How to Install and Uninstall python3-nibabel Package on Kali Linux
Last updated: November 07,2024
1. Install "python3-nibabel" package
This guide covers the steps necessary to install python3-nibabel on Kali Linux
$
sudo apt update
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$
sudo apt install
python3-nibabel
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2. Uninstall "python3-nibabel" package
This is a short guide on how to uninstall python3-nibabel on Kali Linux:
$
sudo apt remove
python3-nibabel
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python3-nibabel package on Kali Linux
Package: python3-nibabel
Source: nibabel
Version: 5.2.1-1
Installed-Size: 8564
Maintainer: Debian Med Packaging Team
Architecture: all
Depends: python3-importlib-resources | python3-supported-min (>= 3.9), python3-numpy, python3-packaging, python3:any, python3-scipy
Recommends: python3-pydicom, python3-fuse
Suggests: python-nibabel-doc
Size: 2658856
SHA256: 0aba5ca2f10cf1558c3759cb68581224238c46743114f95444d09a2363bf4410
SHA1: 3e649a2b723d1f1cce3961d0dc90749e51af6226
MD5sum: d6b9f26308083513895308b720a8074f
Description: 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.
Description-md5:
Homepage: https://nipy.org/nibabel/
Section: python
Priority: optional
Filename: pool/main/n/nibabel/python3-nibabel_5.2.1-1_all.deb
Source: nibabel
Version: 5.2.1-1
Installed-Size: 8564
Maintainer: Debian Med Packaging Team
Architecture: all
Depends: python3-importlib-resources | python3-supported-min (>= 3.9), python3-numpy, python3-packaging, python3:any, python3-scipy
Recommends: python3-pydicom, python3-fuse
Suggests: python-nibabel-doc
Size: 2658856
SHA256: 0aba5ca2f10cf1558c3759cb68581224238c46743114f95444d09a2363bf4410
SHA1: 3e649a2b723d1f1cce3961d0dc90749e51af6226
MD5sum: d6b9f26308083513895308b720a8074f
Description: 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.
Description-md5:
Homepage: https://nipy.org/nibabel/
Section: python
Priority: optional
Filename: pool/main/n/nibabel/python3-nibabel_5.2.1-1_all.deb