brainlife/afni repository overview

⁠afni-docker

A Docker image for AFNI, providing a lightweight containerized environment for structural MRI, functional MRI, diffusion MRI, and neuroimaging quality-control workflows.

This image is derived from the upstream AFNI container:

docker://afni/afni_make_build:AFNI_26.1.00

and is republished under the brainlife namespace to provide a stable, reproducible image for Brainlife workflows across Docker, Singularity/Apptainer, and HPC environments.

The container is intended to make AFNI tools immediately available at runtime, while preserving compatibility with modern adjunct scripts and command-line utilities.

⁠Maintainers

Gabriele Amorosino ([email protected]⁠)

⁠Run (Docker)

docker run --rm -it \
  brainlife/afni:26.1.00 \
  <your_command>

Example:

docker run --rm -it \
  brainlife/afni:26.1.00 \
  afni -help

⁠Run (Singularity / Apptainer)

⁠From your local Docker image

singularity build afni.sif \
  docker-daemon://brainlife/afni:26.1.00

singularity exec \
  --bind $(pwd):/workspace \
  afni.sif \
  <your_command>

⁠Directly from Docker Hub

singularity exec \
  docker://brainlife/afni:26.1.00 \
  <your_command>

Example:

singularity exec \
  docker://brainlife/afni:26.1.00 \
  3dinfo -help

⁠Contents

• AFNI installed from the upstream AFNI container build
• Core AFNI command-line tools available at runtime
• Support for modern AFNI helper and adjunct scripts, including alignment and QC utilities
• Compatible with Docker, Singularity/Apptainer, and HPC execution environments

Common tools include:

• afni
• 3dinfo
• 3dcalc
• 3dTstat
• align_epi_anat.py
• @djunct_edgy_align_check
• 1dplot

The container is designed to remain reproducible, portable, and HPC-friendly, enabling the same AFNI environment across local workstations, clusters, and cloud infrastructures.

⁠Current implementation

The current image is based on:

AFNI 26.1.00

Upstream source image:

docker://afni/afni_make_build:AFNI_26.1.00

Republished as:

brainlife/afni:26.1.00

No functional modifications were made beyond republishing for stable distribution within the Brainlife container ecosystem.

⁠Reference

Cox RW (1996). AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Computerized Medical Imaging and Graphics 29(3):162-173. doi:10.1006/cbmr.1996.0014

PubMed: https://pubmed.ncbi.nlm.nih.gov/8812068/⁠