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    <title>anaconda.org/main</title>
    <link>https://conda.anaconda.org/main</link>
    <description>The most recent 100 updates for main.</description>
    <pubDate>Fri, 09 Oct 2026 14:05:58 GMT</pubDate>
    <lastBuildDate>Fri, 09 Oct 2026 14:05:58 GMT</lastBuildDate>
    <item>
      <title>awscli 2.37.5 [linux-64, linux-aarch64, linux-s390x, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>This package provides a unified command line interface to Amazon Web Services.</description>
      <link>https://aws.amazon.com/cli</link>
      <comments>https://github.com/aws/aws-cli/tree/v2</comments>
      <guid>https://github.com/aws/aws-cli/archive/2.37.5.tar.gz</guid>
      <pubDate>Fri, 09 Oct 2026 12:51:35 GMT</pubDate>
      <source>https://aws.amazon.com/cli</source>
    </item>
    <item>
      <title>jupyterhub-singleuser 6.0.1 [linux-64, linux-aarch64, linux-ppc64le, osx-64, osx-arm64, win-64]</title>
      <description>With JupyterHub you can create a multi-user Hub that spawns, manages, and proxies multiple instances of the single-user Jupyter notebook server.</description>
      <link>https://jupyterhub.readthedocs.io</link>
      <comments>https://github.com/jupyterhub/jupyterhub</comments>
      <guid>https://pypi.org/packages/source/j/jupyterhub/jupyterhub-6.0.1.tar.gz</guid>
      <pubDate>Fri, 09 Oct 2026 09:40:46 GMT</pubDate>
      <source>https://hub.jupyter.org</source>
    </item>
    <item>
      <title>jupyterhub 6.0.1 [linux-32, linux-64, linux-aarch64, linux-ppc64le, linux-s390x, noarch, osx-64, osx-arm64, win-64]</title>
      <description>With JupyterHub you can create a multi-user Hub that spawns, manages, and proxies multiple instances of the single-user Jupyter notebook server.</description>
      <link>https://jupyterhub.readthedocs.io</link>
      <comments>https://github.com/jupyterhub/jupyterhub</comments>
      <guid>https://pypi.org/packages/source/j/jupyterhub/jupyterhub-6.0.1.tar.gz</guid>
      <pubDate>Fri, 09 Oct 2026 09:40:26 GMT</pubDate>
      <source>https://hub.jupyter.org</source>
    </item>
    <item>
      <title>cfn-lint 1.57.1 [linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-32, win-64]</title>
      <description>Validate CloudFormation yaml/json templates against the CloudFormation spec and additional checks. Includes checking valid values for resource properties and best practices.</description>
      <link>https://github.com/aws-cloudformation/cfn-lint/tree/main/docs/getting_started</link>
      <comments>https://github.com/aws-cloudformation/cfn-lint</comments>
      <guid>https://github.com/aws-cloudformation/cfn-lint/archive/refs/tags/v1.57.1.tar.gz</guid>
      <pubDate>Fri, 09 Oct 2026 07:56:10 GMT</pubDate>
      <source>https://github.com/aws-cloudformation/cfn-lint</source>
    </item>
    <item>
      <title>s3fs 2026.9.0 [linux-32, linux-64, linux-aarch64, linux-ppc64le, linux-s390x, noarch, osx-64, osx-arm64, win-32, win-64]</title>
      <description>S3FS builds on aiobotocore to provide a convenient Python filesystem interface for S3.</description>
      <link>https://s3fs.readthedocs.io</link>
      <comments>https://github.com/fsspec/s3fs</comments>
      <guid>https://pypi.org/packages/source/s/s3fs/s3fs-2026.9.0.tar.gz</guid>
      <pubDate>Fri, 09 Oct 2026 07:40:13 GMT</pubDate>
      <source>https://s3fs.readthedocs.io</source>
    </item>
    <item>
      <title>qtimageformats 6.12.0 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>Qt helps you create connected devices, UIs &amp; applications that run anywhere on any device, on any operating system at any time (imageformats libraries).</description>
      <link>https://doc.qt.io</link>
      <comments>https://github.com/qt/qtimageformats</comments>
      <pubDate>Thu, 08 Oct 2026 20:04:01 GMT</pubDate>
      <source>https://www.qt.io</source>
    </item>
    <item>
      <title>llama.cpp-tools 0.6.0 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>Scripts and conversion tools that ship with llama.cpp, including model vocabulary files and templates</description>
      <link>https://github.com/ggml-org/llama.cpp</link>
      <comments>https://github.com/ggml-org/llama.cpp</comments>
      <guid>https://github.com/ggml-org/llama.cpp/archive/v0.6.0.tar.gz</guid>
      <pubDate>Thu, 08 Oct 2026 20:01:48 GMT</pubDate>
      <source>https://github.com/ggml-org/llama.cpp</source>
    </item>
    <item>
      <title>llama.cpp-tests 0.6.0 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>Test executables for llama.cpp</description>
      <link>https://github.com/ggml-org/llama.cpp</link>
      <comments>https://github.com/ggml-org/llama.cpp</comments>
      <guid>https://github.com/ggml-org/llama.cpp/archive/v0.6.0.tar.gz</guid>
      <pubDate>Thu, 08 Oct 2026 19:50:08 GMT</pubDate>
      <source>https://github.com/ggml-org/llama.cpp</source>
    </item>
    <item>
      <title>llama.cpp 0.6.0 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>Server example and tools for llama.cpp, using libllama</description>
      <link>https://github.com/ggml-org/llama.cpp</link>
      <comments>https://github.com/ggml-org/llama.cpp</comments>
      <guid>https://github.com/ggml-org/llama.cpp/archive/v0.6.0.tar.gz</guid>
      <pubDate>Thu, 08 Oct 2026 19:48:28 GMT</pubDate>
      <source>https://github.com/ggml-org/llama.cpp</source>
    </item>
    <item>
      <title>libllama 0.6.0 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>Inference of Meta's LLaMA model (and others) in pure C/C++</description>
      <link>https://github.com/ggml-org/llama.cpp</link>
      <comments>https://github.com/ggml-org/llama.cpp</comments>
      <guid>https://github.com/ggml-org/llama.cpp/archive/v0.6.0.tar.gz</guid>
      <pubDate>Thu, 08 Oct 2026 19:46:32 GMT</pubDate>
      <source>https://github.com/ggml-org/llama.cpp</source>
    </item>
    <item>
      <title>hvplot 0.12.2 [linux-64, linux-aarch64, linux-ppc64le, linux-s390x, noarch, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews</description>
      <link>https://hvplot.holoviz.org</link>
