openmedical/registry
← registry

pypes

imported

software/pypes

Reusable neuroimaging pipelines using nipype

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

pypes project image
GitHub preview card for Neurita/pypes. 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
dormant
Maturity
deployed
Organization
Neurita
Country
unknown
Documentation
unknown
Tags
dti · fmri · ica · neuroimaging · nipype · pet · plotting · preprocessing
Regulatory
unknown
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.

  • nifreezefmri · neuroimaging · pet · preprocessing

    A flexible framework for volume-wise artifact estimation and correction across multiple 4D neuroimaging modalities (diffusion MRI, functional MRI, and PET)

  • brainplotlibfmri · neuroimaging · plotting

    A lightweight package to plot brain surfaces with Python.

  • preprocessing_pipelinesnipype · preprocessing

    Preprocessing Pipelines for EEG (MNE-python), fMRI (nipype), MEG (MNE-python/autoreject) data

  • eegprepica · preprocessing

    EEGPrep is an automated preprocessing tool for human EEG data built on a benchmarked EEGLAB pipeline

  • brainanafmri · neuroimaging · preprocessing

    End-to-end preprocessing framework for macaque brain MRI — anatomical & fMRI processing, image registration, surface reconstruction & HTML QC reports.

  • nipype-beginner-s-guideneuroimaging · nipype

    Beginner's guide for Nipype

sources
  1. api.github.com/repos/Neurita/pypes
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2019-05-28, 17 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.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/14.json→ .entries["pypes"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.