UVVM Light is a low threshold version of UVVM and is intended for developers who want to start using UVVM Utilty library and Bus Functional Models.

This package gathers GNAT binaries from FSF GCC releases of the Alire Project.

GHDL analyses, elaborates and simulates VHDL sources. It may also be used as an experimental synthesizer backend.

GHDL Language Server Protocol (LSP) is a server for VHDL based on GHDL.

This plugin provides a shared library module for Yosys to implement logical synthesis of VHDL designs.

pyVHDLModel provides an unified abstract language model for VHDL written in Python.

Tools to analyze and simulate neural time series, using digital signal processing.

MNE-LSL (Documentation website) provides a real-time brain signal streaming framework. MNE-LSL contains an improved python-binding for the Lab Streaming Layer C++ library, mne_lsl.lsl, replacing pylsl. This low-level binding is used in high-level objects to interact with LSL streams.

This is a library to perform shift-invariant sparse dictionary learning, also known as convolutional sparse coding (CSC), on time-series data.

Meggie is an open-source software designed for intuitive MEG and EEG analysis. With its user-friendly graphical interface, Meggie brings the powerful analysis methods of MNE-Python to researchers without requiring programming skills.

Tensor-based Phase-Amplitude Coupling.

AntroPy is a Python package providing several time-efficient algorithms for computing the complexity of time-series. It can be used for example to extract features from EEG signals.

klusta is an open source package for automatic spike sorting of multielectrode neurophysiological recordings made with probes containing up to a few dozens of sites.

pyEDFlib is a Python library to read/write EDF+/BDF+ files based on EDFlib. EDF means European Data Format

FASTER is a fully automated, unsupervised method for processing of high density EEG data.

Fast, efficient, and physiologically-informed tool to parameterize neural power spectra

This package provides a Python implementation of a multitaper window method for estimating Wigner spectra for certain locally stationary processes.

XDF is a general-purpose container format for multi-channel time series data with extensive associated meta information. XDF is tailored towards biosignal data such as EEG, EMG, EOG, ECG, GSR, MEG, but it can also handle data with high sampling rate (like audio) or data with a high number of channels (like fMRI or raw video). Meta information is stored as XML.

Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats.

This package implements both parametric and permutation-based ARI, and is meant to be compatible with the MNE-Python ecosystem.

This package provides denoising tools for M/EEG processing in Python.

The OpenMEEG software is a C++ package for solving the forward problems of electroencephalography (EEG) and magnetoencephalography (MEG).

A Python package to handle the layout, geometry, and wiring of silicon probes for extracellular electrophysiology experiments.

This package provides code for feature extraction with M/EEG data.