      <comments>https://github.com/holoviz/hvplot</comments>
      <guid>https://pypi.org/packages/source/h/hvplot/hvplot-0.12.2.tar.gz</guid>
      <pubDate>Thu, 08 Oct 2026 19:22:53 GMT</pubDate>
      <source>https://hvplot.holoviz.org</source>
    </item>
    <item>
      <title>llama-swap 262 [linux-64, linux-aarch64, osx-arm64, win-64, win-arm64]</title>
      <description>llama-swap is a lightweight, transparent proxy server for local LLM inference engines like llama.cpp, vllm, and others. It watches your OpenAI/Anthropic-compatible requests, automatically swaps the underlying model / engine / flags based on the request, and forwards the traffic — letting a single endpoint serve many models with different runtime configurations. Ships with an embedded Svelte web UI for monitoring.</description>
      <link>https://github.com/mostlygeek/llama-swap/tree/main/docs</link>
      <comments>https://github.com/mostlygeek/llama-swap</comments>
      <guid>https://github.com/mostlygeek/llama-swap/archive/refs/tags/v251.tar.gz</guid>
      <pubDate>Thu, 08 Oct 2026 19:15:11 GMT</pubDate>
      <source>https://github.com/mostlygeek/llama-swap</source>
    </item>
    <item>
      <title>fsspec 2026.9.0 [linux-64, linux-aarch64, linux-ppc64le, linux-s390x, noarch, osx-64, osx-arm64, win-32, win-64, win-arm64]</title>
      <description>To produce a template or specification for a file-system interface, that specific implementations should follow, so that applications making use of them can rely on a common behaviour and not have to worry about the specific internal implementation decisions with any given backend.</description>
      <link>https://filesystem-spec.readthedocs.io</link>
      <comments>https://github.com/fsspec/filesystem_spec</comments>
      <guid>https://github.com/fsspec/filesystem_spec/archive/refs/tags/2026.9.0.tar.gz</guid>
      <pubDate>Thu, 08 Oct 2026 18:52:42 GMT</pubDate>
      <source>https://github.com/fsspec/filesystem_spec</source>
    </item>
    <item>
      <title>holoviews 1.23.2 [linux-32, linux-64, linux-aarch64, linux-ppc64le, noarch, osx-64, osx-arm64, win-32, win-64, win-arm64]</title>
      <description>HoloViews is an open-source Python library designed to make data analysis and visualization seamless and simple. With HoloViews, you can usually express what you want to do in very few lines of code, letting you focus on what you are trying to explore and convey, not on the process of plotting.</description>
      <link>https://holoviews.org</link>
      <comments>https://github.com/holoviz/holoviews</comments>
      <guid>https://pypi.org/packages/source/h/holoviews/holoviews-1.23.2.tar.gz</guid>
      <pubDate>Thu, 08 Oct 2026 18:44:43 GMT</pubDate>
      <source>https://holoviews.org</source>
    </item>
    <item>
      <title>qttools 6.12.0 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>Qt helps you create connected devices, UIs &amp; applications that run anywhere on any device, on any operating system at any time (tools libraries).</description>
      <link>https://doc.qt.io</link>
      <comments>https://github.com/qt/qttools</comments>
      <pubDate>Thu, 08 Oct 2026 17:54:44 GMT</pubDate>
      <source>https://www.qt.io</source>
    </item>
    <item>
      <title>pywr 1.31.1 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>Pywr is a tool for solving network resource allocation problems at discrete timesteps using a linear programming approach. It's principal application is in resource allocation in water supply networks, although other uses are conceivable. It uses Cython extensions for computational efficiency.</description>
      <link>https://pywr.github.io/pywr</link>
      <comments>https://github.com/pywr/pywr</comments>
      <guid>https://pypi.org/packages/source/p/pywr/pywr-1.31.1.tar.gz</guid>
      <pubDate>Thu, 08 Oct 2026 17:47:08 GMT</pubDate>
      <source>https://github.com/pywr/pywr</source>
    </item>
    <item>
      <title>qt5compat 6.12.0 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>Qt helps you create connected devices, UIs &amp; applications that run anywhere on any device, on any operating system at any time (5compat libraries).</description>
      <link>https://doc.qt.io</link>
      <comments>https://github.com/qt/qt5compat</comments>
      <pubDate>Thu, 08 Oct 2026 17:46:20 GMT</pubDate>
      <source>https://www.qt.io</source>
    </item>
    <item>
      <title>requests 2.34.2 [linux-32, linux-64, linux-aarch64, linux-ppc64le, linux-s390x, noarch, osx-64, osx-arm64, win-32, win-64, win-arm64]</title>
      <description>Requests is the only Non-GMO HTTP library for Python, safe for human consumption.</description>
      <link>https://requests.readthedocs.io</link>
      <comments>https://github.com/psf/requests</comments>
      <guid>https://pypi.org/packages/source/r/requests/requests-2.34.2.tar.gz</guid>
      <pubDate>Thu, 08 Oct 2026 17:44:58 GMT</pubDate>
      <source>https://requests.readthedocs.io</source>
    </item>
    <item>
      <title>sip 6.17.0 [linux-32, linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-32, win-64, win-arm64]</title>
      <description>SIP is a collection of tools that makes it very easy to create Python bindings for C and C++ libraries. It was originally developed in 1998 to create PyQt, the Python bindings for the Qt toolkit, but can be used to create bindings for any C or C++ library. For example it is also used to generate wxPython, the Python bindings for wxWidgets.</description>
      <link>https://python-sip.readthedocs.io</link>
      <comments>https://github.com/Python-SIP/sip</comments>
      <guid>https://pypi.org/packages/source/s/sip/sip-6.17.0.tar.gz</guid>
      <pubDate>Thu, 08 Oct 2026 17:44:42 GMT</pubDate>
      <source>https://pypi.org/project/sip</source>
    </item>
    <item>
      <title>crcmod 1.7 [linux-64, linux-aarch64, osx-arm64, win-64, win-arm64]</title>
      <description>Python module for generating objects that compute the Cyclic Redundancy Check (CRC)</description>
      <link>https://crcmod.sourceforge.net/</link>
      <comments>https://sourceforge.net/projects/crcmod/</comments>
