EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD

A Python-based module for creating flexible and robust spike sorting pipelines.

Fast spike sorting with drift correction

A list of openly available datasets in (mostly human) electrophysiology.

Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology

Parameterizing neural power spectra into periodic & aperiodic components.

phy: interactive visualization and manual spike sorting of large-scale ephys data

Blue Brain Python Optimisation Library

Elephant is the Electrophysiology Analysis Toolkit

A Python Toolbox for Multimode Neural Data Representation Analysis - A Representational Analysis Toolbox for Neuroscience, including Neural Pattern Similarity (NPS), Representational Similarity Analysis (RSA), Spatiotemporal Pattern Similarity (STPS) & Inter-Subject Correlation (ISC)

Frequency domain estimation and functional and directed connectivity analysis tools for electrophysiological data

Chaste - Cancer Heart And Soft Tissue Environment - main public repository.

C++ lsl library for multi-modal time-synched data transmission over the local network

Python-based module for extracting from, converting between, and interfacing with many common file formats in extracellular recording.

NeuroPyxels (npyx) is a python library built for electrophysiologists using Neuropixels electrodes. This package stems from the need of a pythonist who really did not want to transition to MATLAB to work with Neuropixels: it features a suite of core utility functions for loading, processing and plotting Neuropixels data.

Modules for processing extracellular electrophysiology data from Neuropixels probes

A list of openly available software tools for (mostly human) electrophysiology.

pyABF is a Python package for reading electrophysiology data from Axon Binary Format (ABF) files

CellExplorer is a graphical user interface, a standardized processing module and data structure for exploring and classifying single cells acquired using extracellular electrodes.

Neuroscience data analysis framework for reproducible research built by Loren Frank Lab at UCSF