Welcome to PyMoDAQ’s documentation!

Announcement: Training session in Toulouse, France 21/22/23 October 2019:

Flyer_femto

Fig. 1 Training session announcement

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 without having to write a user/interface for each new experiment, this is under the DAQ Scan environment.
  • Second, to provide various tools (modules) to easily build a Custom Application

It is divided in three main modules:

  • DAQ Scan : This is the module that will initialize all preset actuators and detectors. Then will automate the data acquisition.
  • DAQ Move : used to control/drive an actuator (stand alone and/or automated). Any number of these modules can be instantiated.
  • DAQ Viewer : used to control/drive a detector (stand alone and/or automated). Any number of these modules can be instantiated.

and many others to simplify any application development.

Information

GitHub repo: https://github.com/CEMES-CNRS

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

List of available plugins: https://docs.google.com/spreadsheets/d/1wfMfvLwTitZd2R2m1O5i6wVEaX1lJBahP2HUbxVdidg

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

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

PDF version of this documentation: http://pymodaq.cnrs.fr/_static/PyMoDAQ.pdf

Contribution

If you want to contribute see this page: Contributors

They use it

See Who use it?

Citation

By using PyMoDAQ, you are being asked to cite it (this website) when publishing results obtained with the help of its interface. In that way, you’re also helping in its promotion and amelioration.

Changelog

Please see the changelog.

Contents:

Indices and tables