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

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.


snakemake 6.15.5
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-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-ratelimiter@1.2.0.post1-0.59a0827 python-requests@2.32.5 python-smart-open@7.3.0 python-stopit@1.1.2 python-tabulate@0.9.0 python-toposort@1.10 python-wrapt@1.17.0
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://snakemake.readthedocs.io
Licenses: Expat
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-scikit-survival 0.25.0-0.bc4a891
Propagated dependencies: python-ecos@2.0.13 python-joblib@1.5.2 python-numexpr@2.12.1 python-numpy@1.26.4 python-osqp@0.6.5 python-pandas@2.2.3 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://github.com/sebp/scikit-survival
Licenses: GPL 3+
Synopsis: Survival analysis built on top of scikit-learn
Description:

Scikit-survival is a Python module for survival analysis built on top of scikit-learn. It allows doing survival analysis while utilizing the power of scikit-learn, e.g., for pre-processing or doing cross-validation.

python-numba-stats 1.11.0
Propagated dependencies: python-numba@0.61.0 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-hep/numba-stats
Licenses: Expat
Synopsis: Accelerated implementations of SciPy probability distributions
Description:

This package provides Numba-accelerated implementations of common SciPy probability distributions and others used in particle physics.

The supported distributions are:

  • Uniform

  • (Truncated) Normal

  • Log-normal

  • Poisson

  • Binomial

  • (Truncated) Exponential

  • Student's t

  • Voigtian

  • Crystal Ball

  • Generalised double-sided Crystal Ball

  • Tsallis-Hagedorn, a model for the minimum bias pT distribution

  • Q-Gaussian

  • Bernstein density (not normalized to unity)

  • Cruijff density (not normalized to unity)

  • CMS-Shape

  • Generalized Argus

python-osqp 0.6.5
Propagated dependencies: python-numpy@1.26.4 python-qdldl@0.1.7.post5 python-scipy@1.12.0
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://osqp.org/
Licenses: ASL 2.0
Synopsis: OSQP: operator splitting QP solver
Description:

The OSQP (Operator Splitting Quadratic Program) solver is a numerical optimization package.

python-iminuit 2.31.1
Propagated dependencies: python-ipywidgets@8.1.2 python-matplotlib@3.8.2 python-numpy@1.26.4 python-scipy@1.12.0 python-unicodeitplus@0.3.1
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/scikit-hep/iminuit
Licenses: Expat LGPL 2.1+
Synopsis: Python interface for MINUIT2
Description:

iminuit is a Jupyter-friendly Python interface for the Minuit2 C++ library maintained by CERN's ROOT team.

Minuit was designed to optimize statistical cost functions, for maximum-likelihood and least-squares fits. It provides the best-fit parameters and error estimates from likelihood profile analysis.

Optionally, Iminuit supports SciPy minimizers as alternatives to Minuit's MIGRAD algorithm and Numba accelerated functions.

python-pandas-stubs 2.2.3.241126
Propagated dependencies: python-types-pytz@2025.2.0.20250809
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://pandas.pydata.org
Licenses: Modified BSD
Synopsis: Type annotations for pandas
Description:

This package contains public type stubs for python-pandas, following the convention of providing stubs in a separate package, as specified in PEP 561. The stubs cover the most typical use cases of python-pandas. In general, these stubs are narrower than what is possibly allowed by python-pandas, but follow a convention of suggesting best recommended practices for using python-pandas.

python-supersmoother 0.4-0.0a81544
Propagated dependencies: python-numpy@1.26.4
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: http://github.com/jakevdp/supersmoother
Licenses: FreeBSD
Synopsis: Python implementation of Friedman's Supersmoother
Description:

This package provides an efficient implementation of Friedman's SuperSmoother based in Python. It makes use of numpy for fast numerical computation.

python-mpsplines 0.0.0-0.4967655
Propagated dependencies: python-scipy@1.12.0 python-numpy@1.26.4 python-loguru@0.7.2
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/jararias/mpsplines
Licenses: Modified BSD
Synopsis: Mean preserving interpolation with splines
Description:

Thi package implements a functionality for mean-preserving interpolation of 1D data (for example, time series) with splines.

python-numdifftools 0.9.41
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/pbrod/numdifftools
Licenses: Modified BSD
Synopsis: Solves automatic numerical differentiation problems
Description:

This package implements a functionality to solve automatic numerical differentiation problems in one or more variables. Finite differences are used in an adaptive manner, coupled with a Richardson extrapolation methodology to provide a maximally accurate result. The user can configure many options like; changing the order of the method or the extrapolation, even allowing the user to specify whether complex-step, central, forward or backward differences are used.

python-pandarallel 1.6.5
Propagated dependencies: python-dill@0.4.0 python-pandas@2.2.3 python-psutil@7.0.0
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://nalepae.github.io/pandarallel/
Licenses: Modified BSD
Synopsis: Tool to parallelize Pandas operations across CPUs
Description:

pandarallel allows any Pandas user to take advantage of their multi-core computer, while Pandas uses only one core. pandarallel also offers nice progress bars (available on Notebook and terminal) to get an rough idea of the remaining amount of computation to be done.

python-dask 2024.12.1
Propagated dependencies: python-click@8.1.8 python-cloudpickle@3.1.0 python-fsspec@2025.9.0 python-importlib-metadata@8.7.0 python-numpy@1.26.4 python-packaging@25.0 python-pandas@2.2.3 python-partd@1.4.2 python-toolz@1.0.0 python-pyyaml@6.0.2
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/dask/dask/
Licenses: Modified BSD
Synopsis: Parallel computing with task scheduling
Description:

Dask is a flexible parallel computing library for analytics. It consists of two components: dynamic task scheduling optimized for computation, and large data collections like parallel arrays, dataframes, and lists that extend common interfaces like NumPy, Pandas, or Python iterators to larger-than-memory or distributed environments. These parallel collections run on top of the dynamic task schedulers.

python-algopy 0.6.0
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://pythonhosted.org/algopy
Licenses: Modified BSD
Synopsis: Algorithmic Differentation in Python
Description:

AlgoPy provides a functionality to differentiate functions implemented as computer programs by using Algorithmic Differentiation (AD) techniques in the forward and reverse mode.

