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

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-pykeops 2.3
Propagated dependencies: pybind11@2.13.6 python-keopscore@2.3 python-numpy@1.26.4 python-pytorch@2.9.0
Channel: guix-science
Location: guix-science/packages/machine-learning.scm (guix-science packages machine-learning)
Home page: https://www.kernel-operations.io/
Licenses: Expat
Build system: pyproject
Synopsis: Python bindings for kernel operations (KeOps)
Description:

Python bindings for KeOps, on CPUs and GPUs, with autodiff and without memory overflows.

python-geomstats 2.8.0
Propagated dependencies: python-autograd@1.8.0 python-joblib@1.5.2 python-matplotlib@3.8.2 python-networkx@3.4.2 python-numpy@1.26.4 python-pandas@2.2.3 python-pytorch@2.9.0 python-scikit-learn@1.7.0 python-scipy@1.12.0
Channel: guix-science
Location: guix-science/packages/machine-learning.scm (guix-science packages machine-learning)
Home page: https://geomstats.github.io/
Licenses: Expat
Build system: pyproject
Synopsis: Geometric statistics on manifolds
Description:

Geomstats is an open-source Python package for computations, statistics, and machine learning on nonlinear manifolds. Data from many application fields are elements of manifolds. For instance, the manifold of 3D rotations SO(3) naturally appears when performing statistical learning on articulated objects like the human spine or robotics arms. Likewise, shape spaces modeling biological shapes or other natural shapes are manifolds.

python-sklearn-compat 0.1.4
Propagated dependencies: python-scikit-learn@1.7.0
Channel: guix-science
Location: guix-science/packages/machine-learning.scm (guix-science packages machine-learning)
Home page: https://sklearn-compat.readthedocs.io/
Licenses: Modified BSD
Build system: pyproject
Synopsis: Multi-version scikit-learn compatibility layer
Description:

sklearn-compat is a small Python package that help developer writing scikit-learn compatible estimators to support multiple scikit-learn versions.

python-flax 0.8.0
Propagated dependencies: python-einops@0.8.1 python-jax@0.4.28 python-optax@0.1.5 python-orbax-checkpoint@0.4.5 python-msgpack@1.1.1 python-numpy@1.26.4 python-pyyaml@6.0.2 python-rich@13.7.1 python-tensorstore@0.1.80 python-typing-extensions@4.15.0
Channel: guix-science
Location: guix-science/packages/machine-learning.scm (guix-science packages machine-learning)
Home page: https://github.com/google/flax
Licenses: ASL 2.0
Build system: pyproject
Synopsis: Neural network library for JAX designed for flexibility
Description:

Flax is a neural network library for JAX that is designed for flexibility.

python-ruptures 1.1.10
Propagated dependencies: python-numpy@1.26.4 python-scipy@1.12.0
Channel: guix-science
Location: guix-science/packages/machine-learning.scm (guix-science packages machine-learning)
Home page: https://centre-borelli.github.io/ruptures-docs/
Licenses: FreeBSD
Build system: pyproject
Synopsis: Change point detection for signals in Python
Description:

ruptures is a Python library for off-line change point detection. This package provides methods for the analysis and segmentation of non-stationary signals. Implemented algorithms include exact and approximate detection for various parametric and non-parametric models. ruptures focuses on ease of use by providing a well-documented and consistent interface. In addition, thanks to its modular structure, different algorithms and models can be connected and extended within this package.

python-pyod 2.0.6
Propagated dependencies: python-joblib@1.5.2 python-matplotlib@3.8.2 python-numba@0.61.0 python-numpy@1.26.4 python-pandas@2.2.3 python-pytorch@2.9.0 python-scikit-learn@1.7.0 python-scipy@1.12.0 python-xgboost@1.7.6
Channel: guix-science
Location: guix-science/packages/machine-learning.scm (guix-science packages machine-learning)
Home page: http://pyod.readthedocs.io/
Licenses: Modified BSD
Build system: pyproject
Synopsis: Python Library for outlier detection
Description:

