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A flexible framework for volume-to-volume artifact estimation and correction across multiple 4D neuroimaging modalities (diffusion MRI, functional MRI, and PET).
pip install nifreeze
PyPI declares 119 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=24.1.0>=1.5.0>=1.5.1<2.0,>=1.5.1>=25.0.0<2.4.0,>=1.21.3>=0.15.0>=1.3.0>=1.8.0>=4.12The compact report shows 25 of 119 declarations. The interactive dependency graph loads the complete metadata.
nifreeze publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12.
PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .