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
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 0.4.2-3~nd100+1 i386, amd64, sparc, armel
Debian testing (bullseye) 0.4.2-3 0.4.2-3~nd110+1 i386, amd64, sparc, armel
Debian unstable (sid) 0.4.2-3 0.4.2-3~nd+1 i386, amd64, sparc, armel
Ubuntu 14.04 “Trusty Tahr” (trusty) 0.3.0-1ubuntu2    
Ubuntu 16.04 “Xenial Xerus” (xenial) 0.3.0+git262-gbb838d7-1    
Ubuntu 18.04 “Bionic Beaver” (bionic) 0.4.2-1    
Ubuntu 19.04 “Disco Dingo” (disco) 0.4.2-2 0.4.2-3~nd19.04+1 i386, amd64, sparc, armel
Ubuntu 20.04 “Focal Fossa” (focal) 0.4.2-3    

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