      <guid>https://pypi.io/packages/source/c/crcmod/crcmod-1.7.tar.gz</guid>
      <pubDate>Thu, 08 Oct 2026 17:44:15 GMT</pubDate>
      <source>https://crcmod.sourceforge.net/</source>
    </item>
    <item>
      <title>qtwebchannel 6.12.0 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>Qt helps you create connected devices, UIs &amp; applications that run anywhere on any device, on any operating system at any time (webchannel libraries).</description>
      <link>https://doc.qt.io</link>
      <comments>https://github.com/qt/qtwebchannel</comments>
      <pubDate>Thu, 08 Oct 2026 17:44:00 GMT</pubDate>
      <source>https://www.qt.io</source>
    </item>
    <item>
      <title>flake8 7.4.1 [linux-32, linux-64, linux-aarch64, linux-ppc64le, linux-s390x, noarch, osx-64, osx-arm64, win-32, win-64, win-arm64]</title>
      <description>Flake8 runs all the tools by launching the single flake8 command. It displays the warnings in a per-file, merged output.</description>
      <link>https://flake8.pycqa.org/</link>
      <comments>https://github.com/PyCQA/flake8</comments>
      <guid>https://github.com/PyCQA/flake8/archive/refs/tags/7.4.1.tar.gz</guid>
      <pubDate>Thu, 08 Oct 2026 17:43:44 GMT</pubDate>
      <source>https://flake8.pycqa.org</source>
    </item>
    <item>
      <title>pipcl 13 [linux-64, linux-aarch64, osx-arm64, win-64, win-arm64]</title>
      <description>Python packaging operations, including PEP-517 support, for use by a setup.py script.</description>
      <link>https://github.com/ArtifexSoftware/pipcl/blob/v13/README.rst</link>
      <comments>https://github.com/ArtifexSoftware/pipcl</comments>
      <guid>https://pypi.org/packages/source/p/pipcl/pipcl-13.tar.gz</guid>
      <pubDate>Thu, 08 Oct 2026 17:42:14 GMT</pubDate>
      <source>https://github.com/ArtifexSoftware/pipcl</source>
    </item>
    <item>
      <title>perl-file-sharedir-install 0.14 [linux-64, linux-aarch64, osx-arm64, win-64, win-arm64]</title>
      <description>File::ShareDir::Install installs shared files for Perl distributions (CPAN `File::ShareDir::Install`).</description>
      <link>https://metacpan.org/pod/File::ShareDir::Install</link>
      <comments>https://github.com/Perl-Toolchain-Gang/File-ShareDir-Install</comments>
      <guid>https://cpan.metacpan.org/authors/id/E/ET/ETHER/File-ShareDir-Install-0.14.tar.gz</guid>
      <pubDate>Thu, 08 Oct 2026 17:11:05 GMT</pubDate>
      <source>https://github.com/Perl-Toolchain-Gang/File-ShareDir-Install</source>
    </item>
    <item>
      <title>panel-material-ui 0.16.0 [linux-64, linux-aarch64, osx-arm64, win-64, win-arm64]</title>
      <description>Panel Material UI is a modern theming and component library that brings the design system of Material UI to Panel-based dashboards and data applications. It provides a consistent look and feel, seamless dark-mode support, and full theming via Material UI's theme system (palette, typography, spacing). The library includes a rich set of ready-to-use UI components—such as buttons, sliders, cards, dialogs, menus, and grids—that integrate smoothly with Panel's layout and reactive model. With Panel Material UI, you can build modern, responsive, and branded dashboards in Python while leveraging Panel's ecosystem.</description>
      <link>https://panel-material-ui.holoviz.org</link>
      <comments>https://github.com/panel-extensions/panel-material-ui</comments>
      <guid>https://pypi.org/packages/source/p/panel-material-ui/panel_material_ui-0.16.0.tar.gz</guid>
      <pubDate>Thu, 08 Oct 2026 17:07:20 GMT</pubDate>
      <source>https://panel-material-ui.holoviz.org</source>
    </item>
    <item>
      <title>lp_solve 5.5.2.11 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>lp_solve is a free linear (integer) programming solver based on the revised simplex method and the branch-and-bound method for the integers. It supports MPS and LP file formats and can be used as a library (lpsolve55) or via the lp_solve command-line front-end.</description>
      <link>https://lpsolve.sourceforge.net/5.5</link>
      <comments>https://sourceforge.net/projects/lpsolve</comments>
      <guid>https://sourceforge.net/projects/lpsolve/files/lpsolve/5.5.2.11/lp_solve_5.5.2.11_source.tar.gz</guid>
      <pubDate>Thu, 08 Oct 2026 17:01:45 GMT</pubDate>
      <source>https://lpsolve.sourceforge.net/5.5</source>
    </item>
    <item>
      <title>opentelemetry-instrumentation-tornado 0.64b0 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>Tornado instrumentation for OpenTelemetry</description>
      <link>https://opentelemetry-python-contrib.readthedocs.io/en/latest/instrumentation/tornado/tornado.html</link>
      <comments>https://github.com/open-telemetry/opentelemetry-python-contrib/tree/main/instrumentation/opentelemetry-instrumentation-tornado</comments>
      <guid>https://files.pythonhosted.org/packages/source/o/opentelemetry-instrumentation-tornado/opentelemetry_instrumentation_tornado-0.64b0.tar.gz</guid>
      <pubDate>Thu, 08 Oct 2026 16:51:22 GMT</pubDate>
      <source>https://github.com/open-telemetry/opentelemetry-python-contrib/tree/main/instrumentation/opentelemetry-instrumentation-tornado</source>
    </item>
    <item>
      <title>panel 1.9.4 [linux-64, linux-aarch64, linux-ppc64le, noarch, osx-64, osx-arm64, win-32, win-64, win-arm64]</title>
      <description>Panel provides tools for easily composing widgets, plots, tables, and other viewable objects and controls into control panels, apps, and dashboards.</description>
      <link>https://panel.holoviz.org</link>
      <comments>https://github.com/holoviz/panel</comments>
      <guid>https://pypi.org/packages/source/p/panel/panel-1.9.4.tar.gz</guid>
      <pubDate>Thu, 08 Oct 2026 16:27:20 GMT</pubDate>
      <source>https://panel.holoviz.org</source>
    </item>
    <item>
      <title>xarray 2026.9.0 [linux-32, linux-64, linux-aarch64, linux-ppc64le, linux-s390x, noarch, osx-64, osx-arm64, win-32, win-64]</title>
