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nilearn

imported

software/nilearn

Machine learning for NeuroImaging in Python

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

nilearn project image
GitHub preview card for nilearn/nilearn. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
BSD-3-Clause(osi)
Status
active
Maturity
deployed
Organization
nilearn
Country
unknown
Homepage
nilearn.github.io
Repository
github.com/nilearn/nilearn
Documentation
unknown
Tags
brain-connectivity · brain-imaging · brain-mri · decoding · fmri · machine-learning · mvpa · neuroimaging
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.

  • hypercoilbrain-connectivity · brain-imaging · fmri · neuroimaging

    A differentiable program for mapping brain function

  • niftiviewbrain-imaging · brain-mri · fmri · neuroimaging

    View volumetric images in Python 🧠

  • niftiview-appbrain-imaging · brain-mri · fmri · neuroimaging

    Standalone app for viewing volumetric images 🧠 based on Python

  • multi-FRAMEfmri · mvpa · neuroimaging

    Package for multivariate fMRI analyses

  • Athenabrain-connectivity · brain-imaging · neuroimaging

    ATHENA (Automatic Toolbox for Handling Experimental Neural Analysis)

  • NeuroMorph-Assessmentbrain-imaging · brain-mri · neuroimaging

    An automated structural MRI morphometry system integrating CAT12 processing, brain tissue quantification, visualization, and automated report generation.

sources
  1. api.github.com/repos/nilearn/nilearn
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-03, 1423 stars, license reported as BSD-3-Clause. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/62.json→ .entries["nilearn"]

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