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/_/ /      / / /____\/ /       \ \_\\ \/___/ /
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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-pyrush 1.0.8
Propagated dependencies: python-pyfastner@1.0.9 python-spacy@3.8.7
Channel: guix-science
Location: guix-science/packages/nlp.scm (guix-science packages nlp)
Home page: https://github.com/jianlins/PyRuSH
Licenses: Expat
Synopsis: Rule-based sentence Segmenter using Hashing in Python
Description:

PyRuSH is the python implementation of RuSH, which is originally developed using Java. RuSH is an efficient, reliable, and easy adaptable rule-based sentence segmentation solution. It is specifically designed to handle the telegraphic written text in clinical note. It leverages a nested hash table to execute simultaneous rule processing, which reduces the impact of the rule-base growth on execution time and eliminates the effect of rule order on accuracy.

python-gensim 4.4.0
Propagated dependencies: python-numpy@1.26.4 python-scipy@1.12.0 python-smart-open@7.3.0
Channel: guix-science
Location: guix-science/packages/nlp.scm (guix-science packages nlp)
Home page: https://radimrehurek.com/gensim/
Licenses: LGPL 2.1
Synopsis: Topic Modelling in Python
Description:

Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the NLP and IR communities.

python-iamsystem 0.6.1
Propagated dependencies: python-anyascii@0.3.3 python-pysimstring@1.3.0 python-spellwise@0.8.1 python-typing-extensions@4.15.0
Channel: guix-science
Location: guix-science/packages/nlp.scm (guix-science packages nlp)
Home page: https://github.com/scossin/iamsystem_python
Licenses: Expat
Synopsis: Fast dictionary-based approach for semantic annotation
Description:

This package provides a Python implementation of IAMsystem algorithm, a fast dictionary-based approach for semantic annotation, a.k.a entity linking.

python-flashtext 2.7-0.f492744
Channel: guix-science
Location: guix-science/packages/nlp.scm (guix-science packages nlp)
Home page: https://github.com/vi3k6i5/flashtext
Licenses: Expat
Synopsis: Extract and replace keywords in sentences
Description:

This module can be used to extract or replace keywords in sentences, based on the FlashText algorithm.

python-quicksectx 0.4.1
Channel: guix-science
Location: guix-science/packages/nlp.scm (guix-science packages nlp)
Home page: https://github.com/jianlins/quicksectx
Licenses: Expat
Synopsis: Simple and fast interval search in Python
Description:

Quicksectx is a simple, fast and no-dependency Python implementation of interval search, adapted from the bx-python project.

python-pysimstring 1.3.0
Channel: guix-science
Location: guix-science/packages/nlp.scm (guix-science packages nlp)
Home page: https://github.com/percevalw/pysimstring
Licenses: Modified BSD
Synopsis: Python bindings for simstring
Description:

This package provides Python bindings for the simstring text similarity matching library.

python-pyfastner 1.0.9
Propagated dependencies: python-quicksectx@0.4.1
Channel: guix-science
Location: guix-science/packages/nlp.scm (guix-science packages nlp)
Home page: https://github.com/jianlins/PyFastNER
Licenses: ASL 2.0
Synopsis: Python implementation of FastNER
Description:

PyFastNER is the Python implementation of FastNER. It uses hash function to process multiple rules at the same time. Similar to FastNER, PyFastNER supports token-based rules and character-based rules.

python-seqeval 1.2.2
Propagated dependencies: python-numpy@1.26.4 python-scikit-learn@1.7.0
Channel: guix-science
Location: guix-science/packages/nlp.scm (guix-science packages nlp)
Home page: https://github.com/chakki-works/seqeval
Licenses: Expat
Synopsis: Testing framework for sequence labeling
Description:

seqeval is a Python framework for sequence labeling evaluation. seqeval can evaluate the performance of chunking tasks such as named-entity recognition, part-of-speech tagging, semantic role labeling and so on.

python-spellwise 0.8.1
Channel: guix-science
Location: guix-science/packages/nlp.scm (guix-science packages nlp)
Home page: https://github.com/chinnichaitanya/spellwise
Licenses: Expat
Synopsis: Fast fuzzy matcher & spelling checker in Python
Description:

Extremely fast spelling checker and suggester in Python.