      <description>xarray (formerly xray) is an open source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun!  xarray introduces labels in the form of dimensions, coordinates and attributes on top of raw NumPy_-like arrays, which allows for a more intuitive, more concise, and less error-prone developer experience. The package includes a large and growing library of domain-agnostic functions for advanced analytics and visualization with these data structures.  xarray was inspired by and borrows heavily from pandas_, the popular data analysis package focused on labelled tabular data. It is particularly tailored to working with netCDF_ files, which were the source of xarray's data model, and integrates tightly with dask_ for parallel computing.</description>
      <link>https://docs.xarray.dev</link>
      <comments>https://github.com/pydata/xarray</comments>
      <guid>https://pypi.org/packages/source/x/xarray/xarray-2026.9.0.tar.gz</guid>
      <pubDate>Thu, 08 Oct 2026 12:09:02 GMT</pubDate>
      <source>https://xarray.dev</source>
    </item>
    <item>
      <title>jupyter-server-proxy 4.6.0 [linux-64, linux-aarch64, linux-ppc64le, osx-64, osx-arm64, win-64]</title>
      <description>Jupyter Server Proxy lets you run arbitrary external processes (such as RStudio, Shiny Server, syncthing, PostgreSQL, etc) alongside your notebook, and provide authenticated web access to them.</description>
      <link>https://jupyter-server-proxy.readthedocs.io</link>
      <comments>https://github.com/jupyterhub/jupyter-server-proxy</comments>
      <guid>https://pypi.org/packages/source/j/jupyter-server-proxy/jupyter_server_proxy-4.6.0.tar.gz</guid>
      <pubDate>Thu, 08 Oct 2026 11:04:17 GMT</pubDate>
      <source>https://github.com/jupyterhub/jupyter-server-proxy</source>
    </item>
    <item>
      <title>outerbounds 0.12.52 [linux-64, linux-aarch64, osx-arm64]</title>
      <description>outerbounds provides the command-line interface and client package for the Outerbounds platform.</description>
      <link>https://docs.metaflow.org</link>
      <comments>https://github.com/outerbounds/ob-packages/tree/master/obp-python-packages/outerbounds</comments>
      <pubDate>Thu, 08 Oct 2026 07:54:57 GMT</pubDate>
      <source>https://github.com/outerbounds/ob-packages/tree/master/obp-python-packages/outerbounds</source>
    </item>
    <item>
      <title>panel-core 1.9.4 [linux-64, linux-aarch64, osx-arm64, win-64, win-arm64]</title>
      <description>Panel provides tools for easily composing widgets, plots, tables, and other viewable objects and controls into control panels, apps, and dashboards.</description>
      <link>https://panel.holoviz.org</link>
      <comments>https://github.com/holoviz/panel</comments>
      <guid>https://pypi.org/packages/source/p/panel/panel-1.9.4.tar.gz</guid>
      <pubDate>Thu, 08 Oct 2026 02:22:36 GMT</pubDate>
      <source>https://panel.holoviz.org</source>
    </item>
    <item>
      <title>mypyc 2.4.0 [linux-64, linux-aarch64, linux-s390x, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>Add type annotations to your Python programs, and use mypy to type check them. Mypy is essentially a Python linter on steroids, and it can catch many programming errors by analyzing your program, withoutactually having to run it.  Mypy has a powerful type system with features such as type inference, gradual typing, generics and union types.</description>
      <link>https://mypy.readthedocs.io</link>
      <comments>https://github.com/python/mypy</comments>
      <guid>https://pypi.org/packages/source/m/mypy/mypy-2.4.0.tar.gz</guid>
      <pubDate>Wed, 07 Oct 2026 22:45:09 GMT</pubDate>
      <source>https://www.mypy-lang.org</source>
    </item>
    <item>
      <title>mypy 2.4.0 [linux-32, linux-64, linux-aarch64, linux-ppc64le, linux-s390x, noarch, osx-64, osx-arm64, win-32, win-64, win-arm64]</title>
      <description>Add type annotations to your Python programs, and use mypy to type check them. Mypy is essentially a Python linter on steroids, and it can catch many programming errors by analyzing your program, withoutactually having to run it.  Mypy has a powerful type system with features such as type inference, gradual typing, generics and union types.</description>
      <link>https://mypy.readthedocs.io</link>
      <comments>https://github.com/python/mypy</comments>
      <guid>https://pypi.org/packages/source/m/mypy/mypy-2.4.0.tar.gz</guid>
      <pubDate>Wed, 07 Oct 2026 22:44:27 GMT</pubDate>
      <source>https://www.mypy-lang.org</source>
    </item>
    <item>
      <title>nanobind-abi 20 [linux-64, linux-aarch64, noarch, osx-arm64, win-64, win-arm64]</title>
      <description>nanobind is a small binding library that exposes C++ types in Python and vice versa. It is reminiscent of Boost.Python and pybind11 and uses near-identical syntax. In contrast to these existing tools, nanobind is more efficient: bindings compile in a shorter amount of time, producing smaller binaries with better runtime performance.</description>
      <link>https://github.com/wjakob/nanobind/tree/master/docs</link>
      <comments>https://github.com/wjakob/nanobind</comments>
      <guid>https://pypi.io/packages/source/n/nanobind/nanobind-2.5.0.tar.gz</guid>
      <pubDate>Wed, 07 Oct 2026 22:27:30 GMT</pubDate>
      <source>https://github.com/wjakob/nanobind</source>
    </item>
    <item>
      <title>cftime 1.6.6 [linux-32, linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-32, win-64, win-arm64]</title>
      <description>Time-handling functionality from netcdf4-python</description>
      <link>https://github.com/Unidata/cftime</link>
      <comments>https://github.com/Unidata/cftime</comments>
      <guid>https://pypi.org/packages/source/c/cftime/cftime-1.6.6.tar.gz</guid>
      <pubDate>Wed, 07 Oct 2026 22:26:24 GMT</pubDate>
      <source>https://github.com/Unidata/cftime</source>
    </item>
    <item>
      <title>anaconda-opentelemetry 1.3.0 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>Anaconda's OpenTelemetry Instrumentation Libraries</description>
      <link>https://github.com/anaconda/anaconda-otel-python</link>
      <comments>https://github.com/anaconda/anaconda-otel-python</comments>
      <guid>https://github.com/anaconda/anaconda-otel-python/archive/refs/tags/v1.3.0.tar.gz</guid>
