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

Download files

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

Source Distribution

pymodaq-1.2.0.tar.gz (11.3 MB view details)

Uploaded Source

Built Distribution

pymodaq-1.2.0-py3-none-any.whl (11.9 MB view details)

Uploaded Python 3

File details

Details for the file pymodaq-1.2.0.tar.gz.

File metadata

  • Download URL: pymodaq-1.2.0.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-1.2.0.tar.gz
Algorithm Hash digest
SHA256 d42a5a37dcb9ac9c0b9fbcc85242a1aa3d9de1ae20c3041171fa1bd4a4103010
MD5 b16380d005b3e24150a57c9f77204ecb
BLAKE2b-256 710c2fad037322b18b43ae2088db3273a1f14c30d35305cc0cbd774481c4c804

See more details on using hashes here.

File details

Details for the file pymodaq-1.2.0-py3-none-any.whl.

File metadata

  • Download URL: pymodaq-1.2.0-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-1.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 8d279d9cdd61dc5ed11857aaf774267050daeb2fb2aabc439526aea209eda31e
MD5 8316a72f70fa6128aa6af48cc21d33ad
BLAKE2b-256 c81b5e3545282c8f17afc0e051b82b233e1c78a8d1ec8a9f9d51fbdde0f37fee

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