nib-ls

Python bindings to various neuroimaging data formats

Install

All systems
curl cmd.cat/nib-ls.sh
Debian Debian
apt-get install python-nibabel
Ubuntu
apt-get install python-nibabel
image/svg+xml Kali Linux
apt-get install python-nibabel
Fedora
dnf install python3-nibabel
Windows (WSL2)
sudo apt-get update sudo apt-get install python-nibabel
Raspbian
apt-get install python-nibabel
Dockerfile
dockerfile.run/nib-ls

python-nibabel

Python bindings to various neuroimaging data formats

NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. This package also provides a commandline tools: - dicomfs - FUSE filesystem on top of a directory with DICOMs - nib-ls - 'ls' for neuroimaging files - parrec2nii - for conversion of PAR/REC to NIfTI images

python3-nibabel

Python3 bindings to various neuroimaging data formats

NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI.