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MEGAP

imported

software/megap

MEGAP: A Comprehensive Pipeline for Automatic Pre-processing of Large-scale MEG Data

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

MEGAP project image
GitHub preview card for BNARGroup/MEGAP. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
BNARGroup
Country
unknown
Homepage
megap.gitbook.io/megap
Repository
github.com/BNARGroup/MEGAP
Documentation
unknown
Tags
automation · large-scale · magnetoencephalography · meg · neuroimaging · neuroscience · pipeline · pre-processing
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.

  • niseqmagnetoencephalography · meg · neuroimaging · neuroscience

    group sequential tests for neuroimaging

  • APPIANautomation · neuroimaging · neuroscience · pipeline

    APPIAN is an open-source automated software pipeline for analyzing PET images in conjunction with MRI. The goal of APPIAN is to make PET tracer kinetic data analysis easy for users with moderate…

  • Biscuitmagnetoencephalography · meg · neuroimaging

    GUI for easy MEG to BIDS conversion

  • LISAmagnetoencephalography · meg · neuroimaging

    Compact and interpretable MEG-to-audio retrieval with explicit spatial and temporal filters.

  • mne-arimagnetoencephalography · meg · neuroimaging

    All-resolutions Inference for M/EEG in Python

  • mne-pythonmagnetoencephalography · meg · neuroimaging

    MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

sources
  1. api.github.com/repos/BNARGroup/MEGAP
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-07-04, 4 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

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machine-readable

/v1/entries/57.json→ .entries["megap"]

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