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

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.


libspatialindex 2.1.0
Channel: guix-science
Location: guix-science/packages/mesh.scm (guix-science packages mesh)
Home page: https://libspatialindex.org
Licenses: Expat
Build system: cmake
Synopsis: Extensible framework for robust spatial indexing methods
Description:

libspatialindex provides spatial indexing utilities, with support for sophisticated spatial queries and interfaces for updating information and customizing the storage management of indices. The library is written in C++, with a C API.

gmlib 3.41-0.b0fb92e
Dependencies: libmeshb@8.02-0.8b415c7 opencl-headers@2024.10.24 opencl-icd-loader@2024.10.24
Channel: guix-science
Location: guix-science/packages/mesh.scm (guix-science packages mesh)
Home page: https://github.com/LoicMarechal/GMlib
Licenses: Expat
Build system: cmake
Synopsis: GPU computing on unstructured meshes
Description:

The purpose of the GMlib is to provide programmers of solvers or automated meshers in the field of scientific computing with an easy, fast and transparent way to port their codes on GPUs (Graphic Processing Units).

This library is based on the OpenCL language standard, thus taking advantage of almost every architectures supported by most platforms (Linux, macOS, Windows).

It is a simple loop parallelization scheme (known as kernels in the realm of GPU computing), provides the programer with pre defined mesh data structures, automatically vectorizes unstructured data like the ball of points or the edge shells, and handles transparently the transfer and vectorization of mesh data structures.

libhash 1.40-0.1ce03ed
Dependencies: libmeshb@8.02-0.8b415c7
Channel: guix-science
Location: guix-science/packages/mesh.scm (guix-science packages mesh)
Home page: https://github.com/LoicMarechal/libHash
Licenses: Expat
Build system: cmake
Synopsis: Library to index and query mesh data structures
Description:

This package provides a hash table library that offers dynamicaly resizing tables and arbitrary number of hash keys insert and queries.

libmeshb 8.02-0.8b415c7
Channel: guix-science
Location: guix-science/packages/mesh.scm (guix-science packages mesh)
Home page: https://github.com/LoicMarechal/libMeshb
Licenses: Expat
Build system: cmake
Synopsis: Library to handle the *.meshb file format
Description:

The Gamma Mesh Format (GMF) and the associated library libMeshb provide programers of simulation and meshing software with an easy way to store their meshes and physical solutions. The GMF features more than 200 kinds of data types, like vertex, polyhedron, normal vector or vector solution field. The libMeshb provides a convenient way to move data between those files, via keyword tags, and the user's own structures.

lplib 4.32-0.38e68fe
Dependencies: libmeshb@8.02-0.8b415c7
Channel: guix-science
Location: guix-science/packages/mesh.scm (guix-science packages mesh)
Home page: https://github.com/LoicMarechal/LPlib
Licenses: Expat
Build system: cmake
Synopsis: Parallelization framework for numerical simulation
Description:

The purpose of the LPlib is to provide programmers of solvers or automated meshers in the field of scientific computing with an easy, fast and transparent way to parallelize their codes. This library is based on posix standard threads, also known as pthreads, thus taking advantage of multi-core chips and shared memory architectures supported by most platforms (Linux, macOS, Windows).

Version 4 provides an early implementation of colored grains scheduling for better scaling and memory localization with high core count systems.

libol 1.85-0.147e167
Dependencies: libmeshb@8.02-0.8b415c7 lplib@4.32-0.38e68fe
Channel: guix-science
Location: guix-science/packages/mesh.scm (guix-science packages mesh)
Home page: https://github.com/LoicMarechal/libOL
Licenses: Expat
Build system: cmake
Synopsis: Quick and easy spatial localization with octree
Description:

The libOL first store a mesh made of vertices, edges and triangles in an octree structure with a very small memory footprint. Subsequently, you can perform geometrical queries very quickly on this mesh:

