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a platform for laboratory equipment control and scientific data analysis

Project description

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

<http://www.scopefoundry.org>

Maintainer

Edward S. Barnard <esbarnard@lbl.gov>

Contributors

  • Alan Buckley
  • Nick Borys
  • Frank Ogletree
  • Benedikt Ursprung
  • Clarice Aiello
  • Hao Wu

Requirements

  • Python 3.x
  • PyQt 4.7+, PySide, or PyQt5 (via qtpy shim package)
  • NumPy
  • PyQtGraph
  • h5py

_Optional:_

  • qtconsole
  • Ipython

Installation

If you have all the requirements:

` pip install git+git://github.com/ScopeFoundry/ScopeFoundry.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.

Alternatively:

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

Documentation

See <http://www.scopefoundry.org>

Project details


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