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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


  • Benedikt Ursprung
  • Nick Borys
  • Jonas Zipfel
  • Frank Ogletree
  • Clarice Aiello
  • Hao Wu
  • Alan Buckley
  • Peter Ercius


  • Python 3.x (Currently tested with 3.9 and 3.10)
  • PySide, or PyQt5 (via qtpy shim package)
  • NumPy
  • PyQtGraph
  • h5py
  • xreload


  • 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=3.10
$ source activate scopefoundry
(scopefoundry) $ conda install numpy pyqt qtpy h5py pyqtgraph
(scopefoundry) $ pip install git+git://



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