  • retrieve the closest entity from a given set of coordinates

  • build the list of mesh entities than are include in a given bounding box

  • project a vertex on any kind of geometrical entity

  • launch a ray and get the first intersected entity

  • all query operations can be performed in parallel as the library is thread safe

libsupermesh 2025.4
Dependencies: gfortran@14.3.0 openmpi@4.1.6 openssh@10.2p1 libspatialindex@2.1.0
Channel: guix-science
Location: guix-science/packages/mesh.scm (guix-science packages mesh)
Home page: https://github.com/firedrakeproject/libsupermesh
Licenses: LGPL 2.1
Build system: cmake
Synopsis: Sequential and parallel mesh intersection (supermeshing)
Description:

libsupermesh is a Fortran 2008 library to intersect two overlapping meshes element by element. Pairs of overlapping elements are identified and a local mesh of their intersection is generated.

mvapich2 2.3.7-2
Dependencies: rdma-core@60.0
Channel: guix-science
Location: guix-science/packages/mpi.scm (guix-science packages mpi)
Home page: https://mvapich.cse.ohio-state.edu
Licenses: Modified BSD
Build system: gnu
Synopsis: Open-source MPI implementation compatible with MPICH (legacy)
Description:

MVAPICH2 (pronounced as “em-vah-pich 2”) is an open-source MPI software to exploit the novel features and mechanisms of high-performance networking technologies (InfiniBand, iWARP, RDMA over Converged Enhanced Ethernet (RoCE v1 and v2), Slingshot 10, and Rockport Networks) and deliver best performance and scalability to MPI applications.

hello-mpi 4.1.6
Dependencies: openmpi@4.1.6
Channel: guix-science
Location: guix-science/packages/mpi.scm (guix-science packages mpi)
Home page: https://www.open-mpi.org
Licenses: FreeBSD
Build system: gnu
Synopsis: Basic helloworld MPI program to test MPI connectivity
Description:

This package contains the binary resulting from the compilation of hello_c.c in the examples subdirectory of the Open MPI source code. It can be used to check MPI connectivity on a machine/cluster.

mvapich 4.1
Dependencies: rdma-core@60.0 libfabric@2.3.1 ucx@1.19.0 hwloc@2.12.2 psm2@12.0 libcxi@13.0.0 curl@8.6.0 json-c@0.18
Channel: guix-science
Location: guix-science/packages/mpi.scm (guix-science packages mpi)
Home page: https://mvapich.cse.ohio-state.edu
Licenses: Modified BSD
Build system: gnu
Synopsis: Open-source MPI implementation compatible with MPICH
Description:

MVAPICH (pronounced as “em-vah-pich”) is an open-source MPI software to exploit the novel features and mechanisms of high-performance networking technologies (InfiniBand, iWARP, RDMA over Converged Enhanced Ethernet (RoCE v1 and v2), Slingshot 10, and Rockport Networks) and deliver best performance and scalability to MPI applications. MVAPICH 4.1 has support for the Cray Slingshot 11, Cornelis OPX, and Intel PSM3 interconnects through the OFI libfabric library, and for the UCX communication library.

umpire 2025.12.0
Dependencies: camp@2025.12.0 openmpi@4.1.6
Channel: guix-science
Location: guix-science/packages/mpi.scm (guix-science packages mpi)
Home page: http://umpire.readthedocs.io
Licenses: Modified BSD
Build system: cmake
Synopsis: Application-focused API for memory management on NUMA and GPU architectures
Description:

Umpire is a resource management library that allows the discovery, provision, and management of memory on machines with multiple memory devices like NUMA and GPUs.

