Search Packages

nilearn

Machine learning for NeuroImaging in Python

hedtools

Python validation, summary, and analysis tools for HED (Hierarchical Event Descriptors).

junifer

Forschungszentrum Jülich Neuroimaging Feature Extractor

tedana

TE-dependent analysis of multi-echo fMRI

fmriprep

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.

neurocaps

Co-activation Patterns (CAPs) Python package

fmriprep-docker

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.

pynets

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

neurora

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)

rshrf

Resting state HRF estimation from BOLD-fMRI signal

visualqc

VisualQC : assistive tool to ease the quality control workflow of neuroimaging data.

phys2cvr

python module to compute cerebrovascular reactivity mapping and other related maps

brainiak

Brain Imaging Analysis Kit

pyspfm

Blind sparse hemodynamic deconvolution methods for fMRI data

nibabies

Processing workflows for magnetic resonance images of the brain in infants

nibabies-wrapper

fMRIPrep Lifespan - A robust, transparent workflow tailored for neonate and infant MRI

frat-brain

Application for ROI fMRI data analysis.

multiecho

Combine multiple-echoes from a multi-echo BOLD fMRI acquisition.

hcp-utils

Utilities to use HCP and HCP-like data with nilearn and other Python tools

nichord

Creates chord diagrams for connectivity/graph data

actflow

The Brain Activity Flow (Actflow) Toolbox. Tools to quantify the relationship between connectivity and task activity through network simulations and machine learning prediction. Helps determine how connections contribute to specific brain functions.

fmri-volumetric-renderer

A volumetric fMRI renderer for Jupyter Notebook

rust-dtw

A rust implementation of dynamic time warping with python bindings!

pyqmix

Qmix pump and valve interface