Skip to main content

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.

Project description

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

niwrap_afni-1.0.0.tar.gz (773.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

niwrap_afni-1.0.0-py3-none-any.whl (1.4 MB view details)

Uploaded Python 3

File details

Details for the file niwrap_afni-1.0.0.tar.gz.

File metadata

  • Download URL: niwrap_afni-1.0.0.tar.gz
  • Upload date:
  • Size: 773.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for niwrap_afni-1.0.0.tar.gz
Algorithm Hash digest
SHA256 809105213ba796bacbb8ca9bfafb67bbe4484b4b19c0e6c6fad23cdec8dc077e
MD5 32fc5fb611765be96325506bdbf55a1b
BLAKE2b-256 25bfc06b7715608ce29d5377b5c3be0beb0fc9c56b2bdee0b8640734b80b5e36

See more details on using hashes here.

File details

Details for the file niwrap_afni-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: niwrap_afni-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 1.4 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for niwrap_afni-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c4db055bb2a96ce9384750009f1d26313873a834b342e2b488a42b2ea1c5bd98
MD5 a04b1109a0b355c711b492b2633ddf80
BLAKE2b-256 a2f75cc2fffbbbd91e01b8a48aca465d271e8ed78c4423795f1237f770921331

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page