Pynaviz : python neural analysis visualization

Installing

User guide

Examples

API

Overview

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 built on top of pygfx, a modern GPU-based rendering engine.

There are two ways to use Pynaviz:

• GUI — launch an interactive viewer from the command line (pynaviz) or from a Python script via scope(). Drop in files, scrub through time, and arrange plots without writing any additional code.

• Programmatic — embed the individual plot widgets (TsdWidget, TsGroupWidget, …) directly inside your own Qt application for tighter integration with custom pipelines.

Installation

$ pip install pynaviz[qt]

Please refer to the Installation instructions for more details.

Quick start

From the command line:

$ pynaviz data.nwb recording.mp4 -l layout.json

From a Python script:

from pynaviz import scope
scope({"lfp": tsdframe, "spikes": tsgroup})

See the GUI reference for the full list of accepted file types, scope() input forms, and keyboard shortcuts.

Support

This package is supported by the Center for Computational Neuroscience, in the Flatiron Institute of the Simons Foundation.