This package provides a Python library for outlier and anomaly detection, integrating classical and deep learning techniques .

python-keopscore 2.3
Channel: guix-science
Location: guix-science/packages/machine-learning.scm (guix-science packages machine-learning)
Home page: https://www.kernel-operations.io/
Licenses: Expat
Build system: pyproject
Synopsis: Core package for kernel operations (KeOps)
Description:

keopscore is the KeOps meta programming engine. This python module should be used through a binder (e.g. pykeops or rkeops).

python-category-encoders 2.9.0
Propagated dependencies: python-numpy@1.26.4 python-pandas@2.2.3 python-patsy@1.0.1 python-scikit-learn@1.7.0 python-scipy@1.12.0 python-statsmodels@0.14.4
Channel: guix-science
Location: guix-science/packages/machine-learning.scm (guix-science packages machine-learning)
Home page: http://contrib.scikit-learn.org/category_encoders/
Licenses: Modified BSD
Build system: pyproject
Synopsis: Categorical variable encoders compatible with scikit-learn
Description:

This package provides a set of scikit-learn-style transformers for encoding categorical variables into numeric by means of different techniques.

python-ray-cpp 2.38.0
Propagated dependencies: python-aiohttp@3.11.11 python-aiosignal@1.4.0 python-click@8.1.8 python-colorama@0.4.6 python-filelock@3.16.1 python-frozenlist@1.3.3 python-jsonschema@4.23.0 python-msgpack@1.1.1 python-numpy@1.26.4 python-packaging@25.0 python-pandas@2.2.3 python-protobuf@3.20.3 python-psutil@7.0.0 python-pyyaml@6.0.2 python-ray@2.38.0 python-requests@2.32.5 python-setproctitle@1.3.7
Channel: guix-science
Location: guix-science/packages/machine-learning.scm (guix-science packages machine-learning)
Home page: https://github.com/ray-project/ray
Licenses: ASL 2.0
Build system: pyproject
Synopsis: Framework for scaling machine learning applications
Description:

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI libraries for simplifying ML compute. These are the provided Ray AI libraries:

  • Data: Scalable datasets for ML;

  • Train: Distributed training;

  • Tune: Scalable hyperparameter tuning;

  • RLlib: Scalable reinforcement learning;

  • Serve: Scalable and programmable serving.

python-fenics-basix 0.10.0.post0
Dependencies: fenics-basix@0.10.0.post0
Propagated dependencies: python-numba@0.61.0 python-numpy@1.26.4
Channel: guix-science
Location: guix-science/packages/maths.scm (guix-science packages maths)
Home page: https://fenicsproject.org/
Licenses: LGPL 3+
Build system: pyproject
Synopsis: Python wrapper for fenics-basix
Description:

Basix is a finite element definition and tabulation runtime library.

Basix allows users to:

  • evaluate finite element basis functions and their derivatives at a set of points;

  • access geometric and topological information about reference cells;

  • apply push forward and pull back operations to map data between a reference cell and a physical cell;

  • permute and transform DOFs to allow higher-order elements to be use on arbitrary meshes;

  • interpolate into and between finite element spaces.

Basix includes a range of built-in elements, and also allows the user to define their own custom elements.

This package provides the Python wrapper for Basix.

dbcsr 2.9.1
Dependencies: openmpi@4.1.6 lapack@3.12.1
Channel: guix-science
Location: guix-science/packages/maths.scm (guix-science packages maths)
Home page: https://cp2k.github.io/dbcsr/
Licenses: GPL 2
Build system: cmake
Synopsis: Distributed Block Compressed Sparse Row matrix library
Description:

DBCSR is a library designed to efficiently perform sparse matrix-matrix multiplication, among other operations. It is MPI and OpenMP parallel and can exploit Nvidia and AMD GPUs via CUDA and HIP.

