python-nipy – Analysis of structural and functional neuroimaging data

NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. It provides functionality for

  • General linear model (GLM) statistical analysis

  • Combined slice time correction and motion correction

  • General image registration routines with flexible cost functions, optimizers and re-sampling schemes

  • Image segmentation

  • Basic visualization of results in 2D and 3D

  • Basic time series diagnostics

  • Clustering and activation pattern analysis across subjects

  • Reproducibility analysis for group studies

Reference:

K. Jarrod Millman, Matthew Brett (2007). Analysis of functional magnetic resonance imaging in Python. Computing in Science & Engineering, 9, 52–55.

Package availability chart

Distribution

Base version

Our version

Architectures

Debian GNU/Linux 10.0 (buster)

0.4.2-2

0.4.2-2~nd100+1

i386, amd64, sparc, armel, ppc64el

Debian GNU/Linux 12.0 (bookworm)

0.5.0-7

Debian GNU/Linux 9.0 (stretch)

0.4.2-2~nd90+1

i386, amd64, sparc, armel

Debian unstable (sid)

0.6.0-2

0.4.2-2~nd+1

i386, amd64, sparc, armel

Ubuntu 16.04 “Xenial Xerus” (xenial)

0.3.0+git262-gbb838d7-1

0.4.2-2~nd16.04+1

i386, amd64, sparc, armel

Ubuntu 18.04 “Bionic Beaver” (bionic)

0.4.2-1

0.4.2-2~nd18.04+1

i386, amd64, sparc, armel

Ubuntu 20.04 “Focal Fossa” (focal)

0.4.2-3

Ubuntu 22.04 “Jammy Jellyfish” (jammy)

0.5.0-2build1

Ubuntu 24.04 “Noble Numbat” (noble)

0.6.0-1build1

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