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

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.


parsec-mpi 0.0-0.6022a61
Dependencies: hwloc@2.12.2 bison@3.8.2 flex@2.6.4
Propagated dependencies: openmpi@4.1.6
Channel: guix-hpc
Location: guix-hpc/packages/solverstack.scm (guix-hpc packages solverstack)
Home page: https://bitbucket.org/mfaverge/parsec.git
Licenses: FreeBSD
Build system: cmake
Synopsis: Runtime system based on dynamic task generation mechanism
Description:

PaRSEC is a generic framework for architecture aware scheduling and management of micro-tasks on distributed many-core heterogeneous architectures.

jube-with-yaml 2.6.2
Propagated dependencies: python-pyyaml@6.0.2
Channel: guix-hpc
Location: guix-hpc/packages/solverstack.scm (guix-hpc packages solverstack)
Home page: https://apps.fz-juelich.de/jsc/jube/jube2/docu/index.html
Licenses: GPL 3+
Build system: python
Synopsis: Benchmarking environment
Description:

JUBE helps perform and analyze benchmarks in a systematic way. For each benchmarked application, benchmark data is stored in a format that allows JUBE to deduct the desired information. This data can be parsed by automatic pre- and post-processing scripts that draw information and store it more densely for manual interpretation.

pastix-nopython-notest 6.4.0
Dependencies: gfortran@14.3.0 hwloc@2.12.2 starpu@1.4.12 scotch@7.0.7 openblas@0.3.30 openmpi@4.1.6 python@3.11.14 python-numpy@1.26.4
Channel: guix-hpc
Location: guix-hpc/packages/solverstack.scm (guix-hpc packages solverstack)
Home page: https://gitlab.inria.fr/solverstack/pastix
Licenses: CeCILL
Build system: cmake
Synopsis: Sparse matrix direct solver
Description:

PaStiX (Parallel Sparse matriX package) is a scientific library that provides a high performance parallel solver for very large sparse linear systems based on direct methods. Numerical algorithms are implemented in single or double precision (real or complex) using LLt, LDLt and LU with static pivoting (for non symmetric matrices having a symmetric pattern). This solver also provides some low-rank compression methods to reduce the memory footprint and/or the time-to-solution.

chameleon-hip 1.4.0
Channel: guix-hpc
Location: guix-hpc/packages/solverstack.scm (guix-hpc packages solverstack)
Home page: https://gitlab.inria.fr/solverstack/chameleon
Licenses: CeCILL-C
Build system: cmake
Synopsis: Dense linear algebra solver
Description:

Chameleon is a dense linear algebra solver relying on sequential task-based algorithms where sub-tasks of the overall algorithms are submitted to a run-time system. Such a system is a layer between the application and the hardware which handles the scheduling and the effective execution of tasks on the processing units. A run-time system such as StarPU is able to manage automatically data transfers between not shared memory area (CPUs-GPUs, distributed nodes).

starpu-example-dgemm 0.1.0
Dependencies: openblas@0.3.30 starpu@1.4.12 openmpi@4.1.6
Channel: guix-hpc
Location: guix-hpc/packages/solverstack.scm (guix-hpc packages solverstack)
Home page: https://gitlab.inria.fr/solverstack/mini-examples/starpu_example_dgemm/
Licenses: CeCILL-C
Build system: cmake
Synopsis: StarPU example of a distributed gemm
Description:

Example showing how to use starpu for implementing a distributed gemm.

pastix 6.2.2
Dependencies: gfortran@14.3.0 hwloc@2.12.2 starpu@1.4.12 scotch@7.0.7 openblas@0.3.30 openmpi@4.1.6 python@3.11.14 python-numpy@1.26.4
Channel: guix-hpc
Location: guix-hpc/packages/solverstack.scm (guix-hpc packages solverstack)
Home page: https://gitlab.inria.fr/solverstack/pastix
Licenses: CeCILL
Build system: cmake
Synopsis: Sparse matrix direct solver
Description:

PaStiX (Parallel Sparse matriX package) is a scientific library that provides a high performance parallel solver for very large sparse linear systems based on direct methods. Numerical algorithms are implemented in single or double precision (real or complex) using LLt, LDLt and LU with static pivoting (for non symmetric matrices having a symmetric pattern). This solver also provides some low-rank compression methods to reduce the memory footprint and/or the time-to-solution.

python-genfem 1.2
Propagated dependencies: python@3.11.14 python-ddmpy@0.1 python-mpi4py@4.1.0 python-numpy@1.26.4 python-scipy@1.12.0 python-sympy@1.13.3 openmpi@4.1.6
Channel: guix-hpc
Location: guix-hpc/packages/solverstack.scm (guix-hpc packages solverstack)
Home page: https://gitlab.inria.fr/solverstack/genfem.git
Licenses: CeCILL-C
Build system: pyproject
Synopsis: A simple FEM matrix generator in python
Description:

