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python-meegkit

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software/python-meegkit

🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python

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

python-meegkit project image
GitHub preview card for nbara/python-meegkit. 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
unknown
Country
unknown
Documentation
unknown
Tags
binder-ready · cca · denoising · dss · eeg · eeg-processing · meg · neuroscience
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.

  • mne-denoisedss · eeg · neuroscience

    mne-denoise provides narrow-band artefact removal tailored to MNE-Python workflows. It wraps harmonic regression techniques to suppress power-line noise and other oscillatory contaminants while…

  • dreamwalkeeg-processing · neuroscience

    Neural interface system that uses machine learning to decode brain signals and generate immersive virtual worlds. Combines EEG/fMRI processing, deep learning models, and real-time procedural…

  • cornerstone_widgetbinder-ready

    A jupyter widget for the cornerstone library to make showing flashy images with nice tools easier.

  • reproduce-chexnetbinder-ready

    Reproduce CheXNet

  • analyse_OPMEGeeg · meg · neuroscience

    Nic & Rob's lair of scripts to analyse OPM data, using the Fieldtrip toolbox

  • AperiodicMethodseeg · meg · neuroscience

    Evaluating methods for estimating aperiodic activity in electrophysiological data.

sources
  1. api.github.com/repos/nbara/python-meegkit
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-01, 227 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/16.json→ .entries["python-meegkit"]

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