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BrainStat

imported

software/brainstat

A statistics and context decoding toolbox for neuroimaging.

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

BrainStat project image
GitHub preview card for MICA-MNI/BrainStat. 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
MICA-MNI
Country
unknown
Documentation
unknown
Tags
matlab · neuroimaging · python · statistics
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.

  • CANlab_help_examplesneuroimaging · statistics

    How-to examples and a batch pipeline for second-level neuroimaging analysis. Batch scripts and examples publish HTML files with code and output.

  • confoundsneuroimaging · statistics

    Conquering confounds and covariates: methods, library and guidance

  • hippocampyneuroimaging · statistics

    Toolboox for neurophysiology data analysis (electrophy and calcium imaging)

  • niseqneuroimaging · statistics

    group sequential tests for neuroimaging

  • tacmagicneuroimaging · statistics

    tacmagic: PET Analysis in R

  • afnistatistics

    Official AFNI source and documentation

sources
  1. api.github.com/repos/MICA-MNI/BrainStat
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-05-04, 118 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 BSD-3-Clause, because GitHub's detector does not recognise open hardware licences.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/9.json→ .entries["brainstat"]

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