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

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-scikit-optimize 0.10.2
Propagated dependencies: python-joblib@1.5.2 python-matplotlib@3.8.2 python-numpy@1.26.4 python-pyaml@25.7.0 python-scikit-learn@1.7.0 python-scipy@1.12.0
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://scikit-optimize.github.io/
Licenses: Modified BSD
Build system: pyproject
Synopsis: Sequential model-based optimization toolbox
Description:

Scikit-Optimize, or skopt, is a simple and efficient library to minimize (very) expensive and noisy black-box functions. It implements several methods for sequential model-based optimization. skopt aims to be accessible and easy to use in many contexts.

python-pynetdicom 2.1.1
Propagated dependencies: python-numpydoc@1.5.0 python-pydicom@2.4.4 python-pyfakefs@5.9.1 python-sqlalchemy@1.4.42
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/pydicom/pynetdicom
Licenses: Expat
Build system: pyproject
Synopsis: Python implementation of the DICOM networking protocol
Description:

pynetdicom is a Python package that implements the DICOM networking protocol. It allows the easy creation of DICOM SCUs and SCPs.

python-marsilea 0.5.4
Propagated dependencies: python-legendkit@0.3.6 python-matplotlib@3.8.2 python-numpy@1.26.4 python-pandas@2.2.3 python-platformdirs@4.3.6 python-scipy@1.12.0 python-seaborn@0.13.2
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/Marsilea-viz/marsilea
Licenses: Expat
Build system: pyproject
Synopsis: Declarative creation of composable visualizations
Description:

Marsilea is a Python library for creating composable visualizations in a declarative way. It is built on top of Matplotlib and provides a high-level API for you to puzzle different visualizations together like logo.

python-libneuroml 0.6.5
Propagated dependencies: python-lxml@6.0.1 python-natsort@8.4.0 python-networkx@3.4.2
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://libneuroml.readthedocs.org/en/latest/
Licenses: Modified BSD
Build system: pyproject
Synopsis: Python library for working with NeuroML descriptions of neuronal models
Description:

This package provides a Python library for working with NeuroML descriptions of neuronal models

python-pingouin 0.5.5
Propagated dependencies: python-matplotlib@3.8.2 python-mpmath@1.3.0 python-numpy@1.26.4 python-pandas@2.2.3 python-pandas-flavor@0.7.0 python-scikit-learn@1.7.0 python-scipy@1.12.0 python-seaborn@0.13.2 python-statsmodels@0.14.4 python-tabulate@0.9.0
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://pingouin-stats.org/
Licenses: GPL 3
Build system: pyproject
Synopsis: Statistical package for Python
Description:

Pingouin is a statistical package written in Python 3 and based mostly on Pandas and NumPy. Its features include

  • ANOVAs: N-ways, repeated measures, mixed, ancova

  • Pairwise post-hocs tests (parametric and non-parametric) and pairwise correlations

  • Robust, partial, distance and repeated measures correlations

  • Linear/logistic regression and mediation analysis

  • Bayes Factors

  • Multivariate tests

  • Reliability and consistency

  • Effect sizes and power analysis

  • Parametric/bootstrapped confidence intervals around an effect size or a correlation coefficient

  • Circular statistics

  • Chi-squared tests

  • Plotting: Bland-Altman plot, Q-Q plot, paired plot, robust correlation, and more

python-ecos 2.0.13
Propagated dependencies: python-numpy@1.26.4 python-scipy@1.12.0
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/embotech/ecos
Licenses: GPL 3
Build system: pyproject
Synopsis: Embedded Cone Solver
Description:

This is the Python package for ECOS: Embedded Cone Solver. ECOS is numerical software for solving convex second-order cone programs (SOCPs).

python-pythran 0.17.0
Propagated dependencies: boost@1.89.0 xsimd@13.2.0 python-beniget@0.4.2.post1 python-gast@0.6.0 python-numpy@1.26.4 python-ply@3.11
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/serge-sans-paille/pythran
Licenses: Modified BSD
Build system: pyproject
Synopsis: Ahead of Time compiler for numeric kernels
Description:

Pythran is an ahead of time compiler for a subset of the Python language, with a focus on scientific computing. It takes a Python module annotated with a few interface descriptions and turns it into a native Python module with the same interface, but (hopefully) faster.

