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Python widgets for spike sorting and electrophysiology

Project description

Build Status PyPI version


SpikeWidgets is a package of the SpikeInterface project that was designed for visualization of various aspects of the spike sorting pipeline. The widgets include: raster plots, autocorrelograms, crosscorrelograms, isi distributions, and more.

Getting Started

To get started with SpikeWidgets, you can install it with pip:

pip install spikewidgets

You can also get SpikeWidgets through the spikeinterface package:

pip install spikeinterface

You can also install SpikeWidgets locally by cloning the repo into your code base. If you install SpikeWidgets locally, you need to run the file.

git clone
cd spikewidgets
python install


For more information about how to use SpikeWidgets, please checkout these examples.


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 at

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