SensorLog vs Acc Alert
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
SensorLog
Record and stream sensor data from your iPhone, iPad, and Apple Watch. Export data in CSV or JSON format, or send it via TCP, UDP, or HTTP requests. Integrates with Core ML models for advanced analysis.
- Log sensor data up to 100Hz
- Stream data via TCP/UDP or HTTP
- Export data as CSV or JSON
- Remote client/server functionality
- Siri and Shortcuts integration
- Core ML model support
- HealthKit data export from Apple Watch
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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
Acc Alert
Monitor device motion and receive alerts when acceleration surpasses a user-set threshold. This utility app helps track sudden movements.
- Motion force monitoring
- Customizable acceleration limits
- Alerts for exceeding limits
- Device motion tracking
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Watch the motion force on your device and get alarmed when the acceleration exceeds a self defined limit.
Screenshots
Verdict
The clearest difference is review sentiment: SensorLog at 69% against Acc Alert's 0%. SensorLog also leads on rating (4.4 vs 1.0) and update cadence (every 2 months vs every 14 months). Acc Alert's advantage is in-app purchases (none vs 4) and price ($0.99 vs $2.99). On ads and device support there is nothing between them.
Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS
SensorLog costs $2.99 and Acc Alert $0.99 up front. SensorLog sells 4 one-off in-app purchases. Acc Alert asks for nothing beyond the download.
SensorLog holds the better App Store score, 4.4 against 1.0. That said, the two scores are not equally well evidenced: SensorLog has 40 ratings behind it against 1, so its average is the more settled of the two. Written reviews point the same way: 69% of SensorLog's written reviews are positive against 0% of Acc Alert's.
SensorLog ships an update every 2 months, Acc Alert every 14 months. The most recent releases landed on September 30, 2026 and June 5, 2026 respectively.
| Parameter | SensorLog | Acc Alert |
|---|---|---|
| Price | $2.99 | $0.99 — better |
| Rating | 4.4 (40 ratings) — better | 1.0 (1 ratings) |
| Positive reviews | 69.0% of reviews — better | 0.0% of reviews |
| Number of ratings | 40 — better | 1 |
| Update frequency | Every 2 months — better | Every 14 months |
| Ads | No | No |
| In-app purchases | Yes | No — better |
| Monetization | Free with in-app purchases — better | Paid |
| Devices | iPhone, iPad, Apple Watch | iPhone, iPad, iPod |
| Requires iOS | 18.0 | 11.0 — better |
| Further details — not scored | ||
| Size | 4 MB | 5 MB |
| Age rating | 4+ | 4+ |
| Developer | Bernd Thomas | Piet Jonas |
Customer experience
SensorLog
Acc Alert
In-app purchases
SensorLog
- Buy me a Coffee ...$0.99
- Spend me an Ice Cream ...$1.99
- Offer me a glas of Wine ...$5.99
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- Invite me for a Cocktail ...$9.99
Acc Alert
No in-app purchases









