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

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-sparse 0.15.5
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/pydata/sparse/
Licenses: Modified BSD
Build system: pyproject
Synopsis: Library for multi-dimensional sparse arrays
Description:

This package implements sparse arrays of arbitrary dimension on top of numpy and scipy.sparse. Sparse array is a matrix in which most of the elements are zero. python-sparse generalizes the scipy.sparse.coo_matrix and scipy.sparse.dok_matrix layouts, but extends beyond just rows and columns to an arbitrary number of dimensions. Additionally, this project maintains compatibility with the numpy.ndarray interface rather than the numpy.matrix interface used in scipy.sparse. These differences make this project useful in certain situations where scipy.sparse matrices are not well suited, but it should not be considered a full replacement. It lacks layouts that are not easily generalized like compressed sparse row/column(CSR/CSC) and depends on scipy.sparse for some computations.

python-clarabel 0.7.1
Dependencies: maturin@1.8.1
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/oxfordcontrol/Clarabel.rs
Licenses: ASL 2.0
Build system: cargo
Synopsis: Interior-point solver for convex conic optimisation problems
Description:

Clarabel.rs is a Rust implementation of an interior point numerical solver for convex optimization problems using a novel homogeneous embedding.

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-histoprint 2.6.0
Propagated dependencies: python-click@8.1.8 python-numpy@1.26.4 python-uhi@0.5.0
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/scikit-hep/histoprint
Licenses: Expat
Build system: pyproject
Synopsis: Pretty print histograms to the console
Description:

Histoprint uses a mix of terminal color codes and Unicode trickery (i.e. combining characters) to plot overlaying histograms.

python-mpl-scatter-density 0.8
Propagated dependencies: python-fast-histogram@0.14 python-matplotlib@3.8.2 python-numpy@1.26.4
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/astrofrog/mpl-scatter-density
Licenses: FreeBSD
Build system: pyproject
Synopsis: Matplotlib helpers to make density scatter plots
Description:

This package provides functionality to make it easy to make scatter density maps, both for interactive and non-interactive use.

python-cvxpy 1.4.3
Propagated dependencies: pybind11@2.13.6 python-clarabel@0.7.1 python-ecos@2.0.13 python-numpy@1.26.4 python-osqp@0.6.5 python-scipy@1.12.0 python-scs@3.2.4
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/cvxpy/cvxpy
Licenses: ASL 2.0
Build system: pyproject
Synopsis: DSL for modeling convex optimization problems
Description:

This package provides a domain-specific language for modeling convex optimization problems in Python.

python-pandas-flavor 0.7.0
Propagated dependencies: python-lazy-loader@0.4 python-packaging@25.0 python-pandas@2.2.3 python-xarray@2023.12.0
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/pyjanitor-devs/pandas_flavor
Licenses: Expat
Build system: pyproject
Synopsis: Write your own flavor of Pandas
Description:

Pandas 0.23 added a simple API for registering accessors with Pandas objects. Pandas-flavor extends Pandas' extension API by

  • adding support for registering methods as well

  • making each of these functions backwards compatible with older versions of Pandas

python-pint 0.24.4
Propagated dependencies: python-flexcache@0.3 python-flexparser@0.4 python-platformdirs@4.3.6 python-typing-extensions@4.15.0
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/hgrecco/pint
Licenses: Modified BSD
Build system: pyproject
Synopsis: Physical quantities module
Description:

Pint is a Python package to define, operate and manipulate physical quantities: the product of a numerical value and a unit of measurement. It allows arithmetic operations between them and conversions from and to different units.

python-pyamg 5.0.1
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/pyamg/pyamg
Licenses: Expat
Build system: pyproject
Synopsis: Algebraic Multigrid Solvers in Python
Description:

PyAMG is a Python library of Algebraic Multigrid (AMG) solvers. It features implementations of:

  • Ruge-Stuben (RS) or Classical AMG

  • AMG based on Smoothed Aggregation (SA)

  • Adaptive Smoothed Aggregation (αSA)

  • Compatible Relaxation (CR)

  • Krylov methods such as CG, GMRES, FGMRES, BiCGStab, MINRES, etc.

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
Build system: pyproject
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-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.

pyzo 4.20.0
Dependencies: python-pyside-6@6.9.2
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://pyzo.org
Licenses: FreeBSD
Build system: pyproject
Synopsis: Python IDE for scientific computing
Description:

Pyzo is a Python IDE focused on interactivity and introspection,which makes it very suitable for scientific computing. Its practical design is aimed at simplicity and efficiency.

It consists of two main components, the editor and the shell, and uses a set of pluggable tools to help the programmer in various ways. Some example tools are source structure, project manager, interactive help, workspace...

python-scikit-opt 0.6.6
Propagated dependencies: python-numpy@1.26.4 python-pytorch@2.9.0 python-scipy@1.12.0
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/guofei9987/scikit-opt
Licenses: Expat
Build system: pyproject
Synopsis: Swarm intelligence algorithms in Python
Description:

Scikit-opt (or sko) is a Python module implementing swarm intelligence algorithms: genetic algorithm, particle swarm optimization, simulated annealing, ant colony algorithm, immune algorithm, artificial fish swarm algorithm.

python-dask 2024.12.1
Propagated dependencies: python-click@8.1.8 python-cloudpickle@3.1.0 python-dask-expr@1.1.21 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
Build system: pyproject
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-uproot 5.6.4
Propagated dependencies: python-awkward@2.7.2 python-cramjam@2.11.0.post1 python-fsspec@2025.9.0 python-numpy@1.26.4 python-packaging@25.0 python-xxhash@3.5.0
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://uproot.readthedocs.io
Licenses: Modified BSD
Build system: pyproject
Synopsis: ROOT I/O in Python using NumPy
Description:

