GuPPy

Guided Photometry Analysis in Python is an open-source tool for processing and analyzing fiber photometry recordings. It provides a GUI-based pipeline covering raw data ingestion, signal preprocessing, PSTH computation, transient detection, and visualization. Data formats supported include TDT, Doric, Neurophotometrics (NPM), and generic CSV.

Installation

pip install guppy-neuro

Then launch the GUI:

guppy

Contents

• Tutorials
• How-to Guides
• Explanation
• Reference

Links

• Source code

• PyPI package

• Issue tracker

• GitHub Wiki (covers v1.3.0 and earlier; updated guides for v2 are being added here)