Hello all, We are excited to announce a new release of DIPY: DIPY 1.12.1 ! DIPY 1.12.1 (Friday, 23 April 2026) The full release notes are at: https://docs.dipy.org/stable/release_notes/release1.12.html. Thank you all for your contributions and feedback! Please click here <https://docs.dipy.org/stable/api_changes.html#dipy-1-12-0-changes> to check 1.12.1 API changes. Highlights of 1.12.1 release include: - NF: FORCE reconstruction model - NF: New BiasField correction method. - NF: Parallelization of EuDX tractography. - NF: Intermediate map for symmetric diffeomorphic registration. - NF: StatefulSurface class to handle surfaces. - NF: Multiple new workflows (dipy_fit_force, dipy_fit_msmtcsd, dipy_brain_mask, dipy_cluster_streamlines, dipy_fit_powermap, dipy_fit_fwdti). - ENH: Cythonization of multiple algorithms to improve performance. - RF: TRX as default file format for tractography outputs. - RF: Adoption of pathlib across workflows. - RF: Refactoring of NLmeans denoising (classic and blockwise variants). - Added support for Python 3.14 and drop support for Python 3.10. - Documentation update. - Closed 324 issues and merged 173 pull requests. To upgrade or install <http://dipy.org/release0.10.html> DIPY Run the following command in your terminal: <http://dipy.org/release0.10.html> pip install --upgrade dipy This version of DIPY depends on nibabel (3.0.0+). For visualization you need FURY (0.12.0+). Questions or suggestions? For any questions go to https://dipy.org, or send an e-mail to dipy@python.org Finally, a new forum is available at https://github.com/dipy/dipy/discussions Have a wonderful time using the new version. Please support us by citing DIPY in your papers using the following DOI: 10.3389/fninf.2014.00008 <https://www.ncbi.nlm.nih.gov/pubmed/24600385> On behalf of the DIPY developers, Eleftherios Garyfallidis, Ariel Rokem, Serge Koudoro https://dipy.org/contributors