Welcome to PyMoDAQ’s documentation!

French version here


Announcement: Training session in Toulouse, France 17/18/19 October 2022 followed by the PyMoDAQ’s Days

PyMoDAQ, Modular Data Acquisition with Python, is a set of python modules used to interface any kind of experiments. It simplifies the interaction with detector and actuator hardware to go straight to the data acquisition of interest.

It has two purposes:

  • First, to provide a complete interface to perform automated measurements or logging data without having to write a user/interface for each new experiment.

  • Second, to provide various tools (User interfaces, classes dedicated to specific tasks…) to easily build a Custom App/Extension

It is divided in two main components as shown on figure Fig. 1


Fig. 1 PyMoDAQ’s Dashboard and its extensions: DAQ_Scan for automated acquisitions, DAQ_Logger for data logging and many other.

The Control modules are interfacing real instruments using user written plugins. The complete list of available plugins is maintained on this GitHub repository and installabled using the Plugin Manager



Fig. 2 Training sessions announcement and PyMoDAQ’s days


GitHub repo: https://github.com/PyMoDAQ

Documentation: http://pymodaq.cnrs.fr/

List of available plugins

Video tutorials here


Based on the pyqtgraph library : http://www.pyqtgraph.org by Luke Campagnola.

PyMoDAQ is written by Sébastien Weber: sebastien.weber@cemes.fr under a MIT license.


If you want to contribute see this page: Contributors

They use it

See Who use it?


By using PyMoDAQ, you are being asked to cite the article published in Review of Scientific Instruments RSI 92, 045104 (2021) when publishing results obtained with the help of its interface. In that way, you’re also helping in its promotion and amelioration.


Please see the changelog.


Indices and tables