      <pubDate>Wed, 07 Oct 2026 22:25:00 GMT</pubDate>
      <source>https://github.com/anaconda/anaconda-otel-python</source>
    </item>
    <item>
      <title>soxr-python 1.1.0 [linux-64, linux-aarch64, osx-arm64, win-64, win-arm64]</title>
      <description>Python-SoXR is a Python wrapper of the libsoxr resampling library. It provides fast, high quality, one-dimensional sample-rate conversion for audio and other signals as NumPy arrays.</description>
      <link>https://python-soxr.readthedocs.io</link>
      <comments>https://github.com/dofuuz/python-soxr</comments>
      <guid>https://pypi.org/packages/source/s/soxr/soxr-1.1.0.tar.gz</guid>
      <pubDate>Wed, 07 Oct 2026 22:22:48 GMT</pubDate>
      <source>https://github.com/dofuuz/python-soxr</source>
    </item>
    <item>
      <title>srsly 2.5.4 [linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-32, win-64, win-arm64]</title>
      <description>This package bundles some of the best Python serialization libraries into one standalone package, with a high-level API that makes it easy to write code that's correct across platforms and Pythons. This allows us to provide all the serialization utilities we need in a single binary wheel. Currently supports JSON, JSONL, MessagePack, Pickle and YAML.</description>
      <link>https://github.com/explosion/srsly/blob/master/README.md</link>
      <comments>https://github.com/explosion/srsly</comments>
      <guid>https://pypi.org/packages/source/s/srsly/srsly-2.5.4.tar.gz</guid>
      <pubDate>Wed, 07 Oct 2026 21:20:23 GMT</pubDate>
      <source>https://github.com/explosion/srsly</source>
    </item>
    <item>
      <title>qtwebsockets 6.12.0 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>Qt helps you create connected devices, UIs &amp; applications that run anywhere on any device, on any operating system at any time (websockets libraries).</description>
      <link>https://doc.qt.io</link>
      <comments>https://github.com/qt/qtwebsockets</comments>
      <pubDate>Wed, 07 Oct 2026 21:16:07 GMT</pubDate>
      <source>https://www.qt.io</source>
    </item>
    <item>
      <title>mkl-service 2.9.0 [linux-32, linux-64, osx-64, win-32, win-64]</title>
      <description>Intel(R) Math Kernel Library (Intel(R) MKL) support functions are subdivided into the following groups according to their purpose, such as Version Information, Threading Control, Timing, Memory Management, Conditional Numerical Reproducibility Control, and Miscellaneous.</description>
      <link>https://github.com/IntelPython/mkl-service</link>
      <comments>https://github.com/IntelPython/mkl-service</comments>
      <guid>https://github.com/IntelPython/mkl-service/archive/refs/tags/2.9.0.tar.gz</guid>
      <pubDate>Wed, 07 Oct 2026 20:35:57 GMT</pubDate>
      <source>https://github.com/IntelPython/mkl-service</source>
    </item>
    <item>
      <title>mkl_random 1.5.0 [linux-32, linux-64, osx-64, win-32, win-64]</title>
      <description>NumPy-based implementation of random number generation sampling using Intel (R) Math Kernel Library, mirroring numpy.random, but exposing all choices of sampling algorithms available in MKL.</description>
      <link>https://github.com/IntelPython/mkl_random</link>
      <comments>https://github.com/IntelPython/mkl_random</comments>
      <guid>https://github.com/IntelPython/mkl_random/archive/1.5.0.tar.gz</guid>
      <pubDate>Wed, 07 Oct 2026 20:35:54 GMT</pubDate>
      <source>https://github.com/IntelPython/mkl_random</source>
    </item>
    <item>
      <title>cython 3.3.0 [linux-32, linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-32, win-64, win-arm64]</title>
      <description>Cython is an optimising static compiler for both the Python programming language and the extended Cython programming language. It makes writing C extensions for Python as easy as Python itself.</description>
      <link>https://cython.readthedocs.io</link>
      <comments>https://github.com/cython/cython</comments>
      <guid>https://pypi.org/packages/source/c/cython/cython-3.3.0.tar.gz</guid>
      <pubDate>Wed, 07 Oct 2026 19:47:34 GMT</pubDate>
      <source>https://cython.org</source>
    </item>
    <item>
      <title>awscrt 0.37.0 [linux-64, linux-aarch64, linux-s390x, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>Python 3 bindings for the AWS Common Runtime.</description>
      <link>https://awslabs.github.io/aws-crt-python</link>
      <comments>https://github.com/awslabs/aws-crt-python</comments>
      <guid>https://pypi.org/packages/source/a/awscrt/awscrt-0.37.0.tar.gz</guid>
      <pubDate>Wed, 07 Oct 2026 19:47:11 GMT</pubDate>
      <source>https://github.com/awslabs/aws-crt-python</source>
    </item>
    <item>
      <title>multidict 7.0.0 [linux-32, linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-32, win-64, win-arm64]</title>
      <description>Multidicts are useful for working with HTTP headers, URL query args etc.</description>
      <link>https://multidict.aio-libs.org</link>
      <comments>https://github.com/aio-libs/multidict</comments>
      <guid>https://pypi.org/packages/source/m/multidict/multidict-7.0.0.tar.gz</guid>
      <pubDate>Wed, 07 Oct 2026 19:45:04 GMT</pubDate>
      <source>https://github.com/aio-libs/multidict</source>
    </item>
    <item>
      <title>sentencepiece 0.2.2 [linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-32, win-64, win-arm64]</title>
      <description>SentencePiece is an unsupervised text tokenizer and detokenizer mainly for Neural Network-based text generation systems where the vocabulary size is predetermined prior to the neural model training. SentencePiece implements subword units (e.g., byte-pair-encoding (BPE) [[Sennrich et al.](http://www.aclweb.org/anthology/P16-1162)]) and unigram language model [[Kudo](https://arxiv.org/abs/1804.109590)]) with the extension of direct training from raw sentences. SentencePiece allows us to make a purely end-to-end system that does not depend on language-specific pre/postprocessing.</description>
      <link>https://github.com/google/sentencepiece/blob/master/doc/api.md</link>
