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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



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 <>

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