Apps Like Pym for iPhone and iPad
Pym screenshots
Ranked alternatives
Showing 81–100 of 1,000 ranked alternatives.
nRF Toolbox
Nordic Semiconductor ASA
Bluetooth Low Energy accessory demonstration application.
The app demonstrates Bluetooth Low Energy profiles including Heart Rate Monitor, Blood Pressure Monitor, and Health Thermometer. It connects with a variety of BLE accessories and shows data from devices like Glucose Monitors.
e-Saver Residential
Copeland LP
Calculate HVAC options and save costs
Users input current system efficiency standards and replacement options to compare annual cost savings. The calculates savings based on system efficiency and provides detailed comparisons.
DTMF Decoder
Martin Wellard
Decoder for telephone touch tones.
The app turns an iPhone into a DTMF decoder. It displays decoded digits from DTMF tones, which can then be copied to the clipboard.
Invotech Compressors Selection
Suzhou Invotech Scroll Technologies Co., Ltd.
Select with reference data
Provides compressor data for reference during . Users can view technical specifications and operational parameters. It does not replace user testing or guarantee data accuracy.
Image Converter·
TAPUNIVERSE LLC
Convert photos to JPG, PNG, HEIC, PDF
Convert photos between JPG, PNG, HEIC, and PDF formats without quality loss. Select and add multiple images from various sources. Adjust compression settings and save or share converted files.
PsyPad
Andrew Turpin
Control stimuli and track responses
Create and run visual psychophysics experiments with customizable staircases or MOCS. Present stimuli as precomputed PNG images or videos. Manage participant accounts, collect responses with up to four buttons, and generate detailed log files.
SwitcheOn
Malmoset, LLC
Control power and adjust temperature remotely
Control devices remotely with 2 or 4 channels and up to 15 amps. Monitor temperature with a sensor and view settings on a bright OLED display. Set automations based on time or temperature thresholds.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.