python-pyvistaqt 0.11.3
Propagated dependencies: python-pyvista@0.44.2 python-qtpy@2.4.3
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/pyvista/pyvistaqt
Licenses: Expat
Build system: pyproject
Synopsis: Qt support for PyVista
Description:

pyvistaqt is a helper module for pyvista to enable you to plot using Qt by placing a vtk-widget into a background renderer. This can be quite useful when you desire to update your plot in real-time.

python-anndata 0.12.1
Propagated dependencies: python-array-api-compat@1.12.0 python-h5py@3.13.0 python-importlib-metadata@8.7.0 python-legacy-api-wrap@1.4.1 python-natsort@8.4.0 python-packaging@25.0 python-pandas@2.2.3 python-scikit-learn@1.7.0 python-scipy@1.12.0 python-setuptools@80.9.0 python-zarr@2.18.7
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/theislab/anndata
Licenses: Modified BSD
Build system: pyproject
Synopsis: Annotated data for data analysis pipelines
Description:

Anndata is a package for simple (functional) high-level APIs for data analysis pipelines. In this context, it provides an efficient, scalable way of keeping track of data together with learned annotations and reduces the code overhead typically encountered when using a mostly object-oriented library such as scikit-learn.

python-particle 0.25.3
Propagated dependencies: python-attrs@25.3.0 python-hepunits@2.3.5 python-typing-extensions@4.15.0
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/scikit-hep/particle
Licenses: Modified BSD
Build system: pyproject
Synopsis: Extended PDG particle data and MC identification codes
Description:

Particle provides a pythonic interface to the Particle Data Group (PDG) particle data tables and particle identification codes, with extended particle information and extra goodies.

python-bottleneck 1.4.2
Propagated dependencies: python-numpy@1.26.4
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/pydata/bottleneck
Licenses: FreeBSD
Build system: pyproject
Synopsis: Fast NumPy array functions written in C
Description:

Bottleneck is a collection of fast, NaN-aware NumPy array functions written in C.

python-narwhals 1.44.0
Propagated dependencies: python-pandas@2.2.3 python-dask@2024.12.1 python-modin@0.32.0 python-pyarrow@22.0.0
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://narwhals-dev.github.io/narwhals/
Licenses: Expat
Build system: pyproject
Synopsis: Compatibility layer between dataframe libraries
Description:

This package provides an extremely lightweight compatibility layer between dataframe libraries.

  • full API support: cuDF, Modin, pandas, Polars, PyArrow

  • lazy-only support: Dask, DuckDB, Ibis, PySpark, SQLFrame

python-xarray-schema 0.0.3
Propagated dependencies: python-numpy@1.26.4 python-xarray@2023.12.0
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/carbonplan/xarray-schema
Licenses: Expat
Build system: pyproject
Synopsis: Schema validation for Xarray objects
Description:

This package implements schema validation for Xarray objects.

python-traittypes 0.2.1
Propagated dependencies: python-traitlets@5.14.1
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/jupyter-widgets/traittypes
Licenses: Modified BSD
Build system: pyproject
Synopsis: Trait types for NumPy, SciPy and friends
Description:

The goal of this package is to provide a reference implementation of trait types for common data structures used in the scipy stack such as numpy arrays or pandas and xarray data structures. These are out of the scope of the main traitlets project but are a common requirement to build applications with traitlets in combination with the scipy stack.

python-cmocean 4.0.3
Propagated dependencies: python-matplotlib@3.8.2 python-numpy@1.26.4 python-packaging@25.0
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/matplotlib/cmocean
Licenses: Expat
Build system: pyproject
Synopsis: Colormaps for Oceanography
Description:

This package contains colormaps for commonly-used oceanographic variables. Most of the colormaps started from matplotlib colormaps, but have now been adjusted using the viscm tool to be perceptually uniform.

python-scipy 1.12.0
Dependencies: openblas@0.3.30 pybind11@2.10.4
Propagated dependencies: python-numpy@1.26.4
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://scipy.org/
Licenses: Modified BSD
Build system: pyproject
Synopsis: The Scipy library provides efficient numerical routines
Description:

The SciPy library is one of the core packages that make up the SciPy stack. It provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization.

python-scikit-fuzzy 0.5.0
Propagated dependencies: python-networkx@3.4.2 python-numpy@1.26.4 python-scipy@1.12.0
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/scikit-fuzzy/scikit-fuzzy
Licenses: Modified BSD
Build system: pyproject
Synopsis: Fuzzy logic toolkit for SciPy
Description:

