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Python toolkit for analysis, visualization, and comparison of spike sorting output

Project description


SpikeInterface is a Python framework designed to unify preexisting spike sorting technologies into a single code base.

spikeinterface is a meta-package that wraps 5 other Python packages from the SpikeInterface team:

  • spikeextractors: Data file I/O and probe handling. Build Status
  • spiketoolkit: Toolkit for pre-processing, post-processing, validation, and automatic curation. Build Status
  • spikesorters: Python wrappers to spike sorting algorithms. Build Status
  • spikecomparison: Comparison of spike sorting output (with and without ground-truth). Build Status
  • spikewidgets: Data visualization widgets. Build Status

ALPHA version. The release of an beta version is scheduled for August 31st 2019


Clone the repository and install from sources:

git clone
cd spikeinterface
pip install .

Soon a pip install spikeinterface will be available!


For using SpikeInterface, please checkout these examples.

Also, you can checkout this tutorial for getting started with SpikeInterface.


All documentation for SpikeInterface can be found here:


Alessio Paolo Buccino - Center for Inegrative Neurolasticity (CINPLA), Department of Biosciences, Physics, and Informatics, University of Oslo, Oslo, Norway

Cole Hurwitz - The Institute for Adaptive and Neural Computation (ANC), University of Edinburgh, Edinburgh, Scotland

Jeremy Magland - Center for Computational Biology (CCB), Flatiron Institute, New York, United States

Matthias Hennig - The Institute for Adaptive and Neural Computation (ANC), University of Edinburgh, Edinburgh, Scotland

Samuel Garcia - Centre de Recherche en Neuroscience de Lyon (CRNL), Lyon, France

For any correspondence, contact Alessio Buccino (, Cole Hurwitz (, or just write an issue!

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