eFEL: Electrophysiology Feature Extraction Library

A cross-platform, open-source library for neuroscientists to automatically extract standardized electrophysiological features (eFeatures) from time series data (e.g., voltage traces). It combines a C++ core with a Python interface for reproducible analysis of neuronal activity.