Skip to main content

a platform for laboratory equipment control and scientific data analysis

Project description

A Python platform for controlling custom laboratory experiments and visualizing scientific data



Edward S. Barnard <>


  • Alan Buckley

  • Nick Borys

  • Frank Ogletree

  • Benedikt Ursprung

  • Clarice Aiello

  • Hao Wu


  • Python 3.x

  • PyQt 4.7+, PySide, or PyQt5 (via qtpy shim package)

  • NumPy

  • PyQtGraph

  • h5py


  • qtconsole

  • Ipython


If you have all the requirements:

` pip install git+git:// `

If you use the Anaconda python distribution, you can create an environment that has ScopeFoundry and its required dependencies. See the conda_env sub-directory for environment files and Windows batch files for environment setup.


` $ conda create -n scopefoundry python=3.6 $ source activate scopefoundry (scopefoundry) $ conda install numpy pyqt qtpy h5py pyqtgraph (scopefoundry) $ pip install git+git:// `


See <>

Project details

Download files

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

Source Distribution

ScopeFoundry-1.1.1.tar.gz (113.8 kB view hashes)

Uploaded source

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page