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pybci

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software/pybci

Create real-time BCI's with the LSL, PyTorch, SKLearn and TensorFlow packages.

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

record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
bci · brain-computer-interface · hmi · human-computer-interaction · human-machine-interface · labstreaminglayer · lsl · machine-learning
Regulatory
unknown
built by · 2

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.

  • AugmentedBCIFrameworkbci · brain-computer-interface · hmi · human-computer-interaction

    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.

  • App-SigVisualizerlabstreaminglayer · lsl

    PyQt5 application for real time signal visualization

  • mne-lsllabstreaminglayer · lsl

    A framework for real-time brain signal streaming with MNE-Python.

  • bci-mcpbci · brain-computer-interface · lsl

    Stream live EEG brain state (focus, calm, attention) from any EEG device into Claude and any MCP client — a real Model Context Protocol server + brain-computer interface toolkit.

  • demo-realtimebrain-computer-interface · labstreaminglayer

    Real-time EEG demonstration loops using LSL

  • gaze tracking software

sources
  1. api.github.com/repos/LMBooth/pybci
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2025-07-11, 33 stars, license reported as MIT. 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["pybci"]

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