      <comments>https://github.com/google/sentencepiece</comments>
      <guid>https://github.com/google/sentencepiece/archive/refs/tags/v0.2.2.tar.gz</guid>
      <pubDate>Wed, 07 Oct 2026 19:44:03 GMT</pubDate>
      <source>https://github.com/google/sentencepiece</source>
    </item>
    <item>
      <title>pyparsing 3.3.3 [linux-32, linux-64, linux-aarch64, linux-ppc64le, linux-s390x, noarch, osx-64, osx-arm64, win-32, win-64, win-arm64]</title>
      <description>The pyparsing module is an alternative approach to creating and executing simple grammars, vs. the traditional lex/yacc approach, or the use of regular expressions. The pyparsing module provides a library of classes that client code uses to construct the grammar directly in Python code.</description>
      <link>https://github.com/pyparsing/pyparsing/blob/master/docs/HowToUsePyparsing.rst</link>
      <comments>https://github.com/pyparsing/pyparsing/</comments>
      <guid>https://pypi.org/packages/source/p/pyparsing/pyparsing-3.3.3.tar.gz</guid>
      <pubDate>Wed, 07 Oct 2026 19:43:21 GMT</pubDate>
      <source>https://github.com/pyparsing/pyparsing/</source>
    </item>
    <item>
      <title>python-json-logger 4.2.0 [linux-64, linux-aarch64, linux-ppc64le, linux-s390x, noarch, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>Python JSON Logger enables you produce JSON logs when using Python's logging package.  JSON logs are machine readable allowing for much easier parsing and ingestion into log aggregation tools.</description>
      <link>https://nhairs.github.io/python-json-logger/latest</link>
      <comments>https://github.com/nhairs/python-json-logger</comments>
      <guid>https://pypi.org/packages/source/p/python-json-logger/python_json_logger-4.2.0.tar.gz</guid>
      <pubDate>Wed, 07 Oct 2026 19:42:57 GMT</pubDate>
      <source>https://nhairs.github.io/python-json-logger/latest</source>
    </item>
    <item>
      <title>click-repl 0.4.1 [linux-64, linux-aarch64, noarch, osx-arm64, win-64, win-arm64]</title>
      <description>click-repl turns a click-based application into a REPL, enabling multiple commands to be executed in single session, with a single shared context. Supports tab completion and command history.</description>
      <link>https://github.com/click-contrib/click-repl/blob/master/README.md</link>
      <comments>https://github.com/click-contrib/click-repl</comments>
      <guid>https://pypi.io/packages/source/c/click-repl/click-repl-0.1.6.tar.gz</guid>
      <pubDate>Wed, 07 Oct 2026 19:42:20 GMT</pubDate>
      <source>https://github.com/click-contrib/click-repl</source>
    </item>
    <item>
      <title>python-build 1.6.1 [linux-64, linux-aarch64, linux-ppc64le, linux-s390x, noarch, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>build manages pyproject.toml-based builds, invoking build-backend hooks as appropriate to build a distribution package. It is a simple build tool and does not perform any dependency management.</description>
      <link>https://pypa-build.readthedocs.io/en/stable/</link>
      <comments>https://github.com/pypa/build</comments>
      <guid>https://pypi.org/packages/source/b/build/build-1.6.1.tar.gz</guid>
      <pubDate>Wed, 07 Oct 2026 19:42:14 GMT</pubDate>
      <source>https://build.pypa.io/</source>
    </item>
    <item>
      <title>python-engineio 4.14.0 [linux-32, linux-64, linux-aarch64, linux-ppc64le, noarch, osx-64, osx-arm64, win-32, win-64, win-arm64]</title>
      <description>This project implements Python based Engine.IO client and server that can run standalone or integrated with a variety of Python web frameworks and applications.</description>
      <link>https://python-engineio.readthedocs.io</link>
      <comments>https://github.com/miguelgrinberg/python-engineio</comments>
      <guid>https://github.com/miguelgrinberg/python-engineio/archive/refs/tags/v4.14.0.tar.gz</guid>
      <pubDate>Wed, 07 Oct 2026 19:42:02 GMT</pubDate>
      <source>https://github.com/miguelgrinberg/python-engineio</source>
    </item>
    <item>
      <title>python-fastjsonschema 2.22.2 [linux-64, linux-aarch64, linux-ppc64le, linux-s390x, noarch, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>fastjsonschema implements validation of JSON documents by JSON schema. The library implements JSON schema drafts 04, 06 and 07. The main purpose is to have a really fast implementation.</description>
      <link>https://horejsek.github.io/python-fastjsonschema</link>
      <comments>https://github.com/horejsek/python-fastjsonschema</comments>
      <guid>https://pypi.org/packages/source/f/fastjsonschema/fastjsonschema-2.22.2.tar.gz</guid>
      <pubDate>Wed, 07 Oct 2026 19:42:01 GMT</pubDate>
      <source>https://github.com/horejsek/python-fastjsonschema</source>
    </item>
    <item>
      <title>sentencepiece-python 0.2.2 [linux-64, linux-aarch64, linux-s390x, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>SentencePiece is an unsupervised text tokenizer and detokenizer mainly for Neural Network-based text generation systems where the vocabulary size is predetermined prior to the neural model training. SentencePiece implements subword units (e.g., byte-pair-encoding (BPE) [[Sennrich et al.](http://www.aclweb.org/anthology/P16-1162)]) and unigram language model [[Kudo](https://arxiv.org/abs/1804.109590)]) with the extension of direct training from raw sentences. SentencePiece allows us to make a purely end-to-end system that does not depend on language-specific pre/postprocessing.</description>
      <link>https://github.com/google/sentencepiece/blob/master/doc/api.md</link>
      <comments>https://github.com/google/sentencepiece</comments>
      <guid>https://github.com/google/sentencepiece/archive/refs/tags/v0.2.2.tar.gz</guid>
      <pubDate>Wed, 07 Oct 2026 19:41:53 GMT</pubDate>
      <source>https://github.com/google/sentencepiece</source>
    </item>
    <item>
      <title>bytecode 0.19.0 [linux-64, linux-aarch64, linux-ppc64le, linux-s390x, noarch, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>bytecode is a Python module to generate and modify bytecode.</description>
