Skip to main content

Modular Data Acquisition with Python

Project description

Latest Version Documentation Status https://codecov.io/gh/PyMoDAQ/PyMoDAQ/branch/pymodaq-dev/graph/badge.svg?token=IQNJRCQDM2

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

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:

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/

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pymodaq-4.3.1.tar.gz (4.3 MB view details)

Uploaded Source

Built Distribution

pymodaq-4.3.1-py3-none-any.whl (4.6 MB view details)

Uploaded Python 3

File details

Details for the file pymodaq-4.3.1.tar.gz.

File metadata

  • Download URL: pymodaq-4.3.1.tar.gz
  • Upload date:
  • Size: 4.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-httpx/0.27.2

File hashes

Hashes for pymodaq-4.3.1.tar.gz
Algorithm Hash digest
SHA256 db89b45b1b87996fedc61e55eae39ad9640323954771d17152cf73d30e3598bf
MD5 c8abe961581b573017321a6408889599
BLAKE2b-256 03b17db972bbce35747a3998dfae7e659054cf182bcdcf52c74dcd255b8df2a3

See more details on using hashes here.

File details

Details for the file pymodaq-4.3.1-py3-none-any.whl.

File metadata

  • Download URL: pymodaq-4.3.1-py3-none-any.whl
  • Upload date:
  • Size: 4.6 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-httpx/0.27.2

File hashes

Hashes for pymodaq-4.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 1e2023a43fa685b23e9683e10ee5e3886f87541d50133d17019886ba4969442e
MD5 2b5ab99fcf80b8ab17a57122ca75bcfb
BLAKE2b-256 4dda26efb8dea28802e347a9accab63c94f0da386a6c10abb1a99b38c3010eb8

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page