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ANN: DIPY 1.3.0

Hello all,

We are excited to announce a new release of DIPY: DIPY 1.3 is out!

Please support us by citing DIPY in your papers using the following DOI:
10.3389/fninf.2014.00008  <>

DIPY 1.3.0 (Wednesday, 3 November 2020)

This release received contributions from 27 developers (the full release
notes are at: Thank you
all for your contributions and feedback!

Please click here <> to
check API changes.

Highlights of this release include:

- Gibbs ringing correction 10X faster.

- Spherical harmonics basis definitions updated.

- Added SMT2 metrics from mean signal diffusion kurtosis.

- New interface functions added to the registration module.

- New linear transform added to the registration module.

- New tutorials for DIPY command line interfaces.

- Fixed compatibility issues with different dependencies.

- Tqdm (multiplatform progress bar) dependency added.

- Large documentation update.

- Bundle section highlight from BUAN added in Horizon.

- Closed 134 issues and merged 49 pull requests.


Have in mind that DIPY does not support Python 2 after version 0.16.0. All
major Python projects have switched to Python 3. It is time that you switch

To upgrade or install <> DIPY

Run the following command in your terminal:

pip install --upgrade dipy


conda install -c conda-forge dipy

This version of DIPY depends on nibabel (3.0.0+).

For visualization you need FURY (0.6.1+).

Questions or suggestions?

For any questions go to, or send an e-mail to
dipy at <neuroimaging at>

We also have an instant messaging service and chat room available at

On behalf of the DIPY developers,

Eleftherios Garyfallidis, Ariel Rokem, Serge Koudoro