      <link>https://bytecode.readthedocs.io</link>
      <comments>https://github.com/MatthieuDartiailh/bytecode</comments>
      <guid>https://pypi.org/packages/source/b/bytecode/bytecode-0.19.0.tar.gz</guid>
      <pubDate>Wed, 07 Oct 2026 19:41:45 GMT</pubDate>
      <source>https://github.com/MatthieuDartiailh/bytecode</source>
    </item>
    <item>
      <title>sentencepiece-spm 0.2.2 [linux-64, linux-aarch64, linux-s390x, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>SentencePiece is an unsupervised text tokenizer and detokenizer mainly for Neural Network-based text generation systems where the vocabulary size is predetermined prior to the neural model training. SentencePiece implements subword units (e.g., byte-pair-encoding (BPE) [[Sennrich et al.](http://www.aclweb.org/anthology/P16-1162)]) and unigram language model [[Kudo](https://arxiv.org/abs/1804.109590)]) with the extension of direct training from raw sentences. SentencePiece allows us to make a purely end-to-end system that does not depend on language-specific pre/postprocessing.</description>
      <link>https://github.com/google/sentencepiece/blob/master/doc/api.md</link>
      <comments>https://github.com/google/sentencepiece</comments>
      <guid>https://github.com/google/sentencepiece/archive/refs/tags/v0.2.2.tar.gz</guid>
      <pubDate>Wed, 07 Oct 2026 19:40:51 GMT</pubDate>
      <source>https://github.com/google/sentencepiece</source>
    </item>
    <item>
      <title>pytest-mock 3.16.0 [linux-32, linux-64, linux-aarch64, linux-ppc64le, linux-s390x, noarch, osx-64, osx-arm64, win-32, win-64, win-arm64]</title>
      <description>Thin-wrapper around the mock package for easier use with py.test</description>
      <link>https://pytest-mock.readthedocs.io</link>
      <comments>https://github.com/pytest-dev/pytest-mock</comments>
      <guid>https://pypi.org/packages/source/p/pytest-mock/pytest_mock-3.16.0.tar.gz</guid>
      <pubDate>Wed, 07 Oct 2026 19:40:44 GMT</pubDate>
      <source>https://github.com/pytest-dev/pytest-mock</source>
    </item>
    <item>
      <title>fontconfig 2.18.2 [linux-32, linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>Fontconfig is a library designed to provide system-wide font configuration, customization and application access.</description>
      <link>https://www.freedesktop.org/software/fontconfig/fontconfig-user.html</link>
      <comments>https://gitlab.freedesktop.org/fontconfig/fontconfig</comments>
      <guid>https://gitlab.freedesktop.org/fontconfig/fontconfig/-/archive/2.18.2/fontconfig-2.18.2.tar.gz</guid>
      <pubDate>Wed, 07 Oct 2026 19:40:37 GMT</pubDate>
      <source>https://www.freedesktop.org/wiki/Software/fontconfig</source>
    </item>
    <item>
      <title>proto-plus 1.29.0 [linux-64, linux-aarch64, linux-ppc64le, linux-s390x, noarch, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>This is a wrapper around protocol buffers. Protocol buffers is a specification format for APIs, such as those inside Google. This library provides protocol buffer message classes and objects that largely behave like native Python types.</description>
      <link>https://googleapis.dev/python/proto-plus/latest</link>
      <comments>https://github.com/googleapis/google-cloud-python/tree/main/packages/proto-plus</comments>
      <guid>https://pypi.org/packages/source/p/proto-plus/proto_plus-1.29.0.tar.gz</guid>
      <pubDate>Wed, 07 Oct 2026 19:37:26 GMT</pubDate>
      <source>https://github.com/googleapis/google-cloud-python/tree/main/packages/proto-plus</source>
    </item>
    <item>
      <title>libsentencepiece 0.2.2 [linux-64, linux-aarch64, linux-s390x, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>SentencePiece is an unsupervised text tokenizer and detokenizer mainly for Neural Network-based text generation systems where the vocabulary size is predetermined prior to the neural model training. SentencePiece implements subword units (e.g., byte-pair-encoding (BPE) [[Sennrich et al.](http://www.aclweb.org/anthology/P16-1162)]) and unigram language model [[Kudo](https://arxiv.org/abs/1804.109590)]) with the extension of direct training from raw sentences. SentencePiece allows us to make a purely end-to-end system that does not depend on language-specific pre/postprocessing.</description>
      <link>https://github.com/google/sentencepiece/blob/master/doc/api.md</link>
      <comments>https://github.com/google/sentencepiece</comments>
      <guid>https://github.com/google/sentencepiece/archive/refs/tags/v0.2.2.tar.gz</guid>
      <pubDate>Wed, 07 Oct 2026 19:36:25 GMT</pubDate>
      <source>https://github.com/google/sentencepiece</source>
    </item>
    <item>
      <title>tktable 2.10 [linux-32, linux-64, linux-aarch64, linux-s390x, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>TkTable is a full-featured 2D table widget for Tk. It supports images, embedded windows, varying colors and fonts, and more. Also here is Vu, a Tk widget extension that includes a pie, dial, spinbox and more, and Tile, a themed widget set for Tk.</description>
      <link>https://core.tcl-lang.org/jenglish/gutter/packages/tktable.html</link>
      <comments>https://sourceforge.net/projects/tktable/</comments>
      <guid>http://downloads.sourceforge.net/project/tktable/tktable/2.10/Tktable2.10.tar.gz</guid>
      <pubDate>Wed, 07 Oct 2026 19:00:45 GMT</pubDate>
      <source>https://www.tcl.tk</source>
    </item>
    <item>
      <title>nccl 2.32.3.1 [linux-64, linux-aarch64]</title>
      <description>The NVIDIA Collective Communications Library (NCCL) implements multi-GPU and multi-node collective communication primitives that are performance optimized for NVIDIA GPUs. NCCL provides routines such as all-gather, all-reduce, broadcast, reduce, reduce-scatter, that are optimized to achieve high bandwidth over PCIe and NVLink high-speed interconnect.</description>
      <link>https://docs.nvidia.com/deeplearning/sdk/nccl-developer-guide/docs/index.html</link>
      <comments>https://github.com/NVIDIA/nccl</comments>
      <guid>https://github.com/NVIDIA/nccl/archive/v2.32.3-1.tar.gz</guid>
