Metadata-Version: 2.1
Name: pymodaq
Version: 2.2.4
Summary: Modular Data Acquisition with Python
Home-page: http://pymodaq.cnrs.fr
Author: Sébastien Weber
Author-email: sebastien.weber@cemes.fr
License: MIT
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Other Environment
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Human Machine Interfaces
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: License :: CeCILL-B Free Software License Agreement (CECILL-B)
Classifier: Operating System :: OS Independent
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Software Development :: User Interfaces
Requires-Python: >=3.6, <3.8
Requires-Dist: numpy (==1.19.3)
Requires-Dist: scipy
Requires-Dist: pyqtgraph (==0.10)
Requires-Dist: easydict
Requires-Dist: tables
Requires-Dist: pymodaq-plugins (>=2.0.1)
Requires-Dist: pymodaq-pid-models (>=0.0.2)
Requires-Dist: simple-pid
Requires-Dist: python-dateutil
Requires-Dist: packaging
Requires-Dist: SQLAlchemy-Utils (==0.36.6)
Requires-Dist: toml
Requires-Dist: pymodaq-plugin-manager

PyMoDAQ
#######

.. figure:: http://pymodaq.cnrs.fr/en/latest/_static/splash.png
   :alt: shortcut


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, this is under the *Dashboard_module* environment and its two extensions.
* Second, to provide various tools (modules) to easily build *custom apps*

It is divided in three main modules:

* **Dashboard_module** : This is the module that will initialize actuators and detectors given the need of your
  particular experiment. You configure the dashboard using an interface for quick launch of various configurations.
* **DAQ_Logger_module** : This module lets you log data from one or many detectors defined in the dashboard. You can log data
  in a binary hierarchical hdf5 file or towards a sql database
* **DAQ_Scan_module** : This module lets you configure automated data acquisition from one or many detectors defined
  in the dashboard as a function or one or more actuators defined also in the dashboard.

The detectors and the actuators are represented and manipulated using two control modules:

* **DAQ_Move_module** : used to control/drive an actuator (stand alone and/or automated). Any number of these modules can be instantiated.
* **DAQ_Viewer_module** : 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.



Published under the CeCILL-B FREE SOFTWARE LICENSE

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

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


