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AFNI (Analysis of Functional NeuroImages) is a suite of programs for the analysis and visualization of multiple MRI modalities: anatomical, functional MRI (FMRI), and diffusion weighted (DW) data. Developed and maintained at the National Institute of Mental Health (NIMH), AFNI pr
pip install niwrap-afni
PyPI declares 1 unique dependency rule for this release. Environment markers are shown when supplied by the project.
<0.8.0,>=0.7.0niwrap-afni publishes 1 wheel and 1 source archive for version 1.0.5. Wheel platform tags: any.
No version-specific Python classifiers are declared.
An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.
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PyPI lists 35 releases with files. The first dated release is ; 29 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .
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