_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/

Enter the query into the form above. You can look for specific version of a package by using @ symbol like this: gcc@10.

API method:

GET /api/packages?search=hello&page=1&limit=20

where search is your query, page is a page number and limit is a number of items on a single page. Pagination information (such as a number of pages and etc) is returned in response headers.

If you'd like to join our channel webring send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.


python-nixio 1.5.4
Propagated dependencies: python-h5py@3.13.0 python-numpy@1.26.4 python-six@1.17.0
Channel: guix-science
Location: guix-science/packages/electrophysiology.scm (guix-science packages electrophysiology)
Home page: https://github.com/G-Node/nixpy
Licenses: Modified BSD
Build system: pyproject
Synopsis: Python implementation of the NIX data model
Description:

The NIX data model allows to store fully annotated scientific dataset, i.e. the data together with its metadata within the same container. The current implementations store the actual data using the HDF5 file format as a storage backend.

python-pycrostates 0.6.1
Propagated dependencies: python-decorator@5.2.1 python-jinja2@3.1.2 python-joblib@1.5.2 python-matplotlib@3.8.2 python-mne@1.11.0 python-numpy@1.26.4 python-packaging@25.0 python-pooch@1.8.1 python-psutil@7.0.0 python-scikit-learn@1.7.0 python-scipy@1.12.0
Channel: guix-science
Location: guix-science/packages/electrophysiology.scm (guix-science packages electrophysiology)
Home page: https://pycrostates.readthedocs.io
Licenses: Modified BSD
Build system: pyproject
Synopsis: Python package for EEG microstate segmentation
Description:

This package provides a simple open source Python package for EEG microstate segmentation.

python-picard 0.8.1
Propagated dependencies: python-numpy@1.26.4 python-scikit-learn@1.7.0 python-scipy@1.12.0
Channel: guix-science
Location: guix-science/packages/electrophysiology.scm (guix-science packages electrophysiology)
Home page: https://mind-inria.github.io/picard
Licenses: Modified BSD
Build system: pyproject
Synopsis: Preconditoned ICA for Real Data
Description:

Picard provides Python/Octave/MATLAB code for the preconditionned ICA for real data.

python-pybv 0.7.6
Propagated dependencies: python-numpy@1.26.4
Channel: guix-science
Location: guix-science/packages/electrophysiology.scm (guix-science packages electrophysiology)
Home page: https://pybv.readthedocs.io
Licenses: Modified BSD
Build system: pyproject
Synopsis: I/O utility for the BrainVision data format
Description:

pybv is a lightweight I/O utility for the BrainVision data format. The BrainVision data format is a recommended data format for use in the Brain Imaging Data Structure.

python-edfio 0.4.10
Propagated dependencies: python-numpy@1.26.4
Channel: guix-science
Location: guix-science/packages/electrophysiology.scm (guix-science packages electrophysiology)
Home page: https://edfio.readthedocs.io
Licenses: ASL 2.0
Build system: pyproject
Synopsis: Read and write EDF/EDF+ files
Description:

edfio is a Python package for reading and writing EDF and EDF+C files.

python-track-linearization 2.4.0
Propagated dependencies: python-dask@2024.12.1 python-matplotlib@3.8.2 python-networkx@3.4.2 python-numpy@1.26.4 python-pandas@2.2.3 python-scipy@1.12.0
Channel: guix-science
Location: guix-science/packages/electrophysiology.scm (guix-science packages electrophysiology)
Home page: https://github.com/LorenFrankLab/track_linearization
Licenses: Expat
Build system: pyproject
Synopsis: Linearize 2D position to 1D using Hidden Markov Models
Description:

track_linearization is a Python package for mapping animal movement on complex track environments (mazes, figure-8s, T-mazes) into simplified 1D representations. It uses Hidden Markov Models to handle noisy position data and provides powerful tools for analyzing spatial behavior in neuroscience experiments.

python-position-tools 0.2.2
Propagated dependencies: python-numpy@1.26.4 python-scipy@1.12.0 python-tqdm@4.67.1
Channel: guix-science
Location: guix-science/packages/electrophysiology.scm (guix-science packages electrophysiology)
Home page: https://github.com/LorenFrankLab/position_tools
Licenses: Expat
Build system: pyproject
Synopsis: Tools for calculating smoothed 2D position, speed, head direction
Description:

This package provides tools for calculating smoothed 2D position, speed, head direction.

python-phylib 2.7.0-0.68b3d7e
Propagated dependencies: python-dask@2024.12.1 python-joblib@1.5.2 python-mtscomp@1.0.2 python-numpy@1.26.4 python-requests@2.32.5 python-responses@0.25.3 python-scipy@1.12.0 python-toolz@1.0.0 python-tqdm@4.67.1
Channel: guix-science
Location: guix-science/packages/electrophysiology.scm (guix-science packages electrophysiology)
Home page: https://github.com/cortex-lab/phylib
Licenses: Modified BSD
Build system: pyproject
Synopsis: Electrophysiological data analysis library for Python
Description:

This package provides an electrophysiological data analysis library for Python.

python-eeg-positions 2.1.2
Propagated dependencies: python-matplotlib@3.8.2 python-numpy@1.26.4 python-pandas@2.2.3
Channel: guix-science
Location: guix-science/packages/electrophysiology.scm (guix-science packages electrophysiology)
Home page: https://eeg-positions.readthedocs.io/
Licenses: Expat
Build system: pyproject
Synopsis: Compute and plot standard EEG electrode positions
Description:

This package contains code to compute the standard EEG electrode locations on a spherical head model for the 10-20, 10-10, and 10-05 system.

python-snirf 0.8.0
Propagated dependencies: python-colorama@0.4.6 python-h5py@3.13.0 python-numpy@1.26.4 python-termcolor@2.5.0
Channel: guix-science
Location: guix-science/packages/electrophysiology.scm (guix-science packages electrophysiology)
Home page: https://github.com/BUNPC/pysnirf2
Licenses: GPL 3
Build system: pyproject
Synopsis: Interface and validator for SNIRF files
Description:

Python library for reading, writing, and validating SNIRF files

python-mne 1.11.0
Dependencies: procps@4.0.3
Propagated dependencies: python-decorator@5.2.1 python-jinja2@3.1.2 python-lazy-loader@0.4 python-matplotlib@3.8.2 python-numpy@1.26.4 python-packaging@25.0 python-pooch@1.8.1 python-scipy@1.12.0 python-tqdm@4.67.1
Channel: guix-science
Location: guix-science/packages/electrophysiology.scm (guix-science packages electrophysiology)
Home page: https://mne.tools/stable/index.html
Licenses: Modified BSD
Build system: pyproject
Synopsis: MEG and EEG analysis and visualization
Description:

MNE-Python is an open-source Python package for exploring, visualizing, and analyzing human neurophysiological data such as MEG, EEG, sEEG, ECoG, and more. It includes modules for data input/output, preprocessing, visualization, source estimation, time-frequency analysis, connectivity analysis, machine learning, statistics, and more.

meggie 1.10.0
Propagated dependencies: python-appdirs@1.4.4 python-colorama@0.4.6 python-h5io@0.2.5 python-json-logger@2.0.7 python-matplotlib@3.8.2 python-mne@1.11.0 python-mne-qt-browser@0.7.4 python-numpy@1.26.4 python-pandas@2.2.3 python-pyqt@5.15.11 python-scikit-learn@1.7.0
Channel: guix-science
Location: guix-science/packages/electrophysiology.scm (guix-science packages electrophysiology)
Home page: https://cibr-jyu.github.io/meggie
Licenses: Modified BSD
Build system: pyproject
Synopsis: User-friendly graphical user interface to do M/EEG analysis
Description:

Meggie is an open-source software designed for intuitive MEG and EEG analysis. With its user-friendly graphical interface, Meggie brings the powerful analysis methods of MNE-Python to researchers without requiring programming skills.

python-mne-features 0.3.1
Propagated dependencies: python-mne@1.11.0 python-numba@0.61.0 python-numpy@1.26.4 python-pandas@2.2.3 python-pywavelets@1.8.0 python-scikit-learn@1.7.0 python-scipy@1.12.0
Channel: guix-science
Location: guix-science/packages/electrophysiology.scm (guix-science packages electrophysiology)
Home page: https://mne.tools/mne-features
Licenses: Modified BSD
Build system: pyproject
Synopsis: Software for extracting features from multivariate time series
Description:

This package provides code for feature extraction with M/EEG data.

python-mffpy 0.10.0
Propagated dependencies: python-deprecated@1.2.14 python-lxml@6.0.1 python-numpy@1.26.4 python-pytz@2025.1
Channel: guix-science
Location: guix-science/packages/electrophysiology.scm (guix-science packages electrophysiology)
Home page: https://github.com/BEL-Public/mffpy
Licenses: ASL 2.0
Build system: pyproject
Synopsis: Reader and Writer for Philips' MFF file format
Description:

mffpy is a lean reader for EGI's MFF file format. These files are directories containing several files of mostly xml files, but also binary files.

python-pyriemann 0.10
Propagated dependencies: python-joblib@1.5.2 python-matplotlib@3.8.2 python-numpy@1.26.4 python-scikit-learn@1.7.0 python-scipy@1.12.0
Channel: guix-science
Location: guix-science/packages/electrophysiology.scm (guix-science packages electrophysiology)
Home page: https://pyriemann.readthedocs.io
Licenses: Modified BSD
Build system: pyproject
Synopsis: Machine learning for multivariate data with Riemannian geometry
Description:

pyRiemann is a Python machine learning package based on scikit-learn API. It provides a high-level interface for processing and classification of real (resp. complex)-valued multivariate data through the Riemannian geometry of symmetric (resp. Hermitian) positive definite (SPD) (resp. HPD) matrices.

python-mne-faster 1.2.2
Propagated dependencies: python-mne@1.11.0 python-numpy@1.26.4 python-scipy@1.12.0
Channel: guix-science
Location: guix-science/packages/electrophysiology.scm (guix-science packages electrophysiology)
Home page: https://github.com/wmvanvliet/mne-faster
Licenses: Modified BSD
Build system: pyproject
Synopsis: Automatic EEG bad channel/epoch/ICA-component detection using FASTER
Description:

FASTER is a fully automated, unsupervised method for processing of high density EEG data.

python-wfdb 4.3.0
Propagated dependencies: python-aiohttp@3.11.11 python-fsspec@2025.9.0 python-matplotlib@3.8.2 python-numpy@1.26.4 python-pandas@2.2.3 python-requests@2.32.5 python-scipy@1.12.0 python-soundfile@0.13.1
Channel: guix-science
Location: guix-science/packages/electrophysiology.scm (guix-science packages electrophysiology)
Home page: https://wfdb.readthedocs.io
Licenses: Expat
Build system: pyproject
Synopsis: Tools for reading, writing, and processing physiologic signals and annotations
Description:

A Python-native package for reading, writing, processing, and plotting physiologic signal and annotation data. The core I/O functionality is based on the Waveform Database (WFDB) specifications.

python-spikeinterface 0.103.2
Propagated dependencies: python-distinctipy@1.3.4 python-h5py@3.13.0 python-huggingface-hub@0.31.4 python-matplotlib@3.8.2 python-neo@0.14.3 python-networkx@3.4.2 python-numba@0.61.0 python-numcodecs@0.13.1 python-numpy@1.26.4 python-packaging@25.0 python-pandas@2.2.3 python-probeinterface@0.3.1 python-pydantic@2.10.4 python-scikit-learn@1.7.0 python-scipy@1.12.0 python-threadpoolctl@3.1.0 python-tqdm@4.67.1 python-zarr@2.18.7
Channel: guix-science
Location: guix-science/packages/electrophysiology.scm (guix-science packages electrophysiology)
Home page: https://spikeinterface.readthedocs.io/
Licenses: Expat
Build system: pyproject
Synopsis: Unified framework for spike sorting
Description:

SpikeInterface is a Python framework designed to unify preexisting spike sorting technologies into a single code base.

It can:

  • read/write many extracellular file formats.

  • pre-process extracellular recordings.

  • run many popular, semi-automatic spike sorters (kilosort1-4, mountainsort4-5, spykingcircus, tridesclous, ironclust, herdingspikes, yass, waveclus)

  • run sorters developed in house (lupin, spkykingcicus2, tridesclous2, simple) that compete with kilosort4

  • run theses polar sorters without installation using containers (Docker/Singularity).

  • post-process sorted datasets using th SortingAnalyzer

  • compare and benchmark spike sorting outputs.

