PYDAQ - Data Acquisition and Experimental Analysis with Python (www.pydaq.org)

PYDAQ is a Python package for data acquisition, signal generation, system identification, digital filtering, and real-time control using Arduino and NI-DAQ devices.

It provides a unified graphical interface, command-line tools, and Jupyter notebook examples for laboratory experiments, rapid prototyping, teaching, and research workflows.

Capabilities

PYDAQ supports the following experimental workflows:

Further details about benchmarking are available in the benchmarking documentation.

Installation

Install PYDAQ with pip:

pip install pydaq

Main dependencies include numpy, scipy, matplotlib, pyserial, nidaqmx, PySide6, sysidentpy, bitarray, and packaging. Specific dependency versions are defined in the project configuration files.

Hardware notes:

• Arduino workflows do not require NI-DAQmx drivers.
• NI-DAQ workflows require the NI-DAQmx drivers.

PYDAQ is tested up to Python 3.14. It may run on newer versions, but without guarantees.

Graphical user interface

All main workflows are available from a single graphical interface.

Launch the GUI with:

from pydaq.pydaq_global import PydaqGui

PydaqGui()

More details are available in the documentation and in the Jupyter notebook examples.

Screenshots

Contributing

Contributions are welcome. Please read the contribution guide before submitting a pull request.

Citation

This is the seminal publication of the PYDAQ project and should be cited in any work that uses PYDAQ.

• Martins, S. A. M. (2023). PYDAQ: Data Acquisition and Experimental Analysis with Python. Journal of Open Source Software, 8(92), 5662. https://doi.org/10.21105/joss.05662

@article{Martins_PYDAQ_Data_Acquisition_2023,
  author  = {Martins, Samir Angelo Milani},
  doi     = {10.21105/joss.05662},
  journal = {Journal of Open Source Software},
  month   = dec,
  number  = {92},
  pages   = {5662},
  title   = {{PYDAQ: Data Acquisition and Experimental Analysis with Python}},
  url     = {https://joss.theoj.org/papers/10.21105/joss.05662},
  volume  = {8},
  year    = {2023}
}

Additional related publications are available in the papers directory.