31 dependents
| Package | Description | Downloads/month |
|---|---|---|
| Deep learning software to decode EEG, ECG or MEG signals | 66K | |
| Mother of All BCI Benchmarks | 46K | |
| EEG-DaSh: an open data, tool, and compute resource — a Python library and catalo... | 36K | |
| MEG/EEG analysis tools | 12K | |
| Automatically process entire electrophysiological datasets using MNE-Python. | 2K | |
| Load and process brain datasets for deep learning | 2K | |
| Download backends and data-fetching utilities for neuralset. | 1K | |
| A simplified MNE-Python wrapper for teaching EEG analysis | 1K | |
| Automated EEG Processing Software | 1K | |
| A python package for the automatic conversion of EEG datasets to the BIDS standa... | 747 | |
| Data loader and file reader for the OpenBIDS format | 736 | |
| Python Brain-Computer Interface Software | 664 | |
| Real-time analysis of intracranial neurophysiology recordings. | 547 | |
| Code for analysis MEG data from the memento project | 501 | |
| A repo of current preprocessing methods for the Cogan Lab | 410 | |
| A Python-based MEEG processing toolkit primarily based on MNE-Python. | 374 | |
| A GUI with Node-Layout for data analysis MNE-Python | 343 | |
| Python package providing pipelines for electrophysiological (EEG/MEG) data withi... | 330 | |
| A tool to parse photodiode events from a possibly corrupted channel, compatible ... | 316 | |
| Automated EEG Processing Software | 288 | |
| A flexible artifact correction and evaluation toolbox to correct eeg data | 245 | |
| 🧠 EEG Processing pipeline that annotates continuous data | 189 | |
| A Python package for normative modeling on large-scale EEG and MEG data. | 166 | |
| For an easy-to-use API interfacing with EEG data in EDF, or FIF format. | 165 | |
| An open-source software package for working with electrophysiological data. | 160 | |
| Package to calculate metrics for the Enigma MEG consortium | 138 | |
| fNIRS analysis toolbox | 119 | |
| A Python3 package for eeg (pre)processing from Automagic. | 82 | |
| MSQMs is a fully automated quality control tool for MEG signals. | 67 | |
| General integration functions for mne and mne-bids for NIH users | 66 | |
| EEGVERSE: A Universe of Annotated EEG Data | 65 |