blaspp 2025.05.28
Dependencies: openblas@0.3.30
Channel: guix-science
Location: guix-science/packages/maths.scm (guix-science packages maths)
Home page: https://github.com/icl-utk-edu/blaspp
Licenses: Modified BSD
Build system: cmake
Synopsis: C++ API for the Basic Linear Algebra Subroutines
Description:

The Basic Linear Algebra Subprograms (BLAS) have been around for many decades and serve as the de facto standard for performance-portable and numerically robust implementation of essential linear algebra functionality. The objective of BLAS++ is to provide a convenient, performance oriented API for development in the C++ language, that, for the most part, preserves established conventions, while, at the same time, takes advantages of modern C++ features, such as: namespaces, templates, exceptions, etc.

fabulous 1.1.4
Dependencies: openblas@0.3.30
Channel: guix-science
Location: guix-science/packages/maths.scm (guix-science packages maths)
Home page: https://gitlab.inria.fr/solverstack/fabulous
Licenses: CeCILL-C
Build system: cmake
Synopsis: Fast Accurate Block Linear Krylov Solver
Description:

Library implementing Block-GMres with Inexact Breakdown and Deflated Restarting, Breakdown Free Block Conjudate Gradiant, Block General Conjugate Residual and Block General Conjugate Residual with Inner Orthogonalization and with inexact breakdown and deflated restarting.

fenics-basix 0.10.0.post0
Dependencies: openblas@0.3.30
Channel: guix-science
Location: guix-science/packages/maths.scm (guix-science packages maths)
Home page: https://fenicsproject.org/
Licenses: LGPL 3+
Build system: cmake
Synopsis: Finite element basis evaluation library
Description:
Basix is a finite element definition and tabulation runtime library. Basix allows users to: @itemize @item evaluate finite element basis functions and their derivatives at a set of points; @item access geometric and topological information about reference cells; @item apply push forward and pull back operations to map data between a reference cell and a physical cell; @item permute and transform DOFs to allow higher-order elements to be use on arbitrary meshes; @item interpolate into and between finite element spaces. Basix includes a range of built-in elements, and also allows the user to define their own custom elements. This package provides the C++ library for Basix.
fenics-ffcx 0.10.1.post0
Channel: guix-science
Location: guix-science/packages/maths.scm (guix-science packages maths)
Home page: https://fenicsproject.org/
Licenses: LGPL 3+
Build system: cmake
Synopsis: UFCx interface header for finite element kernels
Description:

FFCx is a compiler for finite element variational forms.

From a high-level description of the form in the UFL, it generates efficient low-level C code that can be used to assemble the corresponding discrete operator (tensor). In particular, a bilinear form may be assembled into a matrix and a linear form may be assembled into a vector.

This package provides the UFCx interface header.

lapackpp 2025.05.28
Dependencies: blaspp@2025.05.28 openblas@0.3.30
Channel: guix-science
Location: guix-science/packages/maths.scm (guix-science packages maths)
Home page: https://github.com/icl-utk-edu/lapackpp
Licenses: Modified BSD
Build system: cmake
Synopsis: C++ API for the Linear Algebra PACKage
Description:

The Linear Algebra PACKage (LAPACK) is a standard software library for numerical linear algebra. The objective of LAPACK++ is to provide a convenient, performance oriented API for development in the C++ language, that, for the most part, preserves established conventions, while, at the same time, takes advantages of modern C++ features, such as: namespaces, templates, exceptions, etc.

grace 5.1.25
Dependencies: fftw@3.3.10 libjpeg-turbo@2.1.4 libpng@1.6.39 motif@2.3.8-1.0f556b0 netcdf@4.9.0 t1lib@5.1.2 xbae@4.60.4
Channel: guix-science
Location: guix-science/packages/maths.scm (guix-science packages maths)
Home page: https://plasma-gate.weizmann.ac.il/Grace/
Licenses: GPL 2+
Build system: gnu
Synopsis: 2D plotting tool for the X Window System
Description:

