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Back to bbci/pyff

Open-source alternatives to Pyff

14 open-source projects similar to bbci/pyff, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Pyff alternative.

  • arctop/mw75-streamerarctop 的头像

    arctop/mw75-streamer

    6在 GitHub 上查看↗

    Stream 12-channel EEG data from MW75 Neuro headphones with WebSocket, CSV, and LSL output support.

    Python
    在 GitHub 上查看↗6
  • bbci/mushuB

    bbci/mushu

    0在 GitHub 上查看↗

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    在 GitHub 上查看↗0
  • bbci/wyrmbbci 的头像

    bbci/wyrm

    100在 GitHub 上查看↗

    Wyrm is a Brain Computer Interface (BCI) toolbox written in Python. Wyrm is suitable for running on-line BCI experiments as well as off-line analysis of EEG data.

    Python
    在 GitHub 上查看↗100
  • curiositry/eegruntcuriositry 的头像

    curiositry/EEGrunt

    262在 GitHub 上查看↗

    Working with EEG (electroencephalography) data is hard, and this little library aims to make it easier. EEGrunt consists of a collection of functions for reading EEG data from CSV files, converting and filtering it in various ways, and finally generating pretty and informative visualizations.

    Python
    在 GitHub 上查看↗262
  • eegsynth/eegsyntheegsynth 的头像

    eegsynth/eegsynth

    404在 GitHub 上查看↗

    The EEGsynth is a Python codebase released under the GNU general public license that provides a real-time interface between (open-hardware) devices for electrophysiological recordings (e.g., EEG, EMG and ECG) and analogue and digital devices (e.g., MIDI, lights, games and analogue synthesizers).…

    Python
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lmbooth/pybciLMBooth 的头像

LMBooth/pybci

33在 GitHub 上查看↗

A Python package to create real-time Brain Computer Interfaces (BCI's). Data synchronisation and pipelining handled by the Lab Streaming Layer, machine learning with Pytorch, scikit-learn or TensorFlow, leveraging packages like AntroPy, SciPy and NumPy for generic time and/or frequency based…

Python
在 GitHub 上查看↗33
  • mne-tools/mne-pythonmne-tools 的头像

    mne-tools/mne-python

    3,243在 GitHub 上查看↗

    MNE-Python is an open-source Python library for processing, visualizing, and analyzing human neurophysiological data, including MEG, EEG, sEEG, ECoG, and NIRS recordings. It provides a comprehensive framework for loading data from over 30 proprietary file formats into a common hierarchical FIF data structure, and represents all time-series data as NumPy arrays for seamless integration with the scientific Python ecosystem. The library is built around object-oriented data containers that encapsulate raw, epoched, evoked, and source data with built-in preprocessing and visualization methods. The

    Pythonecogeegelectrocorticography
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  • neurotechx/moabbN

    NeuroTechX/moabb

    0在 GitHub 上查看↗

    Mother of all BCI Benchmarks Build a comprehensive benchmark of popular Brain-Computer Interface (BCI) algorithms applied on an extensive list of freely available EEG datasets.

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  • nmc-costa/neuroprimenmc-costa 的头像

    nmc-costa/neuroprime

    5在 GitHub 上查看↗

    © 2021 nmc-costa. All Rights Reserved. “simplifyhit”™ is a trademark of nmc-costa.

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  • octopicorn/bcikitoctopicorn 的头像

    octopicorn/bcikit

    16在 GitHub 上查看↗

    Toolkit and workbench for Brain Computer Interface (BCI) software development, for Python. Modular design built to play well with Machine Learning algorithms that follow python's scikit-learn interface.

    JavaScript
    在 GitHub 上查看↗16
  • pia-group/biosppyPIA-Group 的头像

    PIA-Group/BioSPPy

    646在 GitHub 上查看↗

    A toolbox for biosignal processing written in Python.

    Python
    在 GitHub 上查看↗646
  • pyriemann/pyriemannpyRiemann 的头像

    pyRiemann/pyRiemann

    767在 GitHub 上查看↗

    pyRiemann is a python package for covariance matrices manipulation and classification through Riemannian geometry.

    Python
    在 GitHub 上查看↗767
  • strfry/opennfbstrfry 的头像

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    62在 GitHub 上查看↗

    A Neurofeedback Software for Programmers

    Python
    在 GitHub 上查看↗62
  • thunder-project/thunderthunder-project 的头像

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    822在 GitHub 上查看↗

    scalable analysis of images and time series

    Python
    在 GitHub 上查看↗822