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

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.


gloo-cuda11 0.0.0-20230315.a01540e
Dependencies: cuda-toolkit@11.8.0 openssl@3.0.8
Channel: guix-science-nonfree
Location: guix-science-nonfree/packages/machine-learning.scm (guix-science-nonfree packages machine-learning)
Home page: https://github.com/facebookincubator/gloo
Licenses: Modified BSD
Build system: cmake
Synopsis: Collective communications library
Description:

Gloo is a collective communications library. It comes with a number of collective algorithms useful for machine learning applications. These include a barrier, broadcast, and allreduce.

tensorpipe-with-cuda11 0-0.bb1473a
Dependencies: libuv@1.44.2 cuda-toolkit@11.8.0
Channel: guix-science-nonfree
Location: guix-science-nonfree/packages/machine-learning.scm (guix-science-nonfree packages machine-learning)
Home page: https://github.com/pytorch/tensorpipe
Licenses: Modified BSD
Build system: cmake
Synopsis: Tensor-aware point-to-point communication primitive for machine learning
Description:

TensorPipe provides a tensor-aware channel to transfer rich objects from one process to another while using the fastest transport for the tensors contained therein.

mumps-mkl-metis 5.8.0
Dependencies: intel-oneapi-mkl@2023.2.0 gfortran@14.3.0 metis@5.1.0
Channel: guix-science-nonfree
Location: guix-science-nonfree/packages/maths.scm (guix-science-nonfree packages maths)
Home page: https://mumps-solver.org
Licenses: CeCILL-C
Build system: gnu
Synopsis: Multifrontal sparse direct solver (with Intel® MKL)
Description:

MUMPS (MUltifrontal Massively Parallel sparse direct Solver) solves a sparse system of linear equations A x = b using Gaussian elimination.

mumps-mkl-metis-openmpi 5.8.0
Dependencies: openmpi@4.1.6 intel-oneapi-mkl@2023.2.0 gfortran@14.3.0 metis@5.1.0
Channel: guix-science-nonfree
Location: guix-science-nonfree/packages/maths.scm (guix-science-nonfree packages maths)
Home page: https://mumps-solver.org
Licenses: CeCILL-C
Build system: gnu
Synopsis: Multifrontal sparse direct solver (with MPI and Intel® MKL)
Description:

MUMPS (MUltifrontal Massively Parallel sparse direct Solver) solves a sparse system of linear equations A x = b using Gaussian elimination.

mumps-mkl-scotch32-openmpi 5.8.0
Dependencies: scotch32@7.0.7 openmpi@4.1.6 intel-oneapi-mkl@2023.2.0 gfortran@14.3.0 metis@5.1.0
Channel: guix-science-nonfree
Location: guix-science-nonfree/packages/maths.scm (guix-science-nonfree packages maths)
Home page: https://mumps-solver.org
Licenses: CeCILL-C
Build system: gnu
Synopsis: Multifrontal sparse direct solver (with MPI and Intel® MKL)
Description:

MUMPS (MUltifrontal Massively Parallel sparse direct Solver) solves a sparse system of linear equations A x = b using Gaussian elimination.

mumps-mkl-openmpi 5.8.0
Dependencies: openmpi@4.1.6 pt-scotch@7.0.7 intel-oneapi-mkl@2023.2.0 gfortran@14.3.0 metis@5.1.0
Channel: guix-science-nonfree
Location: guix-science-nonfree/packages/maths.scm (guix-science-nonfree packages maths)
Home page: https://mumps-solver.org
Licenses: CeCILL-C
Build system: gnu
Synopsis: Multifrontal sparse direct solver (with MPI and Intel® MKL)
Description:

MUMPS (MUltifrontal Massively Parallel sparse direct Solver) solves a sparse system of linear equations A x = b using Gaussian elimination.

suitesparse-mkl 5.13.0
Dependencies: intel-oneapi-mkl@2023.2.0 libomp@13.0.1 tbb@2021.6.0 gmp@6.3.0 mpfr@4.2.2 metis@5.1.0
Channel: guix-science-nonfree
Location: guix-science-nonfree/packages/maths.scm (guix-science-nonfree packages maths)
Home page: https://faculty.cse.tamu.edu/davis/suitesparse.html
Licenses: GPL 2+ LGPL 2.1+
Build system: gnu
Synopsis: Suite of sparse matrix software (with MKL instead of OpenBLAS)
Description:

SuiteSparse is a suite of sparse matrix algorithms, including: UMFPACK, multifrontal LU factorization; CHOLMOD, supernodal Cholesky; SPQR, multifrontal QR; KLU and BTF, sparse LU factorization, well-suited for circuit simulation; ordering methods (AMD, CAMD, COLAMD, and CCOLAMD); CSparse and CXSparse, a concise sparse Cholesky factorization package; and many other packages.

