Pynapple is a light-weight python library for neurophysiological data analysis. The goal is to offer a versatile set of tools to study typical data in the field, i.e. time series (spike times, behavioral events, etc.) and time intervals (trials, brain states, etc.). The main code repo is here.

👩‍💻 Read our documentation for how to get started and how to use pynapple.

🍿 Read the pynapple paper here!

🧙 Check out the repos below to find helper code, additional tools, and more!

• The first pynapple workshop will be held as a satellite event of FENS 2024 in Vienna. More information here.

Special thanks to Francesco P. Battaglia (https://github.com/fpbattaglia) for the development of the original TSToolbox and neuroseries packages, the latter constituting the core of pynapple.

This package was initially developped by Guillaume Viejo (https://github.com/gviejo) and other members of the Peyrache Lab.

The development and maintenance is currently made at the Center for Computational Neuroscience of the Simons foundation.