nibabel 2.2.1-1 source package in Ubuntu

Changelog

nibabel (2.2.1-1) unstable; urgency=medium

  * Fresh upstream bugfix release

 -- Yaroslav Halchenko <email address hidden>  Wed, 22 Nov 2017 23:01:06 -0500

Upload details

Uploaded by:
NeuroDebian Team on 2017-11-23
Uploaded to:
Sid
Original maintainer:
NeuroDebian Team
Architectures:
all
Section:
python
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Bionic release on 2017-11-24 universe python

Builds

Bionic: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
nibabel_2.2.1-1.dsc 2.5 KiB e2be9b692c15dece1aab29cbc784dabf2c0da32e64f4c074fa96ce14c38b8277
nibabel_2.2.1.orig.tar.gz 3.6 MiB df3ed16ea1133ea6f595c53aed02d8bf8bd6fb83646504cd55aebe6368f1e4a5
nibabel_2.2.1-1.debian.tar.xz 7.6 KiB 375405432836fbf493db993a16b78294d7eeae19d039de03f6e61858124d590c

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Binary packages built by this source

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

python-nibabel-doc: documentation for NiBabel

 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 provides the documentation in HTML format.

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.