The forward mode propagates univariate Taylor polynomials of arbitrary order. Hence it is also possible to use AlgoPy to evaluate higher-order derivative tensors. The reverse mode is also known as backpropagation and can be found in similar form in tools like PyTorch. Speciality of AlgoPy is the possibility to differentiate functions that contain matrix functions as +,-,*,/, dot, solve, qr, eigh, cholesky.

python-pyfma 0.1.6
Propagated dependencies: python-numpy@1.26.4
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/nschloe/pyfma
Licenses: Expat
Synopsis: Fused multiply-add for Python
Description:

pyfma provides an implementation of fused multiply-add which computes (x*y) + z with a single rounding. This is useful for dot products, matrix multiplications, polynomial evaluations (e.g., with Horner's rule), Newton's method for evaluating functions, convolutions, artificial neural networks etc.

python-snakemake-interface-software-deployment-plugins 0.6.1
Propagated dependencies: python-argparse-dataclass@2.0.0 python-snakemake-interface-common@1.17.4
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/snakemake/snakemake-interface-software-deployment-plugins
Licenses: Expat
Synopsis: Interface for Snakemake software deployment plugins
Description:

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

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
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-nestcheck 0.2.1-0.513ef96
Propagated dependencies: python-fgivenx@2.4.2 python-matplotlib@3.8.2 python-numpy@1.26.4 python-pandas@2.2.3 python-scipy@1.12.0 python-tqdm@4.67.1
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/ejhigson/nestcheck
Licenses: Expat
Synopsis: Nested sampling calculations utilities
Description:

This package implements a functionality to work with Nested sampling, a popular numerical method for Bayesian computation, which simultaneously generates samples from the posterior distribution and an estimate of the Bayesian evidence for a given likelihood and prior. nestcheck provides Python utilities for analysing samples produced by nested sampling, and estimating uncertainties on nested sampling calculations (which have different statistical properties to calculations using other numerical methods).

python-upsetplot 0.9.0
Propagated dependencies: python-matplotlib@3.8.2 python-pandas@2.2.3
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://upsetplot.readthedocs.io
Licenses: Modified BSD
Synopsis: Draw UpSet plots with Pandas and Matplotlib
Description:

This is a Python implementation of UpSet plots by Lex et al. UpSet plots are used to visualize set overlaps; like Venn diagrams but more readable.

python-dvc-data 3.16.12
Propagated dependencies: python-attrs@25.3.0 python-dictdiffer@0.9.0 python-diskcache@5.6.3 python-dvc-objects@5.1.1 python-fsspec@2025.9.0 python-funcy@1.14 python-orjson@3.9.7 python-pygtrie@2.5.0 python-sqltrie@0.11.2 python-tqdm@4.67.1
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/iterative/dvc-data
Licenses: ASL 2.0
Synopsis: DVC's data management subsystem
Description:

Dvc data is DVC's data management subsystem.

python-spin 0.8
Propagated dependencies: python-click@8.1.8 python-colorama@0.4.6 python-tomli@2.2.1
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/scientific-python/spin
Licenses: Modified BSD
Synopsis: Developer tool for scientific Python libraries
Description:

spin is a simple interface for common development tasks. It comes with a few common build commands out the box, but can easily be customized per project.

The impetus behind developing the tool was the mass migration of scientific Python libraries (SciPy, scikit-image, and NumPy, etc.) to Meson, after distutils was deprecated. When many of the build and installation commands changed, it made sense to abstract away the nuisance of having to re-learn them.

python-simplespectral 1.0.0
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://github.com/xmikos/simplespectral
Licenses: Expat
Synopsis: FFT module for Python
Description:

This package provides a simplified scipy.signal.spectral module to do spectral analysis in Python.

python-formulaic 1.0.1
Propagated dependencies: python-astor@0.8.1-0.df09001 python-cached-property@2.0.1 python-interface-meta@1.3.0 python-numpy@1.26.4 python-pandas@2.2.3 python-scipy@1.12.0 python-typing-extensions@4.15.0 python-wrapt@1.17.0
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/matthewwardrop/formulaic
Licenses: Expat
Synopsis: Implementation of Wilkinson formulas
Description:

Formulaic is a high-performance implementation of Wilkinson formulas for Python.

python-imagehash 4.3.2
Propagated dependencies: python-numpy@1.26.4 python-pillow@11.1.0 python-pywavelets@1.8.0 python-scipy@1.12.0
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/JohannesBuchner/imagehash
Licenses: FreeBSD
Synopsis: Perceptual Image Hashing library
Description:

This package implements a functionality to tell whether two images look nearly identical. The image hash algorithms (average, perceptual, difference, wavelet) analyse the image structure on luminance (without color information). The color hash algorithm analyses the color distribution and black & gray fractions (without position information).

Features:

  • average hashing

  • perceptual hashing

  • difference hashing

  • wavelet hashing

  • HSV color hashing (colorhash)

  • crop-resistant hashing

python-pods 0.1.17
Propagated dependencies: python-pandas@2.2.3 python-pyyaml@6.0.2 python-scipy@1.12.0 python-tables@3.10.2
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/lawrennd/ods
Licenses: Modified BSD
Synopsis: Python software for Open Data Science
Description:

This package provides utilities and tools for open data science including tools for accessing data sets in Python.

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Total results: 68249