This package contains all of the above-mentioned parts.

mumps-mkl 5.8.0
Dependencies: intel-oneapi-mkl@2023.2.0 gfortran@14.3.0 metis@5.1.0 scotch@7.0.7
Channel: guix-science-nonfree
Location: guix-science-nonfree/packages/maths.scm (guix-science-nonfree packages maths)
Home page: https://mumps-solver.org
Licenses: CeCILL-C
Build system: gnu
Synopsis: Multifrontal sparse direct solver (with Intel® MKL)
Description:

MUMPS (MUltifrontal Massively Parallel sparse direct Solver) solves a sparse system of linear equations A x = b using Gaussian elimination.

petsc-openmpi-mkl 3.24.0
Dependencies: intel-oneapi-mkl@2023.2.0 hdf5-parallel-openmpi@1.14.6 hypre-openmpi@2.32.0 metis@5.1.0 mumps-openmpi@5.8.0 openmpi@4.1.6 scalapack@2.2.2 pt-scotch32@7.0.7 pt-scotch32@7.0.7 gfortran@14.3.0 openblas@0.3.30 superlu@5.3.0
Channel: guix-science-nonfree
Location: guix-science-nonfree/packages/maths.scm (guix-science-nonfree packages maths)
Home page: https://petsc.org
Licenses: non-copyleft
Build system: gnu
Synopsis: Library to solve PDEs (with MUMPS, MPI and MKL support)
Description:

PETSc, pronounced PET-see (the S is silent), is a suite of data structures and routines for the scalable (parallel) solution of scientific applications modeled by partial differential equations.

intel-oneapi-mkl-common-devel 2023.2.0
Dependencies: gcc@14.3.0
Channel: guix-science-nonfree
Location: guix-science-nonfree/packages/mkl.scm (guix-science-nonfree packages mkl)
Home page: https://software.intel.com/en-us/mkl
Licenses: Nonfree
Build system: gnu
Synopsis: Non-free library of optimized math routines
Description:

Intel® Math Kernel Library (MKL) is a proprietary library of highly optimized, extensively threaded routines for applications that require maximum performance. The library provides Fortran and C programming language interfaces. Intel MKL C language interfaces can be called from applications written in either C or C++, as well as in any other language that can reference a C interface.

intel-oneapi-mkl 2023.2.0
Dependencies: intel-oneapi-mkl-common-devel@2023.2.0 intel-oneapi-mkl-main@2023.2.0 intel-oneapi-mkl-devel@2023.2.0
Channel: guix-science-nonfree
Location: guix-science-nonfree/packages/mkl.scm (guix-science-nonfree packages mkl)
Home page: https://software.intel.com/en-us/mkl
Licenses: Nonfree
Build system: trivial
Synopsis: Non-free library of optimized math routines (Union of oneAPI MKL packages)
Description:

Intel® Math Kernel Library (MKL) is a proprietary library of highly optimized, extensively threaded routines for applications that require maximum performance. The library provides Fortran and C programming language interfaces. Intel MKL C language interfaces can be called from applications written in either C or C++, as well as in any other language that can reference a C interface.

mkl 2020.4.304
Dependencies: gcc@14.3.0
Channel: guix-science-nonfree
Location: guix-science-nonfree/packages/mkl.scm (guix-science-nonfree packages mkl)
Home page: https://software.intel.com/en-us/mkl
Licenses: Nonfree
Build system: gnu
Synopsis: Non-free library of optimized math routines
Description:

Intel® Math Kernel Library (MKL) is a proprietary library of highly optimized, extensively threaded routines for applications that require maximum performance. The library provides Fortran and C programming language interfaces. Intel MKL C language interfaces can be called from applications written in either C or C++, as well as in any other language that can reference a C interface.

intel-oneapi-mkl-devel 2023.2.0
Dependencies: gcc@14.3.0
Channel: guix-science-nonfree
Location: guix-science-nonfree/packages/mkl.scm (guix-science-nonfree packages mkl)
Home page: https://software.intel.com/en-us/mkl
Licenses: Nonfree
Build system: gnu
Synopsis: Non-free library of optimized math routines
Description:

Intel® Math Kernel Library (MKL) is a proprietary library of highly optimized, extensively threaded routines for applications that require maximum performance. The library provides Fortran and C programming language interfaces. Intel MKL C language interfaces can be called from applications written in either C or C++, as well as in any other language that can reference a C interface.

mkl 2019.1.144
Dependencies: gcc@14.3.0
Channel: guix-science-nonfree
Location: guix-science-nonfree/packages/mkl.scm (guix-science-nonfree packages mkl)
Home page: https://software.intel.com/en-us/mkl
Licenses: Nonfree
Build system: gnu
Synopsis: Non-free library of optimized math routines
Description:

Intel® Math Kernel Library (MKL) is a proprietary library of highly optimized, extensively threaded routines for applications that require maximum performance. The library provides Fortran and C programming language interfaces. Intel MKL C language interfaces can be called from applications written in either C or C++, as well as in any other language that can reference a C interface.

mkl 2023.2.0
Dependencies: intel-oneapi-mkl-common-devel@2023.2.0 intel-oneapi-mkl-main@2023.2.0 intel-oneapi-mkl-devel@2023.2.0
Channel: guix-science-nonfree
Location: guix-science-nonfree/packages/mkl.scm (guix-science-nonfree packages mkl)
Home page: https://software.intel.com/en-us/mkl
Licenses: Nonfree
Build system: trivial
Synopsis: Non-free library of optimized math routines (Union of oneAPI MKL packages)
Description:

Intel® Math Kernel Library (MKL) is a proprietary library of highly optimized, extensively threaded routines for applications that require maximum performance. The library provides Fortran and C programming language interfaces. Intel MKL C language interfaces can be called from applications written in either C or C++, as well as in any other language that can reference a C interface.

intel-oneapi-mkl-main 2023.2.0
Dependencies: gcc@14.3.0
Channel: guix-science-nonfree
Location: guix-science-nonfree/packages/mkl.scm (guix-science-nonfree packages mkl)
Home page: https://software.intel.com/en-us/mkl
Licenses: Nonfree
Build system: gnu
Synopsis: Non-free library of optimized math routines
Description:

Intel® Math Kernel Library (MKL) is a proprietary library of highly optimized, extensively threaded routines for applications that require maximum performance. The library provides Fortran and C programming language interfaces. Intel MKL C language interfaces can be called from applications written in either C or C++, as well as in any other language that can reference a C interface.

openmpi-cuda 4.1.6
Dependencies: hwloc@2.12.2 gfortran@14.3.0 libfabric-cuda@2.3.1 libevent@2.1.12 opensm@3.3.24 openssh-sans-x@10.2p1 psm@3.3.20170428 psm2-cuda@12.0 ucx-cuda@1.19.0 valgrind@3.25.1 rdma-core@60.0 slurm@23.11.10 cuda-toolkit@12.9.1
Channel: guix-science-nonfree
Location: guix-science-nonfree/packages/mpi.scm (guix-science-nonfree packages mpi)
Home page: https://www.open-mpi.org
Licenses: FreeBSD
Build system: gnu
Synopsis: MPI-3 implementation, with CUDA support
Description:

The Open MPI Project is an MPI-3 implementation that is developed and maintained by a consortium of academic, research, and industry partners. Open MPI is therefore able to combine the expertise, technologies, and resources from all across the High Performance Computing community in order to build the best MPI library available. Open MPI offers advantages for system and software vendors, application developers and computer science researchers.

hwloc-cuda 2.12.2
Dependencies: libx11@1.8.12 cairo@1.18.4 ncurses@6.2.20210619 expat@2.7.1 cuda-toolkit@12.9.1
Propagated dependencies: libpciaccess@0.18.1
Channel: guix-science-nonfree
Location: guix-science-nonfree/packages/mpi.scm (guix-science-nonfree packages mpi)
Home page: https://www.open-mpi.org/projects/hwloc/
Licenses: Modified BSD
Build system: gnu
Synopsis: Abstraction of hardware architectures with CUDA support
Description:

hwloc provides a portable abstraction (across OS, versions, architectures, ...) of the hierarchical topology of modern architectures, including NUMA memory nodes, sockets, shared caches, cores and simultaneous multithreading. It also gathers various attributes such as cache and memory information. It primarily aims at helping high-performance computing applications with gathering information about the hardware so as to exploit it accordingly and efficiently.

hwloc may display the topology in multiple convenient formats. It also offers a powerful programming interface to gather information about the hardware, bind processes, and much more.

umpire-cuda 2025.12.0
Dependencies: camp-cuda@2025.12.0 openmpi-cuda@4.1.6
Channel: guix-science-nonfree
Location: guix-science-nonfree/packages/mpi.scm (guix-science-nonfree 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 (CUDA version)
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.

freesurfer 8.1.0
Dependencies: bash-minimal@5.2.37 coreutils-minimal@9.1 expat@2.7.1 insight-toolkit@5.4.4 libx11@1.8.12 libxcrypt@4.4.38 libxmu@1.2.1 libxt@1.3.1 openssl@3.0.8 perl@5.36.0 tcsh@6.24.15 zlib@1.3.1
Channel: guix-science-nonfree
Location: guix-science-nonfree/packages/neuroscience.scm (guix-science-nonfree packages neuroscience)
Home page: https://freesurfer.net/
Licenses: Nonfree
Build system: cmake
Synopsis: Brain imaging software
Description:

FreeSurfer is a software package for the analysis and visualization of neuroimaging data from cross-sectional and longitudinal studies.

