_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
python-aiohttp 3.11.11
Propagated dependencies: python-aiohappyeyeballs@2.6.1 python-aiosignal@1.4.0 python-async-timeout@5.0.1 python-attrs@25.3.0 python-frozenlist@1.3.3 python-multidict@6.1.0 python-propcache@0.2.1 python-yarl@1.18.3
Channel: guix
Location: gnu/packages/python-web.scm (gnu packages python-web)
Home page: https://github.com/aio-libs/aiohttp/
Licenses: ASL 2.0
Build system: pyproject
Synopsis: Async HTTP client/server framework (asyncio)
Description:

aiohttp is an asynchronous HTTP client/server framework.

Its main features are:

  • Supports both client and server side of HTTP protocol.

  • Supports both client and server Web-Sockets out-of-the-box without the Callback Hell.

  • Web-server has middlewares and pluggable routing.

python-globber 0.2.1
Channel: guix
Location: gnu/packages/python-xyz.scm (gnu packages python-xyz)
Home page: https://github.com/asharov/globber
Licenses: ASL 2.0
Build system: pyproject
Synopsis: Library for string matching with glob patterns
Description:

Globber is a Python library for matching file names against glob patterns. In contrast to other glob-matching libraries, it matches arbitrary strings and doesn't require the matched names to be existing files. In addition, it supports the globstar ** operator to match an arbitrary number of path components.

python2-pandas 0.24.2
Dependencies: which@2.21
Propagated dependencies: python2-dateutil@2.8.2 python2-numpy@1.16.6 python2-openpyxl@2.6.4 python-pytz@2025.1 python-xlrd@2.0.2
Channel: guix-past
Location: past/packages/python27.scm (past packages python27)
Home page: https://pandas.pydata.org
Licenses: Modified BSD
Build system: python
Synopsis: Data structures for data analysis, time series, and statistics
Description:

Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with structured (tabular, multidimensional, potentially heterogeneous) and time series data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python.

python-anndata 0.11.4
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-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-pystray 0.19.5
Propagated dependencies: python-pillow@11.1.0 python-six@1.17.0 python-xlib@0.33
Channel: guix
Location: gnu/packages/python-xyz.scm (gnu packages python-xyz)
Home page: https://github.com/moses-palmer/pystray
Licenses: LGPL 3+
Build system: pyproject
Synopsis: Create a system tray icon
Description:

This library allows you to create a system tray icon. It makes it possible to specify an icon, a title and a callback for when the icon is activated. The icon and title can be changed after the icon has been created, and the visibility of the icon can be toggled.

python-trimesh 4.5.3
Propagated dependencies: python-chardet@5.2.0 python-colorlog@6.9.0 python-httpx@0.28.1 python-jsonschema@4.23.0 python-lxml@6.0.1 python-meshio@5.3.5 python-networkx@3.4.2 python-numpy@1.26.4 python-pillow@11.1.0 python-psutil@7.0.0 python-pycollada@0.8 python-pyglet@2.0.18 python-requests@2.32.5 python-rtree@1.0.1 python-scikit-image@0.23.2 python-scipy@1.12.0 python-setuptools@80.9.0 python-shapely@2.1.1 python-sympy@1.13.3 python-xxhash@3.5.0
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/mikedh/trimesh
Licenses: Expat
Build system: pyproject
Synopsis: Python library for loading and using triangular meshes
Description:

Trimesh is a pure Python library for loading and using triangular meshes with an emphasis on watertight surfaces. The goal of the library is to provide a full featured and well tested Trimesh object which allows for easy manipulation and analysis, in the style of the Polygon object in the Shapely library.

python-pip-run 8.8.0
Propagated dependencies: python-autocommand@2.2.2 python-packaging@25.0 python-path@17.1.0 python-pip@25.1.1
Channel: guix
Location: gnu/packages/python-xyz.scm (gnu packages python-xyz)
Home page: https://github.com/jaraco/pip-run
Licenses: Expat
Build system: pyproject
Synopsis: Dynamic dependency loader for Python
Description:

The pip-run command provides on-demand temporary package installation for a single interpreter run. It replaces this series of commands:

$ virtualenv --python pythonX.X --system-site-packages /tmp/env
$ /tmp/env/bin/pip install pkg1 pkg2 -r reqs.txt
$ /tmp/env/bin/python ...
$ rm -rf /tmp/env
python-sqlglot 26.33.0
Channel: guix
Location: gnu/packages/python-xyz.scm (gnu packages python-xyz)
Home page: https://sqlglot.com/
Licenses: Expat
Build system: pyproject
Synopsis: Python SQL Parser and Transpiler
Description:

