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

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.


mvapich2 2.3.7-2
Dependencies: rdma-core@62.0
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.

ants 2.6.5
Dependencies: insight-toolkit@5.4.7 perl@5.36.0 r-minimal@4.6.1
Channel: guix-science
Location: guix-science/packages/neuroscience.scm (guix-science packages neuroscience)
Home page: https://antsx.github.io/ANTs
Licenses: ASL 2.0
Build system: cmake
Synopsis: Advanced Normalization Tools
Description:

ANTs is a C++ library available through the command line that computes high-dimensional mappings to capture the statistics of brain structure and function. It allows one to organize, visualize and statistically explore large biomedical image sets.

python-fsleyes-props 1.13.0
Propagated dependencies: python-fsleyes-widgets@0.17.0 python-fslpy@3.29.1 python-matplotlib@3.10.9 python-numpy@2.4.6 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.

fsleyes 1.20.2
Propagated dependencies: python-fsleyes-props@1.13.0 python-fsleyes-widgets@0.17.0 python-fslpy@3.29.1 python-jinja2@3.1.6 python-matplotlib@3.10.9 python-nibabel@5.3.2 python-numpy@2.4.6 python-pillow@12.2.0 python-pyopengl@3.1.10 python-pyparsing@3.2.3 python-scipy@1.17.1 python-trx@0.5.0 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-fslpy 3.29.1
Propagated dependencies: python-backports-zstd@1.2.0 python-dill@0.4.1 python-h5py@3.16.0 python-nibabel@5.3.2 python-numpy@2.4.6 python-scipy@1.17.1
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.

python-nipreps-versions 1.1.0
Propagated dependencies: python-packaging@26.2 python-setuptools-scm@8.3.1
Channel: guix-science
Location: guix-science/packages/neuroscience.scm (guix-science packages neuroscience)
Home page: https://github.com/nipreps/version-schemes
Licenses: ASL 2.0
Build system: pyproject
Synopsis: Version schemes for nipreps tools
Description:

This package provides the version schemes used for packaging software from the NiPreps organization.

python-sdcflows 2.17.0
Propagated dependencies: python-acres@0.5.0 python-attrs@26.1.0 python-migas@0.4.0 python-nibabel@5.3.2 python-nipype@1.12.0 python-nireports@26.0.0 python-nitransforms@25.1.0 python-niworkflows@1.15.1 python-numpy@2.4.6 python-pybids@0.21.0 python-scikit-image@0.26.0 python-scipy@1.17.1 python-templateflow@25.1.2 python-toml@0.10.2
Channel: guix-science
Location: guix-science/packages/neuroscience.scm (guix-science packages neuroscience)
Home page: https://www.nipreps.org/sdcflows/
Licenses: ASL 2.0
Build system: pyproject
Synopsis: Susceptibility Distortion Correction workflows for EPI MR schemes
Description:

SDCFlows (Susceptibility Distortion Correction workFlows) is a Python library of NiPype-based workflows to preprocess B0 mapping data, estimate the corresponding fieldmap and finally correct for susceptibility distortions. Susceptibility-derived distortions are typically displayed by images acquired with EPI MR schemes.

python-bsmschema 0.1.1
Propagated dependencies: python-pydantic@2.12.5
Channel: guix-science
Location: guix-science/packages/neuroscience.scm (guix-science packages neuroscience)
Home page: https://bids-standard.github.io/stats-models/
Licenses: ASL 2.0
Build system: pyproject
Synopsis: Pydantic schema for BIDS Stats Models
Description:

This package provides a Pydantic schema for BIDS Stats Models.

python-acres 0.5.0
Propagated dependencies: python-importlib-resources@6.5.2
Channel: guix-science
Location: guix-science/packages/neuroscience.scm (guix-science packages neuroscience)
Home page: https://nipreps-acres.readthedocs.io/
Licenses: ASL 2.0
Build system: pyproject
Synopsis: Resource-loading utility for Python
Description:

This module provides simple, consistent access to package resources.

python-templateflow 25.1.2
Propagated dependencies: python-acres@0.5.0 python-platformdirs@4.3.6 python-pybids@0.21.0 python-requests@2.34.2 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: Python client for accessing neuroimaging templates
Description:

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

dcm2niix 1.0.20260724
Dependencies: libjpeg-turbo@2.1.4 openjpeg@2.5.0 yaml-cpp@0.9.0 zlib@1.3.1
Channel: guix-science
Location: guix-science/packages/neuroscience.scm (guix-science packages neuroscience)
Home page: https://www.nitrc.org/plugins/mwiki/index.php/dcm2nii:MainPage
Licenses: Modified BSD
Build system: cmake
Synopsis: DICOM to NIfTI converter
Description:

dcm2niix is designed to convert neuroimaging data from the DICOM format to the NIfTI format. dcm2niix is also able to generate a BIDS JSON format sidecar which includes relevant information for brain scientists in a vendor agnostic and human readable form.

