nRF Edge Impulse vs Detect Edge
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
nRF Edge Impulse
Train and deploy embedded machine learning models on a Nordic Thingy:53 device. Upload sensor data to the cloud for training and deploy models back to the device via Bluetooth LE. Supports various onboard sensors for data collection and inference.
- Train and deploy embedded ML models
- Utilizes Edge Impulse Studio
- Supports Nordic Thingy:53
- Upload raw sensor data
- Deploy models via Bluetooth LE
- Collect data from multiple sensors
- Label data for training/testing
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nRF Edge Impulse app is developed in collaboration with Edge Impulse to train and deploy embedded machine learning models on the Nordic Thingy:53 using Edge Impulse Studio. Every Nordic Thingy:53 comes pre-installed with firmware compatible with the nRF Edge Impulse mobile app. The app allows you to upload raw sensor data via your mobile device to the cloud-based Edge Impulse Studio and deploy fully trained ML models to the Nordic Thingy:53 over Bluetooth® Low Energy (LE). The app allows you to choose between existing projects in Edge Impulse studio data or creating a new project and can collect sensor data from the following set of sensors on the Nordic Thingy:53: - Accelerometer - Microphone - Magnetometer - Light - Temperature, Pressure, Humidity and Air quality - Inertial (Accelerometer and Magnetometer) - Light and Environment - Light and Inertial - Environment and Inertial - Light and Environment and Inertial The collected sensor data can be labeled as training or testing data and may be inferenced directly in the app with machine learning model deployed to the Nordic Thingy:53. A free Edge Impulse account, which may created from the app or at www.edgeimpulse.com, is required to connect nRF Edge Impulse with Edge Impulse studio.
Detect Edge
Collect, label, and upload time series sensor data from your Thingy:53 device to Edge Impulse. This tool streamlines the process for edge AI development.
- Collect time series sensor data
- Label data for AI
- Upload to Edge Impulse
- Supports Thingy:53 device
- Streamlined edge AI workflow
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The fastest way to collect, label, and upload time series sensor data from your Thingy:53 to Edge Impulse
Screenshots
Verdict
The clearest difference is update cadence: Detect Edge at weekly against nRF Edge Impulse's every 3 months. nRF Edge Impulse's advantage is ratings volume (3 vs 1). On price, rating, ads and in-app purchases 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
Both are free to download. Neither carries in-app purchases, so what you see is what you pay.
On the App Store both sit at effectively the same score — 5.0 for nRF Edge Impulse against 5.0 for Detect Edge. Both are backed by a comparable volume of ratings — 3 and 1 respectively.
nRF Edge Impulse ships an update every 3 months, Detect Edge weekly. The most recent releases landed on September 21, 2026 and September 9, 2026 respectively.
| Parameter | nRF Edge Impulse | Detect Edge |
|---|---|---|
| Price | Free | Free |
| Rating | 5.0 (3 ratings) | 5.0 (1 ratings) |
| Positive reviews | 0.0% of reviews | — |
| Number of ratings | 3 — better | 1 |
| Update frequency | Every 3 months | Weekly — better |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | Free | Free |
| Devices | iPhone, iPad, Mac — better | iPhone, iPod |
| Requires iOS | 16.0 | 15.6 — better |
| Further details — not scored | ||
| Size | 4 MB | 87 MB |
| Age rating | 4+ | 4+ |
| Developer | Nordic Semiconductor ASA | Detect Labs |
Customer experience
nRF Edge Impulse
Detect Edge
In-app purchases
nRF Edge Impulse
No in-app purchases
Detect Edge
No in-app purchases
Questions
Is nRF Edge Impulse free?
Is Detect Edge free?
Which has better reviews, nRF Edge Impulse or Detect Edge?
Do nRF Edge Impulse or Detect Edge have ads?
Which is updated more often, nRF Edge Impulse or Detect Edge?
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