SQLGlot is a no-dependency SQL parser, transpiler, optimizer, and engine. It can be used to format SQL or translate between 31 different dialects like DuckDB, Presto / Trino, Spark / Databricks, Snowflake, and BigQuery. It aims to read a wide variety of SQL inputs and output syntactically and semantically correct SQL in the targeted dialects.

python-aiorpcx 0.25.0
Propagated dependencies: python-attrs@25.3.0 python-websockets@13.1
Channel: guix
Location: gnu/packages/python-web.scm (gnu packages python-web)
Home page: https://github.com/kyuupichan/aiorpcX
Licenses: Expat FreeBSD
Build system: pyproject
Synopsis: Generic asyncio RPC implementation
Description:

The aiorpcX library is a generic asyncio implementation of RPC suitable for an application that is a client, server or both.

The package includes a module with full coverage of JSON RPC versions 1.0 and 2.0, JSON RPC protocol auto-detection, and arbitrary message framing. It also comes with a SOCKS proxy client.

python-wcwidth 0.2.13
Channel: guix
Location: gnu/packages/python-xyz.scm (gnu packages python-xyz)
Home page: https://github.com/jquast/wcwidth
Licenses: Expat
Build system: pyproject
Synopsis: Measure number of terminal column cells of wide-character codes
Description:

Wcwidth measures the number of terminal column cells of wide-character codes. It is useful for those implementing a terminal emulator, or programs that carefully produce output to be interpreted by one. It is a Python implementation of the wcwidth and wcswidth C functions specified in POSIX.1-2001 and POSIX.1-2008.

python-minimal 3.11.14
Dependencies: expat@2.7.1 libffi@3.4.6 openssl@3.0.8 zlib@1.3.1
Channel: guix
Location: gnu/packages/python.scm (gnu packages python)
Home page: https://www.python.org
Licenses: Python Software Foundation License
Build system: gnu
Synopsis: High-level, dynamically-typed programming language
Description:

Python is a remarkably powerful dynamic programming language that is used in a wide variety of application domains. Some of its key distinguishing features include: clear, readable syntax; strong introspection capabilities; intuitive object orientation; natural expression of procedural code; full modularity, supporting hierarchical packages; exception-based error handling; and very high level dynamic data types.

python-pysaml2 7.5.4
Propagated dependencies: python-cryptography@44.0.0 python-dateutil@2.9.0 python-defusedxml@0.7.1 python-pymongo@4.14.0 python-pyopenssl@24.3.0 python-responses@0.25.3 python-requests@2.32.5 python-xmlschema@4.1.0 python-xmlsec@1.3.16
Channel: guix
Location: gnu/packages/python-xyz.scm (gnu packages python-xyz)
Home page: https://idpy.org
Licenses: ASL 2.0
Build system: pyproject
Synopsis: Python implementation of SAML Version 2 Standard
Description:

PySAML2 is a pure python implementation of SAML Version 2 Standard. It contains all necessary pieces for building a SAML2 service provider or an identity provider. The distribution contains examples of both.

This package was originally written to work in a WSGI environment, but there are extensions that allow you to use it with other frameworks.

python-tsfresh 0.21.1
Propagated dependencies: python-cloudpickle@3.1.0 python-dask@2024.12.1 python-distributed@2024.12.1 python-numpy@1.26.4 python-pandas@2.2.3 python-patsy@1.0.1 python-pywavelets@1.8.0 python-requests@2.32.5 python-scikit-learn@1.7.0 python-scipy@1.12.0 python-statsmodels@0.14.4 python-stumpy@1.13.0 python-tqdm@4.67.1
Channel: guix-science
Location: guix-science/packages/time-series.scm (guix-science packages time-series)
Home page: https://tsfresh.readthedocs.io/
Licenses: Expat
Build system: pyproject
Synopsis: Automatic extraction of relevant features from time series
Description:

The package provides systematic time-series feature extraction by combining established algorithms from statistics, time-series analysis, signal processing, and nonlinear dynamics with a robust feature selection algorithm. In this context, the term time-series is interpreted in the broadest possible sense, such that any types of sampled data or even event sequences can be characterised.

