python3-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
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 0.4.2-3~nd100+1 i386, amd64, sparc, armel, ppc64el
Debian GNU/Linux 11.0 (bullseye)   0.4.3~rc1-1~nd110+1 i386, amd64, sparc, armel
Debian testing (bookworm) 0.5.0-3    
Debian unstable (sid) 0.5.0-3 0.4.3~rc1-1~nd+1 i386, amd64, sparc, armel
Ubuntu 16.04 “Xenial Xerus” (xenial) 0.3.0+git262-gbb838d7-1    
Ubuntu 18.04 “Bionic Beaver” (bionic) 0.4.2-1    
Ubuntu 20.04 “Focal Fossa” (focal) 0.4.2-3    
Ubuntu 21.10 “Impish Indri” (impish) 0.4.3~rc1-1    
Ubuntu 22.04 “Jammy Jellyfish” (jammy) 0.5.0-2build1    


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