python-nibabel - Python bindings to various neuroimaging data formats

Property Value
Distribution Ubuntu 19.04 (Disco Dingo)
Repository NeuroDebian Main amd64
Package filename python-nibabel_2.5.0-1~nd19.04+1_all.deb
Package name python-nibabel
Package version 2.5.0
Package release 1~nd19.04+1
Package architecture all
Package type deb
Category python
License -
Maintainer NeuroDebian Maintainers <>
Download size 2.53 MB
Installed size 64.29 MB
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


Package Version Architecture Repository
python-nibabel_2.5.0-1~nd19.04+1_all.deb 2.5.0 all NeuroDebian Main
python-nibabel_2.3.2-1_all.deb 2.3.2 all Ubuntu Universe
python-nibabel_2.3.2-1_all.deb 2.3.2 all Ubuntu Universe
python-nibabel - - -


Name Value
neurodebian-popularity-contest -
python-bz2file -
python-numpy -
python-scipy -
python-six >= 1.3
python2.7:any -
python:any << 2.8
python:any >= 2.7~


Type URL
Binary Package python-nibabel_2.5.0-1~nd19.04+1_all.deb
Source Package nibabel

Install Howto

  1. Add the following line to /etc/apt/sources.list:
    deb disco main contrib non-free
  2. Install GPG key of the repository:
    # sudo apt-key adv --recv-keys --keyserver hkp:// 0xA5D32F012649A5A9
  3. Update the package index:
    # sudo apt-get update
  4. Install python-nibabel deb package:
    # sudo apt-get install python-nibabel

See Also

Package Description
python-nipype-doc_1.1.9-1~nd18.10+1+nd19.04+1_all.deb Neuroimaging data analysis pipelines in Python -- documentation
python-nipype_1.1.9-1~nd18.10+1+nd19.04+1_all.deb Neuroimaging data analysis pipelines in Python
python-patsy-doc_0.5.0+git13-g54dcf7b-1~nd18.04+1+nd18.10+1+nd19.04+1_all.deb documentation and examples for patsy
python-patsy_0.5.0+git13-g54dcf7b-1~nd18.04+1+nd18.10+1+nd19.04+1_all.deb statistical models in Python using symbolic formulas
python-pprocess_0.5-2~nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+1_all.deb elementary parallel programming for Python
python-props_0.10.1-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+1_all.deb Python descriptor framework
python-pydicom-doc_1.2.1-1~nd18.04+1+nd18.10+1+nd19.04+1_all.deb DICOM medical file reading and writing (documentation)
python-pydicom_1.2.1-1~nd18.04+1+nd18.10+1+nd19.04+1_all.deb DICOM medical file reading and writing (Python 2)
python-pynwb_0.5.1-1~nd18.04+1+nd18.10+1+nd19.04+1_all.deb Python library for working with Neurodata in the NWB format
python-requests-whl_2.8.1-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+1_all.deb elegant and simple HTTP library for Python, built for human beings
python-requests_2.8.1-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+1_all.deb elegant and simple HTTP library for Python2, built for human beings
python-statsmodels-doc_0.9.0-2~nd19.04+1_all.deb documentation and examples for statsmodels
python-statsmodels-lib_0.9.0-2~nd19.04+1_amd64.deb low-level implementations and bindings for statsmodels
python-statsmodels_0.9.0-2~nd19.04+1_all.deb Python module for the estimation of statistical models
python3-datalad_0.11.7-1~nd19.04+1_all.deb data files management and distribution platform