Skip to main content

Modular Data Acquisition with Python

Project description

# PyMoDAQ

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

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.

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.

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

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

Project details


Release history Release notifications | RSS feed

This version

1.1.2

Download files

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

Source Distribution

pymodaq-1.1.2.tar.gz (11.3 MB view details)

Uploaded Source

Built Distribution

pymodaq-1.1.2-py3-none-any.whl (11.9 MB view details)

Uploaded Python 3

File details

Details for the file pymodaq-1.1.2.tar.gz.

File metadata

  • Download URL: pymodaq-1.1.2.tar.gz
  • Upload date:
  • Size: 11.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.7.1

File hashes

Hashes for pymodaq-1.1.2.tar.gz
Algorithm Hash digest
SHA256 0092e942ef85eec579c0d3b174f4d60038a31a02acbf14f92f359d73f9b486c6
MD5 5d232eb254aa44765745dbd2f7468f07
BLAKE2b-256 fb1fe5475823f8a008d10d878392adc357e6f14deee294b7dce4384cc8f431ed

See more details on using hashes here.

File details

Details for the file pymodaq-1.1.2-py3-none-any.whl.

File metadata

  • Download URL: pymodaq-1.1.2-py3-none-any.whl
  • Upload date:
  • Size: 11.9 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.7.1

File hashes

Hashes for pymodaq-1.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 2ebfbe2371140883c4bdce7092614c45a0f4f14b0c92b662f1691871a85fd4be
MD5 d961d4350438644a8058e3b99689a259
BLAKE2b-256 10164012cd1d6480ead81d1b8663c511e77ca2c33055f5faaab5c8a0583d4d30

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