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Systems Neuroscience Computing in Python

Project description


Systems Neuroscience Computing in Python

Conda Version PyPI version License

master branch status: Master Tests Master Coverage

dev branch status: Dev Tests Dev Coverage

Syncopy aims to be a user-friendly toolkit for large-scale electrophysiology data-analysis in Python. We strive to achieve the following goals:

  1. Syncopy is a fully open source Python environment for electrophysiology data analysis.

  2. Syncopy is scalable and built for very large datasets. It automatically makes use of available computing resources and is developed with built-in parallelism in mind.

  3. Syncopy is compatible with FieldTrip. Data and results can be loaded into MATLAB and Python, parameter names and function call syntax are as similar as possible

Syncopy is developed at the Ernst Strüngmann Institute (ESI) gGmbH for Neuroscience in Cooperation with Max Planck Society and released free of charge under the BSD 3-Clause “New” or “Revised” License.


To report bugs or ask questions please use our GitHub issue tracker. For general inquiries please contact syncopy (at)


Syncopy is available on pip

pip install esi-syncopy

For using SynCoPy’s parallel processing capabilities, ACME is required

conda install -c conda-forge esi-acme

To get the latest development version, please clone our GitHub repository:

git clone
cd syncopy/
pip install -e .

Getting Started

Please visit our online documentation.

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