python3-nipy – Analysis of structural and functional neuroimaging data¶
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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.
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 GNU/Linux 12.0 (bookworm) |
0.5.0-7 |
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Debian testing (trixie) |
0.6.0-1 |
||
Debian unstable (sid) |
0.6.0-1 |
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 |
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Ubuntu 20.04 “Focal Fossa” (focal) |
0.4.2-3 |
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Ubuntu 22.04 “Jammy Jellyfish” (jammy) |
0.5.0-2build1 |