The following algorithms are supported currently:

  • Edit-distance

  • Editex

  • Soundex

  • Caverphone 1.0 and 2.0

  • Typox

All the above algorithms use an underlying Trie-based dictionary for efficient storage and fast computation.

python-pylhe 1.0.2
Propagated dependencies: python-awkward@2.7.2 python-graphviz@0.20.3 python-particle@0.25.3 python-vector@1.6.2
Channel: guix-science
Location: guix-science/packages/physics.scm (guix-science packages physics)
Home page: https://scikit-hep.org/pylhe/
Licenses: Modified BSD
Synopsis: Python interface to Les Houches Event files
Description:

This package provides a small and thin Python interface to read Les Houches Event (LHE) files.

vdt 0.4.4
Channel: guix-science
Location: guix-science/packages/physics.scm (guix-science packages physics)
Home page: https://root.cern/root/html606/md_math_vdt_ReadMe.html
Licenses: LGPL 3+
Synopsis: The VDT mathematical library
Description:

VDT is a library of mathematical functions, implemented in double and single precision. The implementation is fast and with the aid of modern compilers (e.g. gcc 4.7) vectorisable. VDT exploits also Pade polynomials.

smilei 5.1
Dependencies: hdf5-parallel-openmpi@1.14.6 libomp@13.0.1 openmpi@4.1.6
Propagated dependencies: python@3.11.11 python-numpy@1.26.4
Channel: guix-science
Location: guix-science/packages/physics.scm (guix-science packages physics)
Home page: https://smileipic.github.io/Smilei/
Licenses: CeCILL-B
Synopsis: Particle-in-cell code for plasma simulation
Description:

Smilei is a user-friendly electromagnetic particle-in-cell code for the kinetic simulation of plasmas. Co-developed by physicists and computer scientists, it is designed for high-performance on the most recent supercomputing architectures. Smilei is applied to a wide range of applications, from laser-plasma interaction, to accelerator physics, space physics and astrophysics.

egsnrc 2025a
Dependencies: grace@5.1.25 guile@3.0.9 inetutils@2.5 qtbase@5.15.16
Channel: guix-science
Location: guix-science/packages/physics.scm (guix-science packages physics)
Home page: https://nrc-cnrc.github.io/EGSnrc
Licenses: AGPL 3+
Synopsis: Toolkit for Monte Carlo simulation of ionizing radiation transport
Description:

EGSnrc is a software toolkit to perform Monte Carlo simulation of ionizing radiation transport through matter. It models the propagation of photons, electrons and positrons with kinetic energies between 1 keV and 10 GeV, in homogeneous materials.

clhep 2.4.6.2
Channel: guix-science
Location: guix-science/packages/physics.scm (guix-science packages physics)
Home page: https://proj-clhep.web.cern.ch/proj-clhep/
Licenses: GPL 3+
Synopsis: HEP-specific foundation and utility classes
Description:

CLHEP is a set of HEP-specific foundation and utility classes such as random generators, physics vectors, geometry and linear algebra. CLHEP is structured in a set of packages independent of any external package.

python-hepstats 0.9.2
Propagated dependencies: python-asdf@5.0.0 python-numpy@1.26.4 python-pandas@2.2.3 python-scipy@1.12.0 python-tqdm@4.67.1 python-uhi@0.5.0
Channel: guix-science
Location: guix-science/packages/physics.scm (guix-science packages physics)
Home page: https://scikit-hep.org/hepstats/
Licenses: Modified BSD
Synopsis: HEP statistics tools and utilities
Description:

This package provides a library for statistical inference aiming to cover the needs High Energy Physics.

python-mplhep 0.4.1
Propagated dependencies: python-matplotlib@3.8.2 python-mplhep-data@0.0.5 python-numpy@1.26.4 python-packaging@25.0 python-scipy@1.12.0 python-uhi@0.5.0
Channel: guix-science
Location: guix-science/packages/physics.scm (guix-science packages physics)
Home page: https://scikit-hep.org/mplhep/
Licenses: Expat
Synopsis: Matplotlib styles for HEP
Description:

This package provides a set of helpers for matplotlib to more easily produce plots typically needed in HEP as well as style them in way that's compatible with current collaboration requirements (ROOT-like plots for CMS, ATLAS, LHCb, ALICE).

