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mne-bids

imported

data/mne-bids

MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.

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

record
Category
Data & Standards
Subcategory
unknown
License
BSD-3-Clause(osi)
Status
active
Maturity
deployed
Organization
mne-tools
Country
unknown
Homepage
mne.tools/mne-bids/
Repository
github.com/mne-tools/mne-bids
Documentation
unknown
Tags
bids · eeg · electroencephalography · ieeg · magnetoencephalography · meg · mne · 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.

  • bids-matlabbids · eeg · ieeg · meg · neuroimaging

    MATLAB / Octave tools for BIDS datasets

  • mne-arieeg · electroencephalography · magnetoencephalography · meg · neuroimaging

    All-resolutions Inference for M/EEG in Python

  • mne-pythoneeg · electroencephalography · magnetoencephalography · meg · neuroimaging

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

  • braindecodeeeg · electroencephalography · magnetoencephalography · meg

    Deep learning software to decode EEG, ECG or MEG signals

  • eyeartifactcorrectioneeg · electroencephalography · magnetoencephalography · meg

    Eye movement and blink-related EEG and MEG artifact correction algorithms

  • mnelabeeg · meg · mne

    MNELAB – a GUI for MNE-Python

sources
  1. api.github.com/repos/mne-tools/mne-bids
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-03, 180 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/0.json→ .entries["mne-bids"]

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