Uproot is a Python library for reading and writing ROOT files. It uses NumPy and does not depend on C++ ROOT.

python-msgpack-numpy 0.4.8
Propagated dependencies: python-msgpack@1.1.1 python-numpy@1.26.4
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/lebedov/msgpack-numpy
Licenses: Modified BSD
Build system: pyproject
Synopsis: Numpy data serialization using msgpack
Description:

This package provides encoding and decoding routines that enable the serialization and deserialization of numerical and array data types provided by numpy using the highly efficient msgpack format. Serialization of Python's native complex data types is also supported.

python-pynsee 0.1.8
Propagated dependencies: python-appdirs@1.4.4 python-openpyxl@3.1.5 python-pandas@2.2.3 python-platformdirs@4.3.6 python-pyarrow@22.0.0 python-requests@2.32.5 python-shapely@2.1.1 python-tqdm@4.67.1 python-unidecode@1.4.0 python-urllib3@2.5.0 python-xlrd@2.0.2
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://pynsee.readthedocs.io
Licenses: Expat
Build system: pyproject
Synopsis: Tools to Easily Search and Download French Data From INSEE and IGN APIs
Description:

This package provides tools to easily search and download French data from INSEE and IGN APIs. This data includes more than 150 000 macroeconomic series, a dozen datasets of local french data, numerous sources available on insee.fr, geographical limits of administrative areas taken from IGN as well as key metadata and SIRENE database containing data on all French compagnies.

python-snakemake-interface-report-plugins 1.1.0
Propagated dependencies: python-snakemake-interface-common@1.17.4 python-pytest@8.4.1
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/snakemake/python-snakemake-interface-report-plugins
Licenses: Expat
Build system: pyproject
Synopsis: Interface for Snakemake report plugins
Description:

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

python-snakemake-interface-executor-plugins 9.3.3
Propagated dependencies: python-argparse-dataclass@2.0.0 python-snakemake-interface-common@1.17.4 python-throttler@1.2.2
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/snakemake/python-snakemake-interface-executor-plugins
Licenses: Expat
Build system: pyproject
Synopsis: Interface for Snakemake executor plugins
Description:

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

snakemake 5.32.2
Propagated dependencies: python-appdirs@1.4.4 python-configargparse@1.7 python-datrie@0.8.3 python-docutils@0.21.2 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-ratelimiter@1.2.0.post1-0.59a0827 python-requests@2.32.5 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
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-pandera 0.26.1
Dependencies: python-dask@2024.12.1 python-distributed@2024.12.1 python-geopandas@1.1.1 python-hypothesis@6.135.26 python-modin@0.32.0 python-numpy@1.26.4 python-pandas@2.2.3 python-scipy@1.12.0 python-shapely@2.1.1
Propagated dependencies: python-packaging@25.0 python-pydantic@2.10.4 python-typeguard@4.4.4 python-typing-extensions@4.15.0 python-typing-inspect@0.9.0
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/unionai-oss/pandera
Licenses: Expat
Build system: pyproject
Synopsis: Perform data validation on dataframe-like objects
Description:

python-pandera provides a flexible and expressive API for performing data validation on dataframe-like objects to make data processing pipelines more readable and robust. Dataframes contain information that python-pandera explicitly validates at runtime. This is useful in production-critical data pipelines or reproducible research settings. With python-pandera, you can:

  • Define a schema once and use it to validate different dataframe types.

  • Check the types and properties of columns.

  • Perform more complex statistical validation like hypothesis testing.

  • Seamlessly integrate with existing data pipelines via function decorators.

  • Define dataframe models with the class-based API with pydantic-style syntax.

  • Synthesize data from schema objects for property-based testing.

  • Lazily validate dataframes so that all validation rules are executed.

  • Integrate with a rich ecosystem of tools like python-pydantic, python-fastapi and python-mypy.

python-pyzx 0.9.0
Propagated dependencies: python-ipywidgets@8.1.2 python-lark@1.2.2 python-numpy@1.26.4 python-pyperclip@1.9.0 python-tqdm@4.67.1
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/zxcalc/pyzx
Licenses: ASL 2.0
Build system: pyproject
Synopsis: Quantum circuit rewriting and optimisation using the ZX-calculus
Description:

PyZX is a Python tool implementing the theory of ZX-calculus for the creation, visualisation, and automated rewriting of large-scale quantum circuits. PyZX currently allows you to:

  • Read in quantum circuits in the file format of QASM, Quipper or Quantomatic;

  • Rewrite circuits into a pseudo-normal form using the ZX-calculus;

  • Extract new simplified circuits from these reduced graphs;

  • Visualise the ZX-graphs and rewrites using either Matplotlib, Quantomatic or as a TikZ file for use in LaTeX documents;

  • Output the optimised circuits in QASM, QC or QUIPPER format.

python-deepdish 0.3.7-0.3f2dff7
Propagated dependencies: python-numpy@1.26.4 python-scipy@1.12.0 python-six@1.17.0 python-tables@3.10.2
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/uchicago-cs/deepdish
Licenses: Modified BSD
Build system: pyproject
Synopsis: Python library for HDF5 file saving and loading
Description:

Deepdish is a Python library to load and save HDF5 files. The primary feature of deepdish is its ability to save and load all kinds of data as HDF5. It can save any Python data structure, offering the same ease of use as pickling or numpy.save, but with the language interoperability offered by HDF5.

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.

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