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

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 search send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.


python-igor2 0.5.12
Propagated dependencies: python-matplotlib@3.8.2 python-numpy@1.26.4
Channel: guix-science
Location: guix-science/packages/electrophysiology.scm (guix-science packages electrophysiology)
Home page: https://github.com/AFM-analysis/igor2
Licenses: LGPL 3
Build system: pyproject
Synopsis: Interface for reading binary IGOR files
Description:

Python parser for Igor Binary Waves (.ibw) and Packed Experiment (.pxp) files written by WaveMetrics' IGOR Pro software.

python-kilosort 4.1.3
Propagated dependencies: python-faiss@1.10.0 python-matplotlib@3.8.2 python-numba@0.61.0 python-numpy@1.26.4 python-psutil@7.0.0 python-pyqtgraph@0.13.7 python-pyside-6@6.9.2 python-pytorch@2.9.0 python-qtpy@2.4.3 python-scikit-learn@1.7.0 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/MouseLand/kilosort
Licenses: Modified BSD
Build system: pyproject
Synopsis: spike sorting pipeline
Description:

spike sorting pipeline.

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-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-ari 0.1.2-1.3c78a18
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/john-veillette/mne-ari
Licenses: Modified BSD
Build system: pyproject
Synopsis: All-Resolutions Inference for M/EEG
Description:

This package implements both parametric and permutation-based ARI, and is meant to be compatible with the MNE-Python ecosystem.

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-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-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-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.

liblsl 1.17.5
Dependencies: asio@1.36.0 boost@1.89.0 pugixml@1.12.1
Channel: guix-science
Location: guix-science/packages/electrophysiology.scm (guix-science packages electrophysiology)
Home page: https://labstreaminglayer.readthedocs.io/
Licenses: Expat
Build system: cmake
Synopsis: Lab Streaming Layer library
Description:

This package provides a C++ library for multi-modal time-synched data transmission over the local network.

device-xlib 0.8.6
Dependencies: openblas@0.3.30
Channel: guix-science
Location: guix-science/packages/fortran.scm (guix-science packages fortran)
Home page: https://gitlab.com/max-centre/components/devicexlib
Licenses: GPL 3+
Build system: gnu
Synopsis: Fortran library wrapping device-oriented routines and utilities
Description:

deviceXlib is a library that wraps device-oriented routines and utilities, such as device data allocation, host-device data transfers. It supports CUDA language, together with OpenACC and OpenMP programming paradigms. It wraps a subset of functions from Nvidia cuBLAS, Intel oneMKL BLAS and AMD rocBLAS libraries.

device-xlib 0.2.0-1.08558f7
Dependencies: openblas@0.3.30 lapack@3.12.1
Channel: guix-science
Location: guix-science/packages/fortran.scm (guix-science packages fortran)
Home page: https://gitlab.com/max-centre/components/devicexlib
Licenses: GPL 3+
Build system: gnu
Synopsis: Fortran library wrapping device-oriented routines and utilities
Description:

deviceXlib is a library that wraps device-oriented routines and utilities, such as device data allocation, host-device data transfers. It supports CUDA language, together with OpenACC and OpenMP programming paradigms. It wraps a subset of functions from Nvidia cuBLAS, Intel oneMKL BLAS and AMD rocBLAS libraries.

fypp 3.2
Channel: guix-science
Location: guix-science/packages/fortran.scm (guix-science packages fortran)
Home page: https://github.com/aradi/fypp
Licenses: FreeBSD
Build system: pyproject
Synopsis: Python powered Fortran preprocessor
Description:

Fypp is a Python powered preprocessor. It can be used for any programming languages but its primary aim is to offer a Fortran preprocessor, which helps to extend Fortran with condititional compiling and template metaprogramming capabilities. Instead of introducing its own expression syntax, it uses Python expressions in its preprocessor directives, offering the consistency and versatility of Python when formulating metaprogramming tasks.

fortran-fpm 0.13.0
Dependencies: gfortran@14.3.0
Channel: guix-science
Location: guix-science/packages/fortran.scm (guix-science packages fortran)
Home page: https://fpm.fortran-lang.org
Licenses: Expat
Build system: copy
Synopsis: Fortran Package Manager
Description:

Fortran Package Manager (fpm) is a package manager and build system for Fortran. Its key goal is to improve the user experience of Fortran programmers. It does so by making it easier to build your Fortran program or library, run the executables, tests, and examples, and distribute it as a dependency to other Fortran projects. Fpm's user interface is modeled after Rust's Cargo, so if you're familiar with that tool, you will feel at home with fpm. Fpm's long term vision is to nurture and grow the ecosystem of modern Fortran applications and libraries.

python-geoh5py 0.12.0
Propagated dependencies: python-h5py@3.13.0 python-numpy@1.26.4 python-pillow@11.1.0 python-pydantic@1.10.19
Channel: guix-science
Location: guix-science/packages/geoscience.scm (guix-science packages geoscience)
Home page: https://mirageoscience-geoh5py.readthedocs-hosted.com/
Licenses: LGPL 3+
Build system: pyproject
Synopsis: Support for the geoh5 file format in Python
Description:

This package provides a Python library for manipulation and storage of a wide range of geoscientific data (points, curve, surface, 2D and 3D grids) in *.geoh5 file format.