mrtrix3 3.0.8
Dependencies: eigen@3.4.0 fftw@3.3.10 qtbase@5.15.17 qtsvg@5.15.17 libpng@1.6.39 libtiff@4.4.0 mesa@25.2.3 python@3.11.14 python-wrapper@3.11.14 xdg-utils@1.2.1 zlib@1.3.1
Channel: guix-science
Location: guix-science/packages/neuroscience.scm (guix-science packages neuroscience)
Home page: https://github.com/MRtrix3/mrtrix3
Licenses: MPL 2.0
Build system: gnu
Synopsis: Tool for image processing, analysis and visualisation
Description:

MRtrix3 provides a large suite of tools for image processing, analysis and visualisation, with a focus on the analysis of white matter using diffusion-weighted MRI.

python-fsleyes-props 1.12.2
Propagated dependencies: python-fsleyes-widgets@0.15.1 python-fslpy@3.24.0 python-matplotlib@3.10.8 python-numpy@2.3.1 python-wxpython@4.2.2
Channel: guix-science
Location: guix-science/packages/neuroscience.scm (guix-science packages neuroscience)
Home page: https://open.win.ox.ac.uk/pages/fsl/fsleyes/props/
Licenses: ASL 2.0
Build system: pyproject
Synopsis: [wx]Python event programming framework used by FSLeyes
Description:

fsleyes_props is a framework for event-driven programming using Python descriptors, similar in functionality to, and influenced by Enthought Traits.

python-mriqc-learn 0.0.3
Propagated dependencies: python-joblib@1.5.2 python-matplotlib@3.10.8 python-numpy@2.3.1 python-pandas@2.3.3 python-scikit-learn@1.7.2
Channel: guix-science
Location: guix-science/packages/neuroscience.scm (guix-science packages neuroscience)
Home page: https://github.com/nipreps/mriqc-learn
Licenses: ASL 2.0
Build system: pyproject
Synopsis: Learning on MRIQC-generated image quality metrics
Description:

This package provides utilities for feature analysis, preprocessing and visualization of image quality metrics generated by MRIQC.

dcm2bids 3.2.0
Dependencies: dcm2niix@1.0.20250506
Channel: guix-science
Location: guix-science/packages/neuroscience.scm (guix-science packages neuroscience)
Home page: https://unfmontreal.github.io/Dcm2Bids/
Licenses: GPL 3
Build system: pyproject
Synopsis: DICOM to BIDS converter
Description:

Convert data from DICOM and organise the resulting NIfTI files into BIDS.

python-fslpy 3.24.0
Propagated dependencies: python-dill@0.4.0 python-h5py@3.15.1 python-indexed-gzip@1.10.3 python-nibabel@5.3.2 python-numpy@2.3.1 python-pillow@11.1.0 python-rtree@1.4.1 python-scipy@1.16.3 python-trimesh@4.5.3
Channel: guix-science
Location: guix-science/packages/neuroscience.scm (guix-science packages neuroscience)
Home page: https://open.win.ox.ac.uk/pages/fsl/fslpy
Licenses: ASL 2.0
Build system: pyproject
Synopsis: FSL Python library
Description:

The fslpy package is a collection of utilities and data abstractions used within FSL and by FSLeyes.

heudiconv 1.3.4
Dependencies: dcm2niix@1.0.20250506
Propagated dependencies: python-dcmstack@0.9 python-etelemetry@0.3.1 python-filelock@3.16.1 python-nibabel@5.3.2 python-nipype@1.10.0 python-pydicom@2.4.4
Channel: guix-science
Location: guix-science/packages/neuroscience.scm (guix-science packages neuroscience)
Home page: https://heudiconv.readthedocs.io
Licenses: ASL 2.0
Build system: pyproject
Synopsis: Heuristic DICOM converter
Description:

heudiconv is a flexible DICOM converter for organizing brain imaging data into structured directory layouts.

