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axopy

imported

devices/axopy

A Python Library for Implementing Human-Computer Interface Experiments

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

record
Category
Devices & Hardware
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
axopy
Country
unknown
Documentation
unknown
Tags
brain-computer-interface · electrophysiology · experiment-design · gui · human-computer-interaction · prosthetics · qt
Regulatory
unknown
built by · 3

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

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  • insultdetectorbrain-computer-interface · qt

    Python QT application that lets targeted individuals record their EEG data from a BCI device such as Muse2, label communication start/end in their EEG stream, train an AI model from labeled data,…

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  • NeuriGUIbrain-computer-interface · electrophysiology

    NeuriGUI is a modular, cross-platform and FOSS app for exploring electrophysiological signals in real-time - print("Hello, Volt!")

  • AugmentedBCIFrameworkbrain-computer-interface · 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.

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

    Machine-imported from GitHub search. Last push 2023-06-19, 32 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/6.json→ .entries["axopy"]

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