Assembles fem matrices using an efficient vectorization method.

chameleon-nompi 1.4.0
Dependencies: openblas@0.3.30 starpu@1.4.12
Channel: guix-hpc
Location: guix-hpc/packages/solverstack.scm (guix-hpc packages solverstack)
Home page: https://gitlab.inria.fr/solverstack/chameleon
Licenses: CeCILL-C
Build system: cmake
Synopsis: Dense linear algebra solver
Description:

Chameleon is a dense linear algebra solver relying on sequential task-based algorithms where sub-tasks of the overall algorithms are submitted to a run-time system. Such a system is a layer between the application and the hardware which handles the scheduling and the effective execution of tasks on the processing units. A run-time system such as StarPU is able to manage automatically data transfers between not shared memory area (CPUs-GPUs, distributed nodes).

pmtool 1.0.0
Dependencies: recutils@1.9
Channel: guix-hpc
Location: guix-hpc/packages/solverstack.scm (guix-hpc packages solverstack)
Home page: https://gitlab.inria.fr/eyrauddu/pmtool
Licenses: GPL 3+
Build system: cmake
Synopsis: pmtool: Post-Mortem Tool
Description:

pmtool aims at performing post-mortem analyses of the behavior of StarPU applications. Provide lower bounds on makespan. Study the performance of different schedulers in a simple context. Limitations: ignore communications for the moment; branch comms attempts to remove this limitation.

chameleon-quark 1.4.0
Dependencies: quark-ecrc@0.0-0.db4aef9 openblas@0.3.30 openmpi@4.1.6
Channel: guix-hpc
Location: guix-hpc/packages/solverstack.scm (guix-hpc packages solverstack)
Home page: https://gitlab.inria.fr/solverstack/chameleon
Licenses: CeCILL-C
Build system: cmake
Synopsis: Dense linear algebra solver
Description:

Chameleon is a dense linear algebra solver relying on sequential task-based algorithms where sub-tasks of the overall algorithms are submitted to a run-time system. Such a system is a layer between the application and the hardware which handles the scheduling and the effective execution of tasks on the processing units. A run-time system such as StarPU is able to manage automatically data transfers between not shared memory area (CPUs-GPUs, distributed nodes).

gfortran 14.3.0
Dependencies: isl@0.24 libstdc++-headers@14.3.0 gmp@6.3.0 mpfr@4.2.2 mpc@1.3.1 elfutils@0.192 zlib@1.3.1
Channel: guix-hpc
Location: guix-hpc/packages/toolchains.scm (guix-hpc packages toolchains)
Home page: https://gcc.gnu.org/
Licenses: GPL 3+
Build system: gnu
Synopsis: GNU Compiler Collection
Description:

GCC is the GNU Compiler Collection. It provides compiler front-ends for several languages, including C, C++, Objective-C, Fortran, Ada, and Go. It also includes runtime support libraries for these languages.

gfortran-toolchain 14.3.0
Dependencies: gfortran@14.3.0 ld-wrapper@0 binutils@2.44 gfortran@14.3.0 glibc@2.41 glibc@2.41 glibc@2.41
Channel: guix-hpc
Location: guix-hpc/packages/toolchains.scm (guix-hpc packages toolchains)
Home page: https://gcc.gnu.org/
Licenses: GPL 3+
Build system: trivial
Synopsis: Complete GCC tool chain for Fortran development
Description:

This package provides a complete GCC tool chain for Fortran development to be installed in user profiles. This includes gfortran, as well as libc (headers and binaries, plus debugging symbols in the debug output), and binutils.

gfortran-toolchain 13.3.0
Dependencies: gfortran@13.3.0 ld-wrapper@0 binutils@2.44 gfortran@13.3.0 glibc@2.41 glibc@2.41 glibc@2.41
Channel: guix-hpc
Location: guix-hpc/packages/toolchains.scm (guix-hpc packages toolchains)
Home page: https://gcc.gnu.org/
Licenses: GPL 3+
Build system: trivial
Synopsis: Complete GCC tool chain for Fortran development
Description:

This package provides a complete GCC tool chain for Fortran development to be installed in user profiles. This includes gfortran, as well as libc (headers and binaries, plus debugging symbols in the debug output), and binutils.

sz3-compressor 3.3.0
Propagated dependencies: zstd@1.5.6
Channel: guix-hpc
Location: guix-hpc/packages/utils.scm (guix-hpc packages utils)
Home page: https://github.com/szcompressor/SZ3
Licenses: GPL 3+
Build system: cmake
Synopsis: GUIX package for the SZ3 compressor.
Description:

GUIX package for the SZ3 compressor.

sz-compressor 2.1.12
Channel: guix-hpc
Location: guix-hpc/packages/utils.scm (guix-hpc packages utils)
Home page: https://github.com/szcompressor/sz2
Licenses: GPL 3+
Build system: cmake
Synopsis: GUIX package for the SZ compressor.
Description:

