IPFX is a Python package for computing intrinsic cell features from electrophysiology data. With this package you can:

• Perform cell data quality control (e.g. resting potential stability)
• Detect action potentials and their features (e.g. threshold time and voltage)
• Calculate features of spike trains (e.g., adaptation index)
• Calculate stimulus-specific cell features

This software is designed for use in the Allen Institute for Brain Science electrophysiology data processing pipeline.

For usage and installation instructions, see the documentation.

To start analyzing data now, check out the quick_start . For a more in depth guide to IPFX, see tutorial

We welcome contributions! Please see our contribution guide for more information. Thank you!

The 1.0.0 release of ipfx brings some new features, like NWB2 support, along with improvements to our documentation and testing. We will also drop support for

• NWB1
• Python 2

Older versions of ipfx will continue to be available, but may receive only occasional bugfixes and patches.