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BciPy

imported

software/bcipy

Python Brain-Computer Interface Software

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

record
Category
Software & Systems
Subcategory
unknown
License
BSD-3-Clause(osi)
Status
active
Maturity
deployed
Organization
CAMBI-tech
Country
unknown
Documentation
unknown
Tags
bci · brain-computer-interface · data-acquisition · eeg · language-model · python · python3 · signal-processing
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.

  • low_density_eeg_asrbrain-computer-interface · data-acquisition · eeg · signal-processing

    sharing code and data for artifact removal in EEG

  • mne-rtbci · brain-computer-interface · eeg · signal-processing

    Real-time M/EEG signal processing

  • bci.jsbci · eeg · signal-processing

    :bar_chart: EEG signal processing and machine learning in JavaScript

  • channel_selectionbrain-computer-interface · eeg · signal-processing

    Some studies regarding the selection of optimal channels in a BCI based on motor imagery

  • pyLpovbrain-computer-interface · eeg · signal-processing

    EEG signal Offline/Online processing toolbox

  • AugmentedBCIFrameworkbci · brain-computer-interface · eeg

    The UniPA BCI Framework is an Augmented Brain-Computer Interface framework based on the P300 paradigm with further additional modules to perform the acquisition of eye gaze and physiological features.

sources
  1. api.github.com/repos/CAMBI-tech/BciPy
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-07-30, 155 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/46.json→ .entries["bcipy"]

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