nipype

imported

software/nipype

Workflows and interfaces for neuroimaging packages

Machine-generated from the listed sources and not yet reviewed by a human.

nipype project image — GitHub preview card for nipy/nipype. Served by its origin, not stored here, and not covered by this registry’s licence.

record

Category: Software & Systems
Subcategory: unknown
License: Apache-2.0(osi)
Status: active
Maturity: deployed
Organization: nipy
Country: unknown
Homepage: nipype.readthedocs.org/en/latest/
Repository: github.com/nipy/nipype
Documentation: unknown
Tags: big-data · brain-imaging · brainweb · data-science · dataflow · dataflow-programming · neuroimaging · python · workflow-engine
Regulatory: unknown

built by · 6

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

automaticanalysisbig-data · dataflow · neuroimaging
Automatic Analysis (aa)
ActflowToolboxbrainweb · neuroimaging
The Brain Activity Flow ("Actflow") Toolbox. Tools to quantify the relationship between connectivity and task activity through network simulations and machine learning prediction. Helps determine…
clinicabrainweb · neuroimaging
Software platform for clinical neuroimaging studies
hitchhackers_guide_brainbrainweb · neuroimaging
A list of tutorials and other resources useful to learn open science and neuroimaging, EEG and MEG
vscode-neuro-viewerbrainweb · neuroimaging
Check metadata and visualize neuroimages within VSCode.
DVARSbig-data · neuroimaging
Insight & Inference for DVARS: 3-part variance decomposition, gives units & p-values to DVARS measures as well as spatiotemporal rs-fMRI diagnostic.

sources

api.github.com/repos/nipy/nipype
retrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2026-08-25, 834 stars, license reported as NOASSERTION. Category and schematic were assigned by keyword heuristics and are unreviewed. GitHub reported NOASSERTION; the licence was read from the LICENSE file as Apache-2.0, because GitHub's detector does not recognise open hardware licences.

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machine-readable

/v1/entries/4.json→ .entries["nipype"]

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