a platform for laboratory equipment control and scientific data analysis
Project description
A Python platform for controlling custom laboratory experiments and visualizing scientific data
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
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| Filename, size & hash | File type | Python version | Upload date |
|---|---|---|---|
| ScopeFoundry-1.1.1.tar.gz (113.8 kB) View hashes | Source | None |