GUIX package for the SZ compressor.

zfp 1.0.1
Channel: guix-hpc
Location: guix-hpc/packages/utils.scm (guix-hpc packages utils)
Home page: https://zfp.io/
Licenses: Modified BSD
Build system: cmake
Synopsis: A compressed format for multi-dimensional arrays
Description:

zfp is a compressed number format for multi-dimensional arrays. zfp provides compressed-array classes (e.g., for in-memory storage) and high-speed, parallel data compression (e.g., for offline storage). zfp supports both lossy and lossless compression and fine-grained user control over accuracy and storage size.

python-expecttest 0.1.3
Channel: guix-hpc
Location: guix-hpc/packages/utils.scm (guix-hpc packages utils)
Home page: https://github.com/ezyang/ghstack
Licenses: Expat
Build system: python
Synopsis: This library implements expect tests (also known as 'golden' tests).
Description:

Expect tests are a method of writing tests where instead of hard-coding the expected output of a test, you run the test to get the output, and the test framework automatically populates the expected output.

fti 1.6
Dependencies: openmpi@4.1.6 openssl@3.0.8 zlib@1.3.1
Channel: guix-hpc
Location: guix-hpc/packages/utils.scm (guix-hpc packages utils)
Home page: https://github.com/leobago/fti
Licenses: Modified BSD
Build system: cmake
Synopsis: Fault Tolerance Interface
Description:

FTI stands for Fault Tolerance Interface and is a library that aims to give computational scientists the means to perform fast and efficient multilevel checkpointing in large scale supercomputers.

disseq 0.0-1.350e58d
Dependencies: openmpi@4.1.6 hdf5-parallel-openmpi@1.14.6
Channel: guix-hpc
Location: inria/bioversiton.scm (inria bioversiton)
Home page: https://gitlab.inria.fr/biodiversiton/disseq
Licenses: GPL 3+
Build system: cmake
Synopsis: Compute pairwise distances between reads as edit distances
Description:

This package has been developed for computing exact distances, without heuristics, between all pairs of reads of a NGS sample. This is a first step for supervised or unsupervised clustering of reads in an environmental sample.

emacs-elementaryx-org-minimal 2.1.2
Propagated dependencies: emacs-org@9.7.39 graphviz@7.0.1
Channel: guix-hpc
Location: inria/concace.scm (inria concace)
Home page: https://gitlab.inria.fr/elementaryx/emacs-elementaryx-org-minimal
Licenses: CeCILL-C
Build system: emacs
Synopsis: ElementaryX: Elementary Emacs configuration coupled with Guix. Minimal org-mode setup.
Description:

ElementaryX: Elementary Emacs configuration coupled with Guix. Minimal org-mode setup.

elementaryx-escode 2.2.0
Propagated dependencies: emacs-centaur-tabs@3.2 emacs-dashboard@1.8.0 emacs-elementaryx-full@2.3.0 emacs-highlight-indentation@0.7.0-1.d03803f emacs-hydra@0.15.0 emacs-minimap@1.4 emacs-vscode-dark-plus@2.0.0 fontconfig-minimal@2.14.0 font-google-noto@2025.07.01
Channel: guix-hpc
Location: inria/concace.scm (inria concace)
Home page: https://gitlab.inria.fr/elementaryx/emacs-elementaryx-escode
Licenses: CeCILL-C
Build system: emacs
Synopsis: ElementaryX: Elementary Emacs configuration coupled with Guix. Setup for ESCode, the Elementaryx fake true Studio Code.
Description:

ElementaryX: Elementary Emacs configuration coupled with Guix. Setup for ESCode, the Elementaryx fake true Studio Code.

elementaryx 2.2.0
Propagated dependencies: elementaryx-vym@2.0.0 elementaryx-escode@2.2.0 emacs-elementaryx@2.3.0
Channel: guix-hpc
Location: inria/concace.scm (inria concace)
Home page: https://gitlab.inria.fr/elementaryx/
Licenses:
Build system: trivial
Synopsis: ElementaryX Suite: Elementary Emacs configuration coupled with Guix. Setup for the suite composed of Emacs, Vym, ESCode versions.
Description:

ElementaryX suite: Elementary Emacs configuration coupled with Guix. Setup for the suite composed of Emacs, Vym, ESCode versions. This is a meta-package.

laplacian-example 1.0.0
Dependencies: openmpi@4.1.6 openssh@10.2p1 openblas@0.3.30
Channel: guix-hpc
Location: inria/concace.scm (inria concace)
Home page: https://gitlab.inria.fr/agullo/laplacian-example
Licenses: CeCILL-C
Build system: cmake
Synopsis: Example of solving a Laplacian problem in Fortran
Description:

LAPLACIAN is an example of a Laplacian problem. The code is written in Fortran 90.

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