Skip to main content

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.

Metadata

Release files for niwrap-afni 1.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for niwrap-afni 1.1.0
File Size Uploaded Provenance
niwrap_afni-1.1.0.tar.gz 757.6 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for niwrap-afni 1.1.0
File Interpreter ABI Platform
niwrap_afni-1.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 2.1 MB

Release files / niwrap_afni-1.1.0.tar.gz

Download URL niwrap_afni-1.1.0.tar.gz
Size 757.6 kB
Tags Source
SHA-256 checksum
How to use checksums
a9f346d591a9f9129deee3cf1ef973bf698006e21bdcba84d85dafb41c0b41b4
BLAKE2b-256 checksum
How to use checksums
c4f8cc9c8928cf0a1328e4e09ce20270d722e3bff7ae6a23e1e42d8c9a4c0ccb
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / niwrap_afni-1.1.0-py3-none-any.whl

Download URL niwrap_afni-1.1.0-py3-none-any.whl
Size 1.4 MB
Tags Python 3
SHA-256 checksum
How to use checksums
d50431217496a8425b6e1bb0d511cd776126810d3d3b3c1ec47045051b4ea06c
BLAKE2b-256 checksum
How to use checksums
a4844b3e6775a303880990ae562f2cd6ef9be14c6eb1294bd035a7b5842fd31e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Security for niwrap-afni 1.1.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

1.1.0 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page