Apps Like Nemo Active Testing App for iPhone and iPad
Nemo Active Testing App screenshots
Ranked alternatives
Showing 161–180 of 1,000 ranked alternatives.

OmniCounts
Smartcount, LLC
Record data, track inventory, sync reports
Collect and manage inventory data using barcode scanning, manual entry, and real-time updates. Sync data with a backend system for tracking stock levels and generating reports. View and edit inventory records directly on the device.



IoT Plug and Play
Microsoft Corporation
Send sensor data to Azure IoT cloud
Turn your phone into an IoT device to send sensor data like accelerometer, gyroscope, and magnetometer to Azure IoT. Send and receive commands and device twin updates. Upload media to Azure storage. Connects to Azure IoT Central or Azure IoT Hub.


Peak AI
Peak AI Solutions Inc.
Manage data, generate insights, report results
Capture and digitize measurement charts using computer vision and image recognition. Export data in various formats. Integrate with accounting and reporting systems for energy industry use. Analyze and share measurement data for operational insights.


iPerf - Speed Test Tool
Surge Networks Inc.
Network and bandwidth
Measure network performance by testing TCP bandwidth and UDP characteristics. Run as client or server. Customize testing parameters. Display Wi-Fi link and SSID. Compatible with iperf3 on other platforms.




Raspberry Pi.
Niklas von Weihe
Monitor and control your Pi remotely
Manage and control Pi devices from an iPhone or iPad. Monitor system status, locate devices on the network, and perform actions without using SSH. Set up new devices, manage multiple systems, and access system logs and settings.



View Source Premier
Andrey Uspanov
Edit and code snippets instantly
And analyze HTML, XML, JavaScript, CSS, JSON, RSS, and ATOM code. Support for iPhone, iPad, and Mac devices. Browse code with intuitive navigation. Edit and format code directly. Save and export code files. Sync code across devices.


How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.