a platform for laboratory equipment control and scientific data analysis
Project description
ScopeFoundry
A Python platform for controlling custom laboratory experiments and visualizing scientific data
Maintainer
Edward S. Barnard esbarnard@lbl.gov
Contributors
- Benedikt Ursprung
- Nick Borys
- Jonas Zipfel
- Frank Ogletree
- Clarice Aiello
- Hao Wu
- Alan Buckley
- Peter Ercius
Requirements
- Python 3.x (Currently tested with 3.9 and 3.10)
- PySide, or PyQt5 (via qtpy shim package)
- NumPy
- PyQtGraph
- h5py
- xreload
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=3.10
$ source activate scopefoundry
(scopefoundry) $ conda install numpy pyqt qtpy h5py pyqtgraph
(scopefoundry) $ pip install git+git://github.com/ScopeFoundry/ScopeFoundry.git
Documentation
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ScopeFoundry-1.3.0.tar.gz
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