A Python package to make publication-ready but customizable coefficient plots.

Streamlit — A faster way to build and share data apps.

Automatically process entire electrophysiological datasets using MNE-Python.

Susceptibility Distortion Correction (SDC) workflows for EPI MR schemes

Brain Imaging Data Structure (BIDS) Specification

Fit Linear Models to BIDS Datasets

Workflows and interfaces for neuroimaging packages

Machine learning for NeuroImaging in Python

Structural MRI PREProcessing (sMRIPrep) workflows for NIPreps (NeuroImaging PREProcessing tools)

dMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse dMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.

fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.

Python tools for querying and manipulating BIDS datasets.