Skip to main content

Modular Data Acquisition with Python

Project description

PyMoDAQ, Modular Data Acquisition with Python, is a set of python modules used to perform automated measurements.

shortcut

Description:

It is made for the scientist who need to perform various acquisitions without having to write a user/interface for each new experiment. PyMoDAQ interface is fixed, and any new hardware can be added as a small plugin. Preset modes of a given set of actuators and detectors can be written for easy experiment inititialization.

Modules:

It is divided in three main modules:

  • 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.

  • DAQ_Scan : This is the module that will initialize all preset actuators and detectors. Then will automate the data acquisition.

Published under the CeCILL-B FREE SOFTWARE LICENSE

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

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-1.6.4.tar.gz (3.7 MB view details)

Uploaded Source

Built Distribution

pymodaq-1.6.4-py3-none-any.whl (3.9 MB view details)

Uploaded Python 3

File details

Details for the file pymodaq-1.6.4.tar.gz.

File metadata

  • Download URL: pymodaq-1.6.4.tar.gz
  • Upload date:
  • Size: 3.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3

File hashes

Hashes for pymodaq-1.6.4.tar.gz
Algorithm Hash digest
SHA256 0f136cd312b9b39b1dcb9e9bb42a02f9b609c597716849aff171293c500e33df
MD5 a96e9b97bafca743c7903cacc065af5c
BLAKE2b-256 41144b66e1901aaf09120ff429a5ab5778acea53245b9e14f8c0560312ee2e38

See more details on using hashes here.

File details

Details for the file pymodaq-1.6.4-py3-none-any.whl.

File metadata

  • Download URL: pymodaq-1.6.4-py3-none-any.whl
  • Upload date:
  • Size: 3.9 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3

File hashes

Hashes for pymodaq-1.6.4-py3-none-any.whl
Algorithm Hash digest
SHA256 d4f0d26cc6a82d7f73021b4a9804c4ee68b590805be04ee1e4b7ea886fd0defd
MD5 8e801360e3e51012c388a396407d165d
BLAKE2b-256 5b9582297b43aa3a4c0055da885d37e47305c0b2c37895571f5c1228e086639e

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