FreeSurfer provides full processing streams for structural and functional MRI and includes tools for linear and nonlinear registration, cortical and subcortical segmentation, cortical surface reconstruction, statistical analysis of group morphometry, diffusion MRI, PET analysis, and much more.

opencarp 17.0
Dependencies: fftw@3.3.10 petsc-openmpi@3.24.0 perl@5.36.0 python@3.11.14 sundials@7.1.1 zlib@1.3.1 openmpi@4.1.6
Channel: guix-science-nonfree
Location: guix-science-nonfree/packages/opencarp.scm (guix-science-nonfree packages opencarp)
Home page: https://git.opencarp.org/openCARP/openCARP
Licenses: Nonfree
Build system: cmake
Synopsis: Open Cardiac Electrophysiology Simulator
Description:

openCARP is an open cardiac electrophysiology simulator for in-silico experiments.openCARP offers single cell as well as multiscale simulations from ion channel to organ level. Additionally, openCARP includes a wide variety of functions for pre- and post-processing of data as well as visualization.

slurm-with-cuda 23.11.10
Dependencies: cuda-toolkit@12.9.1 dbus@1.15.8 freeipmi@1.6.16 http-parser@2.9.4-1.ec8b5ee libjwt@1.17.2 librdkafka@1.4.2 libyaml@0.2.5 mariadb@10.11.14 freeipmi@1.6.16 hwloc@2.12.2 json-c@0.18 linux-pam@1.5.2 openpmix@4.2.8 munge@0.5.14 numactl@2.0.16 readline@8.2.13
Channel: guix-science-nonfree
Location: guix-science-nonfree/packages/parallel.scm (guix-science-nonfree packages parallel)
Home page: https://slurm.schedmd.com/
Licenses: FreeBSD Expat ISC LGPL 2.1+ Zlib non-copyleft GPL 2+
Build system: gnu
Synopsis: Workload manager for cluster computing
Description:

SLURM is a fault-tolerant and highly scalable cluster management and job scheduling system for large and small clusters. It allocates access to resources (computer nodes) to users for some duration of time, provides a framework for starting, executing, and monitoring work (typically a parallel job) on a set of allocated nodes, and arbitrates contention for resources by managing a queue of pending work.

gyselalibxx-cuda-V100 0.4.1
Dependencies: ddc-cuda@0.10.0 eigen@3.4.0 fftw@3.3.10 fftwf@3.3.10 ginkgo-hpc-cuda@1.11.0 hdf5@1.14.6 kokkos-cuda@4.6.02 kokkos-fft-cuda@0.3.0 kokkos-kernels@4.6.02 libyaml@0.2.5 mdspan@0.6.0 openmpi@4.1.6 openblas@0.3.30 paraconf@1.0.0
Propagated dependencies: pdi@1.9.2 pdiplugin-decl-hdf5-parallel@1.9.2 pdiplugin-set-value@1.9.2 pdiplugin-mpi@1.9.2
Channel: guix-science-nonfree
Location: guix-science-nonfree/packages/physics.scm (guix-science-nonfree packages physics)
Home page: https://gyselax.github.io/
Licenses: FreeBSD
Build system: cmake
Synopsis: Collection of C++ components for writing gyrokinetic semi-lagrangian codes (CUDA version) (V100 version)
Description:

Gyselalib++ is a collection of C++ components for writing gyrokinetic semi-lagrangian codes and similar as well as a collection of such codes.

gyselalibxx-cuda-A100 0.4.1
Dependencies: ddc-cuda@0.10.0 eigen@3.4.0 fftw@3.3.10 fftwf@3.3.10 ginkgo-hpc-cuda@1.11.0 hdf5@1.14.6 kokkos-cuda@4.6.02 kokkos-fft-cuda@0.3.0 kokkos-kernels@4.6.02 libyaml@0.2.5 mdspan@0.6.0 openmpi@4.1.6 openblas@0.3.30 paraconf@1.0.0
Propagated dependencies: pdi@1.9.2 pdiplugin-decl-hdf5-parallel@1.9.2 pdiplugin-set-value@1.9.2 pdiplugin-mpi@1.9.2
Channel: guix-science-nonfree
Location: guix-science-nonfree/packages/physics.scm (guix-science-nonfree packages physics)
Home page: https://gyselax.github.io/
Licenses: FreeBSD
Build system: cmake
Synopsis: Collection of C++ components for writing gyrokinetic semi-lagrangian codes (CUDA version) (A100 version)
Description:

Gyselalib++ is a collection of C++ components for writing gyrokinetic semi-lagrangian codes and similar as well as a collection of such codes.

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