This package implements many useful tools for projects involving fuzzy logic, also known as grey logic.

python-tspex 0.6.3-0.d393ff4
Propagated dependencies: python-matplotlib@3.8.2 python-numpy@1.26.4 python-pandas@2.2.3 python-seaborn@0.13.2 python-xlrd@2.0.2
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://apcamargo.github.io/tspex/
Licenses: GPL 3+
Build system: pyproject
Synopsis: Calculate tissue-specificity metrics for gene expression
Description:

This package provides a Python package for calculating tissue-specificity metrics for gene expression.

python-decaylanguage 0.18.6
Propagated dependencies: python-attrs@25.3.0 python-graphviz@0.20.3 python-hepunits@2.3.5 python-lark@1.2.2 python-numpy@1.26.4 python-pandas@2.2.3 python-particle@0.25.3 python-plumbum@1.7.0
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://decaylanguage.readthedocs.io/en/latest/
Licenses: Modified BSD
Build system: pyproject
Synopsis: Language to describe, manipulate and convert particle decays
Description:

DecayLanguage implements a language to describe and convert particle decays between digital representations, effectively making it possible to interoperate several fitting programs. Particular interest is given to programs dedicated to amplitude analyses.

python-pytensor 2.28.3
Propagated dependencies: python-cons@0.4.7 python-etuples@0.3.10 python-filelock@3.16.1 python-logical-unification@0.4.6 python-minikanren@1.0.5 python-numpy@1.26.4 python-scipy@1.12.0 python-numba@0.61.0
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://pytensor.readthedocs.io/en/latest/
Licenses: Modified BSD
Build system: pyproject
Synopsis: Library for mathematical expressions in multi-dimensional arrays
Description:

PyTensor is a Python library that allows one to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays. It is a fork of the Aesara library.

snakemake 7.32.4
Propagated dependencies: python-appdirs@1.4.4 python-configargparse@1.7 python-connection-pool@0.0.3 python-datrie@0.8.3 python-docutils@0.21.2 python-filelock@3.16.1 python-gitpython@3.1.44 python-humanfriendly@8.2 python-jinja2@3.1.2 python-jsonschema@4.23.0 python-nbformat@5.10.4 python-networkx@3.4.2 python-psutil@7.0.0 python-pulp@2.4 python-pyyaml@6.0.2 python-py-tes@0.4.2 python-requests@2.32.5 python-retry@0.9.2 python-reretry@0.11.8 python-smart-open@7.3.0 python-stopit@1.1.2 python-tabulate@0.9.0 python-throttler@1.2.2 python-toposort@1.10 python-wrapt@1.17.0 python-yte@1.8.1
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://snakemake.readthedocs.io
Licenses: Expat
Build system: pyproject
Synopsis: Python-based execution environment for make-like workflows
Description:

Snakemake aims to reduce the complexity of creating workflows by providing a clean and modern domain specific specification language (DSL) in Python style, together with a fast and comfortable execution environment.

python-fbpca 1.0
Propagated dependencies: python-numpy@1.26.4 python-scipy@1.12.0
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://fbpca.readthedocs.io/
Licenses: Modified BSD
Build system: pyproject
Synopsis: Functions for principal component analysis and accuracy checks
Description:

This package provides fast computations for principal component analysis (PCA), SVD, and eigendecompositions via randomized methods

python-snakemake-interface-storage-plugins 3.3.0
Propagated dependencies: python-reretry@0.11.8 python-snakemake-interface-common@1.17.4 python-throttler@1.2.2 python-wrapt@1.17.0
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/snakemake/snakemake-interface-storage-plugins
Licenses: Expat
Build system: pyproject
Synopsis: Interface for Snakemake storage plugins
Description:

This package provides a stable interface for interactions between Snakemake and its storage plugins.

python-corner 2.2.2
Propagated dependencies: python-matplotlib@3.8.2
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: http://corner.readthedocs.io/
Licenses: FreeBSD
Build system: pyproject
Synopsis: Make some beautiful corner plots
Description:

This Python module uses matplotlib to visualize multidimensional samples using a scatterplot matrix. In these visualizations, each one- and two-dimensional projection of the sample is plotted to reveal covariances. corner was originally conceived to display the results of Markov Chain Monte Carlo simulations and the defaults are chosen with this application in mind but it can be used for displaying many qualitatively different samples.

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