python-narpsopen 0.1-3.334d972
Propagated dependencies: python-importlib-resources@6.5.2 python-networkx@3.4.2 python-niflow-nipype1-workflows@0.0.5 python-nipype@1.12.0 python-pandas@3.0.3 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-smriprep 0.20.0
Propagated dependencies: python-acres@0.5.0 python-indexed-gzip@1.10.3 python-looseversion@1.3.0 python-matplotlib@3.10.9 python-nibabel@5.3.2 python-nipype@1.12.0 python-nireports@26.0.0 python-niworkflows@1.15.1 python-numpy@2.4.6 python-packaging@26.2 python-pybids@0.21.0 python-pyyaml@6.0.3 python-templateflow@25.1.2
Channel: guix-science
Location: guix-science/packages/neuroscience.scm (guix-science packages neuroscience)
Home page: https://nipreps.github.io/smriprep
Licenses: ASL 2.0
Build system: pyproject
Synopsis: Structural @acronym{MRI, Magnetic Resonance Imaging} preprocessing pipelines
Description:

This package provides processing pipelines for structural MRI.

dcm2bids 3.3.0
Dependencies: dcm2niix@1.0.20260724
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-mriqc-learn 0.0.3
Propagated dependencies: python-joblib@1.5.3 python-matplotlib@3.10.9 python-numpy@2.4.6 python-pandas@3.0.3 python-scikit-learn@1.9.0
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.

python-nipype 1.12.0
Propagated dependencies: python-acres@0.5.0 python-click@8.4.1 python-dateutil@2.9.0 python-etelemetry@0.3.1 python-filelock@3.16.1 python-looseversion@1.3.0 python-lxml@6.0.2 python-networkx@3.4.2 python-nibabel@5.3.2 python-numpy@2.4.6 python-packaging@26.2 python-prov@2.1.1 python-puremagic@1.28 python-pydot@4.0.1 python-rdflib@7.1.1 python-scipy@1.17.1 python-simplejson@3.20.1 python-traits@7.1.0
Channel: guix-science
Location: guix-science/packages/neuroscience.scm (guix-science packages neuroscience)
Home page: https://nipype.readthedocs.io/en/latest/index.html
Licenses: ASL 2.0
Build system: pyproject
Synopsis: Pipelines and interfaces for neuroimaging in Python
Description:

Nipype provides a uniform interface to existing neuroimaging software and facilitates interaction between these packages within a single workflow. Nipype provides an environment that encourages interactive exploration of algorithms from different packages.

python-nipy 0.6.1
Propagated dependencies: python-nibabel@5.3.2 python-numpy@2.4.6 python-scipy@1.17.1 python-sympy@1.13.3 python-transforms3d@0.4.2
Channel: guix-science
Location: guix-science/packages/neuroscience.scm (guix-science packages neuroscience)
Home page: https://nipy.org/nipy
Licenses: Modified BSD
Build system: pyproject
Synopsis: Neuroimaging analysis in Python
Description:

NIPY provides a platform-independent Python environment for the analysis of functional brain imaging data.

python-ci-info 0.4.0
Channel: guix-science
Location: guix-science/packages/neuroscience.scm (guix-science packages neuroscience)
Home page: https://github.com/mgxd/ci-info
Licenses: Expat
Build system: pyproject
Synopsis: Gather continuous integration information on the fly
Description:

It helps developers working in continuous integration (CI) environments by providing essential information about the CI server. It can determine if the code is running on a CI server,identify the specific server,and detect if a pull request is being tested.

python-nitime 0.12.1
Propagated dependencies: python-matplotlib@3.10.9 python-networkx@3.4.2 python-nibabel@5.3.2 python-numpy@2.4.6 python-scipy@1.17.1
Channel: guix-science
Location: guix-science/packages/neuroscience.scm (guix-science packages neuroscience)
Home page: https://nipy.org/nitime
Licenses: Modified BSD
Build system: pyproject
Synopsis: Timeseries analysis for neuroscience data
Description:

Nitime contains a core of numerical algorithms for time-series analysis both in the time and spectral domains, a set of container objects to represent time-series, and auxiliary objects that expose a high level interface to the numerical machinery and make common analysis tasks easy to express with compact and semantically clear code.

convert3d 1.4.6
Dependencies: insight-toolkit-legacy@5.4.7
Channel: guix-science
Location: guix-science/packages/neuroscience.scm (guix-science packages neuroscience)
Home page: https://github.com/pyushkevich/c3d
Licenses: GPL 3+
Build system: cmake
Synopsis: Convert 3D images between common file formats
Description:

Convert3d is a command-line tool for converting 3D images between common file formats. The tool also includes a growing list of commands for image manipulation, such as thresholding and resampling. The tool can also be used to obtain information about image files.

niftyreg 1.5.77
Dependencies: catch2@3.15.1 libpng@1.6.39 zlib@1.3.1
Channel: guix-science
Location: guix-science/packages/neuroscience.scm (guix-science packages neuroscience)
Home page: https://github.com/KCL-BMEIS/niftyreg
Licenses: Modified BSD
Build system: cmake
Synopsis: Rigid, affine and non-linear registration of medical images
Description:

This package provides programs to perform rigid, affine and non-linear registration of 2D and 3D images stored as NIfTI or Analyze formats.

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