Diffusion Imaging In Python - Documentation

DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

DIPY is part of the NiPy ecosystem.

Quick links

Get started

New to DIPY? Start with our installation guide and DIPY key concepts.

Tutorials

Browse our tutorials gallery.

Recipes

How do I do X in DIPY? This dedicated section will provide you quick and direct answer.

Workflows

Not comfortable with coding? we have command line interfaces for you. An easy way to use DIPY via a terminal.

Theory

Back to the basics. Learn the theory behind the methods implemented in DIPY.

Developer Guide

Saw a typo? Found a bug? Want to improve a function? Learn how to contribute to DIPY!

API reference

A detailed description of DIPY public Python API.

Workflows API reference

A detailed description of all the DIPY workflows command line.

Release notes

Upgrading from a previous version? See what’s new and changed between each release of DIPY.

Get help

Need help with your processing? Ask us and a large neuroimaging community.

Highlights

DIPY 1.11.0 is now available. New features include:

• NF: Refactoring of the tracking API.

• Deprecation of Tensorflow backend in favor of PyTorch.

• Performance improvements of multiple functionalities.

• DIPY Horizon improvements and minor features added.

• Added support for Python 3.13.

• Drop support for Python 3.9.

• Multiple Workflows updated and added (15 workflows).

• Documentation update.

• Closed 73 issues and merged 47 pull requests.

See Older Highlights.

Announcements

• DIPY 1.11.0 released March 15, 2025.

• DIPY 1.10.0 released December 12, 2024.

• DIPY 1.9.0 released March 8, 2024.

See some of our Past Announcements