python-nibabel 5.3.2
Propagated dependencies: python-importlib-resources@6.5.2 python-numpy@1.26.4 python-packaging@25.0 python-typing-extensions@4.15.0
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://nipy.org/nibabel/
Licenses: Expat
Build system: pyproject
Synopsis: Read and write access to common neuroimaging file formats
Description:

nibabel is a library that provides read and write access to common neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2 and later), GIFTI, NIfTI1, NIfTI2, CIFTI-2, MINC1, MINC2, AFNI BRIK/HEAD, ECAT and Philips PAR/REC. In addition, NiBabel also supports FreeSurfer’s MGH, geometry, annotation and morphometry files, and provides some limited support for DICOM.

python-zconfig 4.0
Channel: guix
Location: gnu/packages/python-web.scm (gnu packages python-web)
Home page: https://github.com/zopefoundation/ZConfig/
Licenses: Zope Public License 2.1
Build system: pyproject
Synopsis: Structured configuration library intended for general use
Description:

zconfig is a configuration library intended for general use. It supports a hierarchical schema-driven configuration model that allows a schema to specify data conversion routines written in Python. Its model is very different from the model supported by the configparser module found in Python's standard library, and is more suitable to configuration-intensive applications.

python-rencode 1.0.8
Channel: guix
Location: gnu/packages/serialization.scm (gnu packages serialization)
Home page: https://github.com/aresch/rencode
Licenses: Modified BSD
Build system: pyproject
Synopsis: Serialization of heterogeneous data structures
Description:

The rencode module is a data structure serialization library, similar to bencode from the BitTorrent project. For complex, heterogeneous data structures with many small elements, r-encoding stake up significantly less space than b-encodings. This version of rencode is a complete rewrite in Cython to attempt to increase the performance over the pure Python module.

python-ufolib2 0.18.1
Propagated dependencies: python-attrs@25.3.0 python-fonttools@4.59.2
Channel: guix
Location: gnu/packages/fontutils.scm (gnu packages fontutils)
Home page: https://github.com/fonttools/ufoLib2
Licenses: ASL 2.0
Build system: pyproject
Synopsis: Unified Font Object (UFO) font processing library
Description:

The ufoLib2 Python library is meant to be a thin representation of the Unified Font Object (UFO) version 3 data model, intended for programmatic manipulation and fast batch processing of UFOs. It resembles the defcon library, but does without notifications, the layout engine and other support classes. Where useful and possible, ufoLib2 tries to be API-compatible with defcon.

python-whisper 1.1.8
Channel: guix
Location: gnu/packages/monitoring.scm (gnu packages monitoring)
Home page: https://graphiteapp.org/
Licenses: ASL 2.0
Build system: python
Synopsis: Fixed size round-robin style database for Graphite
Description:

Whisper is one of three components within the Graphite project. Whisper is a fixed-size database, similar in design and purpose to RRD (round-robin-database). It provides fast, reliable storage of numeric data over time. Whisper allows for higher resolution (seconds per point) of recent data to degrade into lower resolutions for long-term retention of historical data.

python-baycomp 1.0.3
Propagated dependencies: python-matplotlib@3.8.2 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/janezd/baycomp
Licenses: Expat
Build system: pyproject
Synopsis: Library for comparison of Bayesian classifiers
Description:

Baycomp is a library for Bayesian comparison of classifiers. Functions in the library compare two classifiers on one or on multiple data sets. They compute three probabilities: the probability that the first classifier has higher scores than the second, the probability that differences are within the region of practical equivalence (rope), or that the second classifier has higher scores.

python-pkginfo 1.12.1.2
Channel: guix
Location: gnu/packages/python-xyz.scm (gnu packages python-xyz)
Home page: https://code.launchpad.net/~tseaver/pkginfo/trunk
Licenses: Expat
Build system: pyproject
Synopsis: Query metadatdata from sdists, bdists, and installed packages
Description:

API to query the distutils metadata written in PKG-INFO inside a source distriubtion (an sdist) or a binary distribution (e.g., created by running bdist_egg). It can also query the EGG-INFO directory of an installed distribution, and the *.egg-info stored in a "development checkout" (e.g, created by running python setup.py develop).

python-tomlkit 0.13.3
Channel: guix
Location: gnu/packages/python-xyz.scm (gnu packages python-xyz)
Home page: https://github.com/sdispater/tomlkit
Licenses: Expat
Build system: pyproject
Synopsis: Style-preserving TOML library
Description:

TOML Kit is a 1.0.0rc1-compliant TOML library. It includes a parser that preserves all comments, indentations, whitespace and internal element ordering, and makes them accessible and editable via an intuitive API. It can also create new TOML documents from scratch using the provided helpers. Part of the implementation has been adapted, improved, and fixed from Molten.

