Apps Like ML Sensing for iPhone and iPad
ML Sensing screenshots
Ranked alternatives
Showing 381–400 of 1,000 ranked alternatives.



Ultra-Aire Psychrometric Calculator
Therma-Stor, LLC
Calculate dew point and grains per pound
Calculate relative humidity, dew point, and grains per pound using temperature and humidity inputs. Spin wheels to input values and view results. Use dehumidifier performance mode to estimate water removal based on selected equipment settings.

GSE
Grupo S Energia, S.A.P.I. de C.V.
Monitor and control energy systems remotely
Monitor and manage HVAC systems, lighting, and cold room settings remotely. View indoor temperatures and adjust settings for specific areas. Access site data and control automation features through the platform.




Trevive App
Naina Gosain
Track soil moisture and temperature
Track plant health by inputting soil sensor data. Monitor moisture, temperature, and humidity levels. Receive real-time analysis and actionable tips to improve plant care. Sync data for ongoing health insights.

Alert Networks Asset Tracker
Alert Networks, LLC
Track assets, scan QR codes, monitor inventory
Track assets using QR and barcode scanning. Add and monitor assets in real time with Bluetooth devices. View locations and statuses. Set alerts for movements. Export tracking data and generate reports. Manage inventory and maintenance schedules.



St. Croix Car Wash
St. Croix Car Wash LLC
, rinse, and dry your car
Schedule car appointments and view service details. Select packages and additional services like vacuum. Receive confirmation and updates via the . Track progress and payment status. Leave feedback after service completion.



iMeet.
Meet International Ltd.
Measure voltage, current, and continuity remotely
Control and monitor electrical measurements like voltage, current, and continuity via Bluetooth 4.0 from up to 10 meters away. Transmit data to iPhone or iPad. Access multiple sensors including clamp meter, lux meter, and temperature sensor.


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