  • compute quality metrics to validate and curate spike sorting outputs.

  • visualize recordings and spike sorting outputs in several ways (matplotlib, sortingview, jupyter, ephyviewer)

  • export a report and/or export to phy

  • curate your sorting with several strategies (ml-based, metrics based, manual, ...)

  • have powerful sorting components to build your own sorter.

  • have a full motion/drift correction framework.

python-alphacsc 0.4.1
Propagated dependencies: python-joblib@1.5.2 python-matplotlib@3.8.2 python-mne@1.11.0 python-numba@0.61.0 python-numpy@1.26.4 python-scikit-learn@1.7.0 python-scipy@1.12.0
Channel: guix-science
Location: guix-science/packages/electrophysiology.scm (guix-science packages electrophysiology)
Home page: https://alphacsc.github.io/
Licenses: Modified BSD
Build system: pyproject
Synopsis: Convolutional dictionary learning for noisy signals
Description:

This is a library to perform shift-invariant sparse dictionary learning, also known as convolutional sparse coding (CSC), on time-series data.

python-antio 0.6.1
Propagated dependencies: python-click@8.1.8 python-numpy@1.26.4 python-packaging@25.0 python-psutil@7.0.0
Channel: guix-science
Location: guix-science/packages/electrophysiology.scm (guix-science packages electrophysiology)
Home page: https://github.com/mscheltienne/antio
Licenses: GPL 3
Build system: pyproject
Synopsis: I/O library for the CNT format from ANT Neuro
Description:

This package provides I/O functions for the CNT format from ANT Neuro.

python-mne-qt-browser 0.7.4
Propagated dependencies: python-darkdetect@0.8.0 python-matplotlib@3.8.2 python-mne@1.11.0 python-numpy@1.26.4 python-pyopengl@3.1.9 python-pyqtgraph@0.13.7 python-qdarkstyle@3.2.3 python-qtpy@2.4.3 python-scipy@1.12.0 python-scooby@0.5.12
Channel: guix-science
Location: guix-science/packages/electrophysiology.scm (guix-science packages electrophysiology)
Home page: https://mne.tools
Licenses: Modified BSD
Build system: pyproject
Synopsis: Backend based on pyqtgraph for the 2D-Data-Browser in MNE-Python
Description:

This package provides a new backend based on pyqtgraph for the 2D-Data-Browser in MNE-Python.

python-pyxdf 1.17.1
Propagated dependencies: python-numpy@1.26.4
Channel: guix-science
Location: guix-science/packages/electrophysiology.scm (guix-science packages electrophysiology)
Home page: https://github.com/xdf-modules/pyxdf
Licenses: FreeBSD
Build system: pyproject
Synopsis: Python library for importing XDF (Extensible Data Format)
Description:

XDF is a general-purpose container format for multi-channel time series data with extensive associated meta information. XDF is tailored towards biosignal data such as EEG, EMG, EOG, ECG, GSR, MEG, but it can also handle data with high sampling rate (like audio) or data with a high number of channels (like fMRI or raw video). Meta information is stored as XML.

python-neurodsp 2.3.0
Propagated dependencies: python-matplotlib@3.8.2 python-numpy@1.26.4 python-scipy@1.12.0
Channel: guix-science
Location: guix-science/packages/electrophysiology.scm (guix-science packages electrophysiology)
Home page: https://neurodsp-tools.github.io/neurodsp
Licenses: ASL 2.0
Build system: pyproject
Synopsis: Digital signal processing for neural time series
Description:

Tools to analyze and simulate neural time series, using digital signal processing.

python-sleepecg 0.5.9
Propagated dependencies: python-edfio@0.4.10 python-joblib@1.5.2 python-matplotlib@3.8.2 python-numba@0.61.0 python-numpy@1.26.4 python-pyyaml@6.0.2 python-requests@2.32.5 python-scipy@1.12.0 python-tqdm@4.67.1 python-wfdb@4.3.0
Channel: guix-science
Location: guix-science/packages/electrophysiology.scm (guix-science packages electrophysiology)
Home page: https://sleepecg.readthedocs.io
Licenses: Modified BSD
Build system: pyproject
Synopsis: Sleep stage classification using ECG data
Description:

This package provides a library for sleep stage classification using ECG data.

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Total results: 68658