| Name | pymodaq JSON |
| Version |
4.4.7
JSON |
| download |
| home_page | None |
| Summary | Modular Data Acquisition with Python |
| upload_time | 2024-11-12 13:17:40 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.7 |
| license | The MIT License (MIT)
Copyright (c) 2021 Sebastien Weber <sebastien.weber@cemes.fr>
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE. |
| keywords |
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| VCS |
 |
| bugtrack_url |
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| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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| coveralls test coverage |
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PyMoDAQ
#######
.. image:: https://img.shields.io/pypi/v/pymodaq.svg
:target: https://pypi.org/project/pymodaq/
:alt: Latest Version
.. image:: https://readthedocs.org/projects/pymodaq/badge/?version=latest
:target: https://pymodaq.readthedocs.io/en/stable/?badge=latest
:alt: Documentation Status
.. image:: https://codecov.io/gh/PyMoDAQ/PyMoDAQ/branch/4.4.x/graph/badge.svg?token=IQNJRCQDM2
:target: https://codecov.io/gh/PyMoDAQ/PyMoDAQ
====== ========== ======= ======
Python Qt Backend OS Passed
====== ========== ======= ======
3.8 Qt5 Linux |38Qt5|
3.9 Qt5 Linux |39Qt5|
3.10 Qt5 Linux |310Qt5|
3.11 Qt5 Linux |311Qt5|
3.8 Qt5 Windows |38Qt5win|
3.8 PySide2 Linux |38pyside|
3.9 Qt6 Linux |39Qt6|
====== ========== ======= ======
.. |38Qt5| image:: https://github.com/PyMoDAQ/PyMoDAQ/actions/workflows/Testp38pyqt5.yml/badge.svg?branch=4.4.x
:target: https://github.com/PyMoDAQ/PyMoDAQ/actions/workflows/Testp38pyqt5.yml
.. |39Qt5| image:: https://github.com/PyMoDAQ/PyMoDAQ/actions/workflows/Testp39pyqt5.yml/badge.svg?branch=4.4.x
:target: https://github.com/PyMoDAQ/PyMoDAQ/actions/workflows/Testp39pyqt5.yml
.. |310Qt5| image:: https://github.com/PyMoDAQ/PyMoDAQ/actions/workflows/Testp310pyqt5.yml/badge.svg?branch=4.4.x
:target: https://github.com/PyMoDAQ/PyMoDAQ/actions/workflows/Testp310pyqt5.yml
.. |311Qt5| image:: https://github.com/PyMoDAQ/PyMoDAQ/actions/workflows/Testp311pyqt5.yml/badge.svg?branch=4.4.x
:target: https://github.com/PyMoDAQ/PyMoDAQ/actions/workflows/Testp311pyqt5.yml
.. |38Qt5win| image:: https://github.com/PyMoDAQ/PyMoDAQ/actions/workflows/Testp38pyqt5_win.yml/badge.svg?branch=4.4.x
:target: https://github.com/PyMoDAQ/PyMoDAQ/actions/workflows/Testp38pyqt5_win.yml
.. |38pyside| image:: https://github.com/PyMoDAQ/PyMoDAQ/actions/workflows/Testp38pyside2.yml/badge.svg?branch=4.4.x
:target: https://github.com/PyMoDAQ/PyMoDAQ/actions/workflows/Testp38pyside2.yml
.. |39Qt6| image:: https://github.com/PyMoDAQ/PyMoDAQ/actions/workflows/Testp39pyqt6.yml/badge.svg?branch=4.4.x
:target: https://github.com/PyMoDAQ/PyMoDAQ/actions/workflows/Testp39pyqt6.yml
.. 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 extensions.
* Second, to provide various tools (modules) to easily build *custom apps*
It is organised a shown below:
.. figure:: http://pymodaq.cnrs.fr/en/latest/_images/pymodaq_diagram.png
:alt: overview
PyMoDAQ's Dashboard and its extensions: DAQ_Scan for automated acquisitions, DAQ_Logger for data logging and many other.
The main component is the **Dashboard** : This is a graphical component 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 (numbers and types of control modules).
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 in the Dashboard
* **DAQ_Viewer_module** : used to control/drive a detector (stand alone and/or automated).
Any number of these modules can be instantiated in the Dashboard.
The Dashboard allows you to start dedicated extensions that will make use of the control modules:
* **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.
and many others to simplify any application development.
Published under the MIT FREE SOFTWARE LICENSE
GitHub repo: https://github.com/PyMoDAQ
Documentation: http://pymodaq.cnrs.fr/
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