clhep 2.4.7.2
Channel: guix-science
Location: guix-science/packages/physics.scm (guix-science packages physics)
Home page: https://proj-clhep.web.cern.ch/proj-clhep/
Licenses: GPL 3+
Synopsis: HEP-specific foundation and utility classes
Description:

CLHEP is a set of HEP-specific foundation and utility classes such as random generators, physics vectors, geometry and linear algebra. CLHEP is structured in a set of packages independent of any external package.

gyselalibxx 0.3.0
Dependencies: ddc@0.9.0 eigen@3.4.0 fftw@3.3.10 fftwf@3.3.10 ginkgo-hpc@1.10.0 hdf5@1.14.6 kokkos@4.6.02 kokkos-fft@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
Location: guix-science/packages/physics.scm (guix-science packages physics)
Home page: https://gyselax.github.io/
Licenses: FreeBSD
Synopsis: Collection of C++ components for writing gyrokinetic semi-lagrangian codes
Description:

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

python-scikit-hep-testdata 0.6.0
Propagated dependencies: python-pyyaml@6.0.2 python-requests@2.32.5
Channel: guix-science
Location: guix-science/packages/physics.scm (guix-science packages physics)
Home page: https://github.com/scikit-hep/scikit-hep-testdata
Licenses: Modified BSD
Synopsis: Example HEP files for testing and demonstrating
Description:

This package provides example files (e.g. ROOT) for testing and developing HEP packages against.

davix 0.8.7
Dependencies: util-linux@2.40.4 curl@8.6.0 libxml2@2.14.6 openssl@3.0.8
Channel: guix-science
Location: guix-science/packages/physics.scm (guix-science packages physics)
Home page: https://davix.web.cern.ch/
Licenses: LGPL 2.1+
Synopsis: Manage files over HTTP-based protocols
Description:

Davix aims to make the task of managing files overHTTP-based protocols simple. It is being developed by the IT-SDC-ID section at CERN, and while the project’s purpose is its use on the CERN grid, the functionality offered is generic.

fclib 3.0.0
Propagated dependencies: hdf5@1.14.6
Channel: guix-science
Location: guix-science/packages/physics.scm (guix-science packages physics)
Home page: https://frictionalcontactlibrary.github.io/
Licenses: ASL 2.0
Synopsis: A collection of discrete 3D Frictional Contact (FC) problems
Description:

FCLIB is an open source collection of Frictional Contact (FC) problems stored in a specific HDF5 format with a light implementation in C Language of Input/Output functions to read and write those problems.

python-hdf5plugin 5.1.0
Propagated dependencies: python-h5py@3.13.0
Channel: guix-science
Location: guix-science/packages/physics.scm (guix-science packages physics)
Home page: http://www.silx.org/doc/hdf5plugin/latest
Licenses: Expat
Synopsis: HDF5 compression filters for @code{h5py}
Description:

hdf5plugin provides HDF5 compression filters (namely: Blosc, Blosc2, BitShuffle, BZip2, FciDecomp, LZ4, Sperr, SZ, SZ3, Zfp, ZStd) and makes them usable from h5py.

python-pyfai 2025.3.0
Propagated dependencies: python-fabio@2024.9.0 python-h5py@3.13.0 python-importlib-resources@6.5.2 python-matplotlib@3.8.2 python-numexpr@2.12.1 python-numpy@1.26.4 python-scipy@1.12.0 python-silx@2.2.2
Channel: guix-science
Location: guix-science/packages/physics.scm (guix-science packages physics)
Home page: http://www.silx.org/doc/pyfai/latest
Licenses: Expat
Synopsis: Python implementation of fast azimuthal integration
Description:

PyFAI is an azimuthal integration library that tries to be fast (as fast as C and even more using OpenCL and GPU). It is based on histogramming of the 2theta/Q positions of each (center of) pixel weighted by the intensity of each pixel, but parallel version uses a SparseMatrix-DenseVector multiplication. Neighboring output bins get also a contribution of pixels next to the border thanks to pixel splitting. Finally pyFAI provides also tools to calibrate the experimental setup using Debye-Scherrer rings of a reference compound.

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