pynaviz#
PYthon Neural Analysis VIZualization
Pynaviz provides interactive, high-performance visualizations designed to work seamlessly with Pynapple time series and video data. It allows synchronized exploration of neural signals and behavioral recordings. It is build on top of pygfx, a modern GPU-based rendering engine.
To install pynaviz, please refer to the Installation instructions.
The simplest way to get started is to use the Qt-based graphical user interface (GUI) either from the command line :
$ pip install pynaviz[qt]
$ pynaviz
or from a Python script:
from pynaviz import scope
scope("nwb_file.nwb") # replace with your NWB file path or a dictionnary of pynapple time series objects
See the User Guide for more details on how to use pynaviz.
Support#
This package is supported by the Center for Computational Neuroscience, in the Flatiron Institute of the Simons Foundation
