Welcome to the Nipoppy documentation website!

Nipoppy is a lightweight framework for standardized organization and processing of neuroimaging-clinical datasets. Its goal is to help users adopt the FAIR principles and improve the reproducibility of studies.

Nipoppy protocol

The framework includes three components:

  1. A protocol for data wrangling to standardize generation of analysis-ready datasets

  2. A specification for dataset organization that extends the Brain Imaging Data Structure (BIDS) standard

  3. A command-line interface and Python package that provide user-friendly tools for applying the framework

Next steps

The motivation behind creating Nipoppy

Instructions to set up Nipoppy package

A user guide to get started