python-bidsschematools 1.1.2-0.3f1bc14
Propagated dependencies: python-acres@0.5.0 python-click@8.1.8 python-jsonschema@4.23.0 python-markdown-it-py@3.0.0 python-pandas@2.3.3 python-pyparsing@3.2.3 python-pyyaml@6.0.2 python-tabulate@0.9.0
Channel: guix-science
Location: guix-science/packages/neuroscience.scm (guix-science packages neuroscience)
Home page: https://bidsschematools.readthedocs.io
Licenses: Expat
Build system: pyproject
Synopsis: Tools for working with the @acronym{BIDS, Brain Imaging Data Structure} schema
Description:

This package provides Python tools for working with the BIDS schema.

fsleyes 1.16.2
Propagated dependencies: python-fsleyes-props@1.12.2 python-fsleyes-widgets@0.15.1 python-fslpy@3.24.0 python-jinja2@3.1.2 python-matplotlib@3.10.8 python-nibabel@5.3.2 python-numpy@2.3.1 python-pillow@11.1.0 python-pyopengl@3.1.9 python-pyparsing@3.2.3 python-scipy@1.16.3 python-wxpython@4.2.2
Channel: guix-science
Location: guix-science/packages/neuroscience.scm (guix-science packages neuroscience)
Home page: https://open.win.ox.ac.uk/pages/fsl/fsleyes/fsleyes/userdoc/
Licenses: ASL 2.0
Build system: pyproject
Synopsis: FSL image viewer
Description:

FSL is a comprehensive library of analysis tools for FMRI, MRI and diffusion brain imaging data. FSLeyes is a GUI for visualizing and editing brain images, from different sources and platforms.

python-mapca 0.0.6
Propagated dependencies: python-nibabel@5.3.2 python-nilearn@0.12.1 python-numpy@2.3.1 python-scikit-learn@1.7.2 python-scipy@1.16.3
Channel: guix-science
Location: guix-science/packages/neuroscience.scm (guix-science packages neuroscience)
Home page: https://github.com/ME-ICA/mapca
Licenses: GPL 2
Build system: pyproject
Synopsis: Moving Average Principal Component Analysis for fMRI data
Description:

A Python implementation of the moving average principal components analysis methods for functional MRI data translated from the MATLAB-based GIFT package.

python-narpsopen 0.1-2.f8742ca
Propagated dependencies: python-importlib-resources@6.5.2 python-networkx@3.4.2 python-niflow-nipype1-workflows@0.0.5 python-nipype@1.10.0 python-pandas@2.3.3 python-tomli@2.2.1
Channel: guix-science
Location: guix-science/packages/neuroscience.scm (guix-science packages neuroscience)
Home page: https://github.com/Inria-Empenn/narps_open_pipelines/
Licenses: Expat
Build system: pyproject
Synopsis: Open resource for NARPS study pipeline reproduction
Description:

NARPS Open Pipelines is a project aimed at reproducing the 70 pipelines from the NARPS study (Botvinik-Nezer et al., 2020) and sharing them as an open resource for the community. It uses Nipype for workflow management and provides templates to facilitate the reproduction of neuroimaging analyses.

python-templateflow 25.1.1
Propagated dependencies: python-importlib-resources@6.5.2 python-platformdirs@4.3.6 python-pybids@0.21.0 python-requests@2.32.5 python-tqdm@4.67.1
Channel: guix-science
Location: guix-science/packages/neuroscience.scm (guix-science packages neuroscience)
Home page: https://templateflow.org/python-client
Licenses: ASL 2.0
Build system: pyproject
Synopsis: TemplateFlow Python Client for accessing neuroimaging templates
Description:

This package provides the Python Client code for accessing neuroimaging templates hosted using TemplateFlow.

niftyseg 1.0
Dependencies: eigen@3.4.0 zlib@1.3.1
Channel: guix-science
Location: guix-science/packages/neuroscience.scm (guix-science packages neuroscience)
Home page: https://github.com/KCL-BMEIS/niftySeg
Licenses: Modified BSD
Build system: cmake
Synopsis: Segmentation of medical images
Description:

This package provides programs to perform EM based segmentation of images in nifti or analyse format.

Total packages: 70622