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EEG/MEG Source Connectivity Toolbox

Project Description

SCoT is a Python package for EEG/MEG source connectivity estimation.

Obtaining SCoT

Use the following command to fetch the sources:

git clone –recursive scot

The flag –recursive tells git to check out the numpydoc submodule, which is required for building the documentation.


Documentation is available online at


Required: numpy, scipy

Optional: matplotlib, scikit-learn


To run the examples on Linux, invoke the following commands inside the SCoT main directory:

PYTHONPATH=. python examples/misc/

PYTHONPATH=. python examples/misc/


Note that you need to obtain the example data from The scot-data package must be on Python’s search path.

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Release History

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
scot-0.1.3-py2.py3-none-any.whl (54.9 kB) Copy SHA256 Checksum SHA256 py2.py3 Wheel Aug 12, 2015

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