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

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.


python-gcvb-mfelsoci 1.0.0-40.75594c9
Propagated dependencies: python-pyyaml@6.0.2 python-dash-bootstrap-components@1.7.1
Channel: guix-hpc
Location: guix-hpc/packages/python-gcvb.scm (guix-hpc packages python-gcvb)
Home page: https://github.com/felsocim/gcvb
Licenses: Expat
Build system: python
Synopsis: Non-regression, validation and benchmarking of simulation codes (fork)
Description:

gcvb (generate compute validate benchmark) is a Python 3 module aiming at facilitating non-regression, validation and benchmarking of simulation codes. gcvb is not a complete tool of continuous integration (CI). It is rather a component of the testing part of a CI workflow. It can compare the different metrics of your computation with references that can be a file, depends of the 'configuration' or are absolute. This is the fork of Marek Felšöci.

python-dash-core-components 2.0.0
Channel: guix-hpc
Location: guix-hpc/packages/python-gcvb.scm (guix-hpc packages python-gcvb)
Home page:
Licenses: Expat
Build system: pyproject
Synopsis: Core component suite for Dash
Description:

Core component suite for Dash.

python-gcvb-minimal-mfelsoci 1.0.0-40.75594c9
Propagated dependencies: python-pyyaml@6.0.2
Channel: guix-hpc
Location: guix-hpc/packages/python-gcvb.scm (guix-hpc packages python-gcvb)
Home page: https://github.com/felsocim/gcvb
Licenses: Expat
Build system: python
Synopsis: Non-regression, validation and benchmarking of simulation codes (fork)
Description:

gcvb (generate compute validate benchmark) is a Python 3 module aiming at facilitating non-regression, validation and benchmarking of simulation codes. gcvb is not a complete tool of continuous integration (CI). It is rather a component of the testing part of a CI workflow. It can compare the different metrics of your computation with references that can be a file, depends of the 'configuration' or are absolute. This is a minimal version without the dashboard functionality. This is the fork of Marek Felšöci.

python-dash-defer-js-import 0.0.2
Propagated dependencies: python-dash@2.18.2
Channel: guix-hpc
Location: guix-hpc/packages/python-gcvb.scm (guix-hpc packages python-gcvb)
Home page:
Licenses: Expat
Build system: pyproject
Synopsis: Deferring loading of JS files until after React loads
Description:

Deferring loading of JS files until after React loads.

python-dash-dangerously-set-inner-html 0.0.2
Channel: guix-hpc
Location: guix-hpc/packages/python-gcvb.scm (guix-hpc packages python-gcvb)
Home page:
Licenses: Expat
Build system: pyproject
Synopsis: A dash component for specifying raw HTML
Description:

This package provides a dash component for specifying raw HTML.

python-percy 2.0.2
Propagated dependencies: python-requests@2.32.5
Channel: guix-hpc
Location: guix-hpc/packages/python-gcvb.scm (guix-hpc packages python-gcvb)
Home page: https://github.com/percy/python-percy-client
Licenses: Expat
Build system: pyproject
Synopsis: Python client library for visual regression testing with Percy.
Description:

Python client library for visual regression testing with Percy (https://percy.io).

python-dash-table 5.0.0
Channel: guix-hpc
Location: guix-hpc/packages/python-gcvb.scm (guix-hpc packages python-gcvb)
Home page:
Licenses: Expat
Build system: pyproject
Synopsis: Dash table
Description:

Dash table.

python-dash-bootstrap-components 1.7.1
Propagated dependencies: python-dash@2.18.2
Channel: guix-hpc
Location: guix-hpc/packages/python-gcvb.scm (guix-hpc packages python-gcvb)
Home page:
Licenses:
Build system: pyproject
Synopsis: Bootstrap themed components for use in Plotly Dash
Description:

Bootstrap themed components for use in Plotly Dash.

python-pyevtk 1.6.0
Propagated dependencies: python-numpy@1.26.4
Channel: guix-hpc
Location: guix-hpc/packages/python-science.scm (guix-hpc packages python-science)
Home page: https://github.com/pyscience-projects/pyevtk
Licenses: FreeBSD
Build system: pyproject
Synopsis: Export data as binary VTK files
Description:

Export data as binary VTK files

python-torch-diffeq 0.2.2
Dependencies: python-pytorch@2.9.0 python-pillow@6.1.0 python-scipy@1.12.0
Channel: guix-hpc
Location: guix-hpc/packages/python-science.scm (guix-hpc packages python-science)
Home page: https://github.com/rtqichen/torchdiffeq
Licenses: Expat
Build system: python
Synopsis: Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
Description:

This library provides ordinary differential equation (ODE) solvers implemented in PyTorch. Backpropagation through ODE solutions is supported using the adjoint method for constant memory cost. For usage of ODE solvers in deep learning applications.

As the solvers are implemented in PyTorch, algorithms in this repository are fully supported to run on the GPU.

python-torch-vision 0.2.2
Dependencies: python-pytorch@2.9.0 python-pillow@6.1.0 python-scipy@1.12.0
Channel: guix-hpc
Location: guix-hpc/packages/python-science.scm (guix-hpc packages python-science)
Home page: https://github.com/pytorch/vision
Licenses: Modified BSD
Build system: python
Synopsis: image and video datasets and models for torch deep learning
Description:

image and video datasets and models for torch deep learning

python-pillow 6.1.0
Dependencies: freetype@2.13.3 lcms@2.13.1 libjpeg-turbo@2.1.4 libtiff@4.4.0 libwebp@1.3.2 openjpeg@2.5.0 zlib@1.3.1
Channel: guix-hpc
Location: guix-hpc/packages/python-science.scm (guix-hpc packages python-science)
Home page: https://python-pillow.org
Licenses: X11-style
Build system: pyproject
Synopsis: Fork of the Python Imaging Library
Description:

The Python Imaging Library adds image processing capabilities to your Python interpreter. This library provides extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities. The core image library is designed for fast access to data stored in a few basic pixel formats. It should provide a solid foundation for a general image processing tool.

python-ttpy 1.2.0-0.22dff3d
Dependencies: gmp@6.3.0 mpfr@4.2.2 openblas@0.3.30
Propagated dependencies: python-numpy@1.26.4 python-scipy@1.12.0 python-six@1.17.0
Channel: guix-hpc
Location: guix-hpc/packages/python-science.scm (guix-hpc packages python-science)
Home page: https://github.com/oseledets/ttpy
Licenses: Expat
Build system: python
Synopsis: Python implementation of the Tensor Train (TT) toolbox
Description:

Python implementation of the Tensor Train (TT) toolbox. It contains several important packages for working with the TT-format in Python. It is able to do TT-interpolation, solve linear systems, eigenproblems, solve dynamical problems. Several computational routines are done in Fortran (which can be used separately), and are wrapped with the f2py tool.

python-easydict 1.9
Channel: guix-hpc
Location: guix-hpc/packages/python-science.scm (guix-hpc packages python-science)
Home page: https://github.com/makinacorpus/easydict
Licenses:
Build system: python
Synopsis: Access dict values as attributes (works recursively).
Description:

Access dict values as attributes (works recursively).

python-latexify-py 0.0.7
Propagated dependencies: python-dill@0.4.0
Channel: guix-hpc
Location: guix-hpc/packages/python-science.scm (guix-hpc packages python-science)
Home page: https://github.com/google/latexify_py
Licenses:
Build system: python
Synopsis: Generates LaTeX source from Python functions.
Description:

Generates LaTeX source from Python functions.

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.

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.

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.

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.

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.

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.

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.

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.

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Total results: 69112