Grace is a 2D plotting tool for the X Window System. It has a Motif-based GUI and a scripting language that includes curve fitting, analysis, and export capabilities.

python-fenics-ufl 2025.2.1
Propagated dependencies: python-numpy@1.26.4
Channel: guix-science
Location: guix-science/packages/maths.scm (guix-science packages maths)
Home page: https://fenicsproject.org/
Licenses: LGPL 3+
Build system: pyproject
Synopsis: Unified Form Language for FEniCS
Description:

The Unified Form Language (UFL) is a domain specific language for declaration of finite element discretizations of variational forms. More precisely, it defines a flexible interface for choosing finite element spaces and defining expressions for weak forms in a notation close to mathematical notation.

python-fenics-ffcx 0.10.1.post0
Propagated dependencies: python-cffi@1.17.1 python-fenics-basix@0.10.0.post0 python-fenics-ufl@2025.2.1 python-numba@0.61.0 python-numpy@1.26.4 python-pygraphviz@1.14
Channel: guix-science
Location: guix-science/packages/maths.scm (guix-science packages maths)
Home page: https://fenicsproject.org/
Licenses: LGPL 3+
Build system: pyproject
Synopsis: FEniCS Form Compiler for finite element forms
Description:

FFCx is a compiler for finite element variational forms.

From a high-level description of the form in the UFL, it generates efficient low-level C code that can be used to assemble the corresponding discrete operator (tensor). In particular, a bilinear form may be assembled into a matrix and a linear form may be assembled into a vector.

This package provides the CLI and Python library.

fenics-dolfinx 0.10.0.post5
Propagated dependencies: adios2@2.11.0 boost@1.89.0 fenics-basix@0.10.0.post0 fenics-ffcx@0.10.1.post0 hdf5-parallel-openmpi@1.14.6 openmpi@4.1.6 petsc-openmpi@3.24.0 pt-scotch32@7.0.7 pugixml@1.12.1 slepc-openmpi@3.24.0 spdlog@1.13.0
Channel: guix-science
Location: guix-science/packages/maths.scm (guix-science packages maths)
Home page: https://fenicsproject.org/
Licenses: LGPL 3+
Build system: cmake
Synopsis: FEniCS problem solving environment in C++
Description:

DOLFINx is the computational environment of FEniCSx and implements the FEniCS Problem Solving Environment in C++ and Python.

This package provides the C++ interface.

python-fenics-dolfinx 0.10.0.post5
Dependencies: fenics-dolfinx@0.10.0.post5
Propagated dependencies: python-cffi@1.17.1 python-fenics-basix@0.10.0.post0 python-fenics-ffcx@0.10.1.post0 python-fenics-ufl@2025.2.1 python-mpi4py@4.1.0 python-numba@0.61.0 python-numpy@1.26.4 python-petsc4py@3.24.0 python-pyamg@5.0.1
Channel: guix-science
Location: guix-science/packages/maths.scm (guix-science packages maths)
Home page: https://fenicsproject.org/
Licenses: LGPL 3+
Build system: pyproject
Synopsis: FEniCS problem solving environment in Python
Description:

DOLFINx is the computational environment of FEniCSx and implements the FEniCS Problem Solving Environment in C++ and Python.

This package provides the Python interface.

stir 6.2.0
Dependencies: boost@1.89.0 python@3.11.14
Propagated dependencies: python-numpy@1.26.4
Channel: guix-science
Location: guix-science/packages/medical.scm (guix-science packages medical)
Home page: https://stir.sourceforge.net
Licenses: LGPL 2.1
Build system: cmake
Synopsis: Tomographic image reconstruction in nuclear medicine
Description:

STIR is an object-oriented framework for tomographic image reconstruction, with an emphasis on iterative reconstruction in PET and SPECT. This package includes the C++ core and Python bindings.

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.

libmeshb 7.84-0.88095d5
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.

Total results: 1131