python-pytorch 2.9.0
Dependencies: asmjit@0.0.0-2.cfc9f81 brotli@1.0.9 clog@0.0-5.b73ae6c concurrentqueue@1.0.3 cpp-httplib@0.20.0 eigen@3.4.0 flatbuffers@24.12.23 fmt@9.1.0 fp16@0.0-1.0a92994 fxdiv@0.0-1.63058ef gemmlowp@0.1-2.16e8662 gloo@0.0.0-4.54cbae0 googletest@1.12.1 googlebenchmark@1.9.1 libuv@1.44.2 miniz@pytorch-2.7.0 oneapi-dnnl@3.5.3 openblas@0.3.30 openmpi@4.1.6 openssl@3.0.8 pthreadpool@0.1-3.560c60d protobuf@3.21.9 pybind11@2.13.6 qnnpack-pytorch@pytorch-2.9.0 rdma-core@60.0 sleef@3.6.1 tensorpipe@0-0.bb1473a vulkan-headers@1.4.321.0 vulkan-loader@1.4.321.0 vulkan-memory-allocator@3.3.0 xnnpack@0.0-4.51a0103 zlib@1.3.1 zstd@1.5.6
Propagated dependencies: cpuinfo@0.0-5.b73ae6c onnx@1.17.0 onnx-optimizer@0.3.19 python-astunparse@1.6.3 python-click@8.1.8 python-filelock@3.16.1 python-fsspec@2025.9.0 python-future@1.0.0 python-jinja2@3.1.2 python-networkx@3.4.2 python-numpy@1.26.4 python-opt-einsum@3.3.0 python-optree@0.14.0 python-packaging@25.0 python-psutil@7.0.0 python-pyyaml@6.0.2 python-requests@2.32.5 python-sympy@1.13.3 python-typing-extensions@4.15.0
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://pytorch.org/
Licenses: Modified BSD
Build system: python
Synopsis: Python library for tensor computation and deep neural networks
Description:

PyTorch is a Python package that provides two high-level features:

  • tensor computation (like NumPy) with strong GPU acceleration;

  • deep neural networks (DNNs) built on a tape-based autograd system.

You can reuse Python packages such as NumPy, SciPy, and Cython to extend PyTorch when needed.

Note: currently this package does not provide GPU support.

python-pytorch 2.7.1
Dependencies: asmjit@0.0.0-2.cfc9f81 brotli@1.0.9 clog@0.0-5.b73ae6c concurrentqueue@1.0.3 cpp-httplib@0.20.0 eigen@3.4.0 flatbuffers@24.12.23 fmt@9.1.0 fp16@0.0-1.0a92994 fxdiv@0.0-1.63058ef gemmlowp@0.1-2.16e8662 gloo@0.0.0-2.81925d1 googletest@1.12.1 googlebenchmark@1.9.1 libuv@1.44.2 miniz@pytorch-2.7.0 oneapi-dnnl@3.5.3 openblas@0.3.30 openmpi@4.1.6 openssl@3.0.8 pthreadpool@0.1-3.560c60d protobuf@3.21.9 pybind11@2.13.6 qnnpack-pytorch@pytorch-2.9.0 rdma-core@60.0 sleef@3.6.1 tensorpipe@0-0.bb1473a vulkan-headers@1.4.321.0 vulkan-loader@1.4.321.0 vulkan-memory-allocator@3.3.0 xnnpack@0.0-4.51a0103 zlib@1.3.1 zstd@1.5.6
Propagated dependencies: cpuinfo@0.0-5.b73ae6c onnx@1.17.0 onnx-optimizer@0.3.19 python-astunparse@1.6.3 python-click@8.1.8 python-filelock@3.16.1 python-fsspec@2025.9.0 python-future@1.0.0 python-jinja2@3.1.2 python-networkx@3.4.2 python-numpy@1.26.4 python-opt-einsum@3.3.0 python-optree@0.14.0 python-packaging@25.0 python-psutil@7.0.0 python-pyyaml@6.0.2 python-requests@2.32.5 python-sympy@1.13.3 python-typing-extensions@4.15.0
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://pytorch.org/
Licenses: Modified BSD
Build system: python
Synopsis: Python library for tensor computation and deep neural networks
Description:

PyTorch is a Python package that provides two high-level features:

  • tensor computation (like NumPy) with strong GPU acceleration;

  • deep neural networks (DNNs) built on a tape-based autograd system.

You can reuse Python packages such as NumPy, SciPy, and Cython to extend PyTorch when needed.

Note: currently this package does not provide GPU support.

Total results: 4222