python-contextily 1.7.0
Propagated dependencies: python-geopy@2.4.1 python-joblib@1.5.2 python-matplotlib@3.8.2 python-mercantile@1.2.1 python-pillow@11.1.0 python-rasterio@1.3.7 python-requests@2.32.5 python-xyzservices@2025.4.0
Channel: guix-science
Location: guix-science/packages/geoscience.scm (guix-science packages geoscience)
Home page: https://contextily.readthedocs.io/
Licenses: Modified BSD
Build system: pyproject
Synopsis: Context geo-tiles in Python
Description:

This packge provides utilities to retrieve tile maps from the internet. It can add those tiles as basemap to matplotlib figures or write tile maps to disk into geospatial raster files. Bounding boxes can be passed in both WGS84 (EPSG:4326) and Spheric Mercator (EPSG:3857).

python-harmonica 0.7.0
Propagated dependencies: python-choclo@0.3.2 python-numba@0.61.0 python-numpy@1.26.4 python-pandas@2.2.3 python-scikit-learn@1.7.0 python-scipy@1.12.0 python-verde@1.8.0 python-xarray@2023.12.0 python-xrft@1.0.1
Channel: guix-science
Location: guix-science/packages/geoscience.scm (guix-science packages geoscience)
Home page: https://www.fatiando.org/harmonica/
Licenses: Modified BSD
Build system: pyproject
Synopsis: Processing and modelling of gravity and magnetic data
Description:

Harmonica is a Python library for processing and modeling gravity and magnetic data. It includes common processing steps, like calculation of Bouguer and terrain corrections, reduction to the pole, upward continuation, equivalent sources, and more. There are forward modeling functions for basic geometric shapes, like point sources, prisms and tesseroids.

python-pymatsolver 0.4.0
Propagated dependencies: python-numpy@1.26.4 python-packaging@25.0 python-scipy@1.12.0
Channel: guix-science
Location: guix-science/packages/geoscience.scm (guix-science packages geoscience)
Home page: https://pymatsolver.readthedocs.io/
Licenses: Expat
Build system: pyproject
Synopsis: Sparse matrix solvers for Python
Description:

This package provides a set of sparse matrix solvers used in geoscience.

All solvers work with scipy.sparse matricies, and a single or multiple right hand sides using numpy:

  • L/U Triangular Solves

  • Wrapping of SciPy matrix solvers (direct and indirect)

  • Pardiso solvers now that MKL comes with conda!

  • Mumps solver with nice error messages

python-discretize 0.12.0
Propagated dependencies: python-numpy@1.26.4 python-scipy@1.12.0
Channel: guix-science
Location: guix-science/packages/geoscience.scm (guix-science packages geoscience)
Home page: https://discretize.simpeg.xyz/
Licenses: Expat
Build system: pyproject
Synopsis: Finite volume discretization in Python
Description:

This package provides discretization tools for finite volume and inverse problems.

The vision is to create a package for finite volume simulation with a focus on large scale inverse problems. This package has the following features:

  • modular with respect to the spacial discretization

  • built with the inverse problem in mind

  • supports 1D, 2D and 3D problems

  • access to sparse matrix operators

  • access to derivatives to mesh variables

Currently, discretize supports:

  • Tensor Meshes (1D, 2D and 3D)

  • Cylindrically Symmetric Meshes

  • QuadTree and OcTree Meshes (2D and 3D)

  • Logically Rectangular Meshes (2D and 3D)

  • Triangular (2D) and Tetrahedral (3D) Meshes

python-odc-geo 0.5.0
Propagated dependencies: python-affine@2.4.0 python-cachetools@6.1.0 python-dask@2024.12.1 python-numpy@1.26.4 python-pyproj@3.6.1 python-rasterio@1.3.7 python-shapely@2.1.1 python-xarray@2023.12.0
Channel: guix-science
Location: guix-science/packages/geoscience.scm (guix-science packages geoscience)
Home page: https://odc-geo.readthedocs.io/
Licenses: ASL 2.0
Build system: pyproject
Synopsis: Geometry classes and operations in Python
Description:

This package provides powerful tools for geospatial data manipulation in Python, including working with coordinate reference systems, grid definitions, and spatial transformations.

python-ecmwf-datastores-client 0.4.2
Propagated dependencies: python-attrs@25.3.0 python-multiurl@0.3.7 python-requests@2.32.5 python-typing-extensions@4.15.0
Channel: guix-science
Location: guix-science/packages/geoscience.scm (guix-science packages geoscience)
Home page: https://ecmwf.github.io/ecmwf-datastores-client/
Licenses: ASL 2.0
Build system: pyproject
Synopsis: Python client for the ECMWF Data Stores Service
Description:

This package provides programmatic access to the CDS, ADS and EWDS data catalogues from the ECMWF.

python-utm 0.8.1
Channel: guix-science
Location: guix-science/packages/geoscience.scm (guix-science packages geoscience)
Home page: https://github.com/Turbo87/utm
Licenses: Expat
Build system: pyproject
Synopsis: Bidirectional UTM-WGS84 converter for Python
Description:

This package provides conversion functions between UTM and WGS84 coordinates.

Total packages: 69240