wxDAQ

NI cDAQ Console using wxPython

The productivity of Python is impressive, even though it might not be the best choice for core programming tasks.

Application Architecture:

• GUI Part: The GUI layer is developed using the wxPython library.
• Data Acquisition Part: The nidaqmx library is utilized to communicate with and control the NI DAQ devices.
• Data Visualization Part: The matplotlib library is integrated into the GUI for real-time visualization of acquired data.
• Control Logic Part: This layer manages user interactions, data acquisition threads, and data visualization updates.

Thread Management:

• Analog Data Collection: A separate thread collects analog data from specified channels using the nidaqmx library.
• Digital Data Collection: Another thread collects digital data from the specified channel using the nidaqmx library.

jy