NiWrap wrappers for AFNI

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 provides a comprehensive environment for processing, analyzing, and visualizing neuroimaging data, including real-time FMRI capabilities. It is freely available as open source software for research purposes.

AFNI is made by Robert W. Cox, Ziad S. Saad, Richard C. Reynolds, Daniel R. Glen, Paul A. Taylor, Gang Chen.

This package contains wrappers only and has no affiliation with the original authors.

Key dates

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  • Released:
Newer release available (1.1.0)

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PyPI data
Data sourced directly from PyPI's database.
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Credits

Author: Robert W. Cox, Ziad S. Saad, Richard C. Reynolds, Daniel R. Glen, Paul A. Taylor, Gang Chen

License

MIT

Requires

Python >=3.10

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Release history Release notifications | RSS feed

1.1.0

2 files

1.0.5

2 files

This release

1.0.4 This release

2 files

1.0.3

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1.0.2

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1.0.1

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1.0.0

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0.9.5

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0.9.3

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0.9.1

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0.9.0

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0.8.13

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0.8.12

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0.8.11

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0.8.10

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0.8.3

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0.8.2

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0.8.1

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0.8.0

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0.7.0

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0.6.3

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0.6.2

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0.6.1

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0.6.0

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0.5.3

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0.5.2

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0.5.1

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0.5.0

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