and watch integration, plus some sensor and axis limitations.

### Pros

- Easy to use and reliable, with a simple pay-once model.
- Supports streaming sensor data over the network to a PC or REST endpoint.
- Wide range of sensor data and raw data access, including watch data in some cases.
- Good export options and data ownership, enabling easy data use.
- Developer responsiveness and active support, including beta collaboration.

### Cons

- Timing/precision issues: sampling rate is not exact (e.g., 60 Hz logged as ~33 Hz) and time stamps can be limited to 0.1 s accuracy.
- Black screen/crashes on older devices (e.g., iPhone 6 Plus with iOS 8.3).
- Lack of clear, comprehensive documentation and ambiguous data field definitions.
- Watch integration is inconsistent or limited, with missing features (e.g., magnetometer) and installation difficulties.
- Sensor gaps and feature requests exist (pedometer, background gyroscope logging, and axis control are not fully supported).

## Similar extensions and apps

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- [BLog App](https://chrome-stats.com/d/id6739615998)

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Source: [Chrome-Stats](https://chrome-stats.com/d/id388014573)