      <pubDate>Wed, 07 Oct 2026 18:48:12 GMT</pubDate>
      <source>https://developer.nvidia.com/nccl</source>
    </item>
    <item>
      <title>nanobind 2.13.0 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>nanobind is a small binding library that exposes C++ types in Python and vice versa. It is reminiscent of Boost.Python and pybind11 and uses near-identical syntax. In contrast to these existing tools, nanobind is more efficient: bindings compile in a shorter amount of time, producing smaller binaries with better runtime performance.</description>
      <link>https://github.com/wjakob/nanobind/tree/master/docs</link>
      <comments>https://github.com/wjakob/nanobind</comments>
      <guid>https://pypi.io/packages/source/n/nanobind/nanobind-2.5.0.tar.gz</guid>
      <pubDate>Wed, 07 Oct 2026 18:36:16 GMT</pubDate>
      <source>https://github.com/wjakob/nanobind</source>
    </item>
    <item>
      <title>aws-c-mqtt 1.0.0 [linux-64, linux-aarch64, linux-s390x, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>C99 implementation of the MQTT 3.1.1 and MQTT 5 specifications.</description>
      <link>https://github.com/awslabs/aws-c-mqtt</link>
      <comments>https://github.com/awslabs/aws-c-mqtt</comments>
      <guid>https://github.com/awslabs/aws-c-mqtt/archive/v1.0.0.tar.gz</guid>
      <pubDate>Wed, 07 Oct 2026 18:21:37 GMT</pubDate>
      <source>https://github.com/awslabs/aws-c-mqtt</source>
    </item>
    <item>
      <title>pcre2 10.49 [linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-32, win-64, win-arm64]</title>
      <description>The PCRE library is a set of functions that implement regular expression pattern matching using the same syntax and semantics as Perl 5. PCRE has its own native API, as well as a set of wrapper functions that correspond to the POSIX regular expression API. The PCRE library is free, even for building proprietary software.</description>
      <link>https://www.pcre.org/current/doc/html/</link>
      <comments>https://github.com/PCRE2Project/pcre2</comments>
      <guid>https://github.com/PCRE2Project/pcre2/archive/refs/tags/pcre2-10.42.tar.gz</guid>
      <pubDate>Wed, 07 Oct 2026 18:13:10 GMT</pubDate>
      <source>https://www.pcre.org</source>
    </item>
    <item>
      <title>freetype 2.14.3 [linux-32, linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-32, win-64, win-arm64]</title>
      <description>FreeType is designed to be small, efficient, highly customizable and portable while capable of producing high-quality output (glyph images) of most vector and bitmap font formats.</description>
      <link>https://gitlab.freedesktop.org/freetype/freetype/-/blob/master/README</link>
      <comments>https://gitlab.freedesktop.org/freetype/freetype</comments>
      <guid>https://download-mirror.savannah.gnu.org/releases/freetype/freetype-2.14.3.tar.gz</guid>
      <pubDate>Wed, 07 Oct 2026 18:13:05 GMT</pubDate>
      <source>https://freetype.org</source>
    </item>
    <item>
      <title>mkl_fft 2.3.2 [linux-32, linux-64, osx-64, win-32, win-64]</title>
      <description>NumPy-based implementation of Fast Fourier Transform using Intel (R) Math Kernel Library. Supports in-place and out-of-place, 1D and ND complex FFT on arrays of single and double precision with arbitrary memory layout, so long as array strides are multiples of its itemsize.</description>
      <link>https://github.com/IntelPython/mkl_fft</link>
      <comments>https://github.com/IntelPython/mkl_fft</comments>
      <guid>https://github.com/IntelPython/mkl_fft/archive/2.3.2.tar.gz</guid>
      <pubDate>Wed, 07 Oct 2026 18:12:48 GMT</pubDate>
      <source>https://github.com/IntelPython/mkl_fft</source>
    </item>
    <item>
      <title>idna 3.20 [linux-32, linux-64, linux-aarch64, linux-ppc64le, linux-s390x, noarch, osx-64, osx-arm64, win-32, win-64, win-arm64]</title>
      <description>A library to support the Internationalised Domain Names in Applications (IDNA) protocol as specified in RFC 5891. This version of the protocol is often referred to as &quot;IDNA2008&quot;.</description>
      <link>https://github.com/kjd/idna/blob/master/README.rst</link>
      <comments>https://github.com/kjd/idna</comments>
      <guid>https://pypi.org/packages/source/i/idna/idna-3.20.tar.gz</guid>
      <pubDate>Wed, 07 Oct 2026 18:11:46 GMT</pubDate>
      <source>https://github.com/kjd/idna</source>
    </item>
    <item>
      <title>expat 2.9.0 [linux-32, linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-32, win-64, win-arm64]</title>
      <description>Expat is a stream-oriented XML parser library written in C. Expat excels with files too large to fit RAM, and where performance and flexibility are crucial.</description>
      <link>https://libexpat.github.io/doc</link>
      <comments>https://github.com/libexpat/libexpat</comments>
      <guid>https://github.com/libexpat/libexpat/releases/download/R_2_9_0/expat-2.9.0.tar.bz2</guid>
      <pubDate>Wed, 07 Oct 2026 17:43:23 GMT</pubDate>
      <source>https://libexpat.github.io</source>
    </item>
    <item>
      <title>libexpat 2.9.0 [linux-64, linux-aarch64, osx-arm64, win-64, win-arm64]</title>
      <description>Expat is a stream-oriented XML parser library written in C. Expat excels with files too large to fit RAM, and where performance and flexibility are crucial.</description>
      <link>https://libexpat.github.io/doc</link>
      <comments>https://github.com/libexpat/libexpat</comments>
      <guid>https://github.com/libexpat/libexpat/releases/download/R_2_9_0/expat-2.9.0.tar.bz2</guid>
      <pubDate>Wed, 07 Oct 2026 17:43:12 GMT</pubDate>
      <source>https://libexpat.github.io</source>
    </item>
    <item>
      <title>bazel 8.8.0 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>Bazel is Google's own build tool, now publicly available in Beta. Bazel has built-in support for building both client and server software, including client applications for both Android and iOS platforms. It also provides an extensible framework that you can use to develop your own build rules.</description>
      <link>https://bazel.build/docs</link>
      <comments>https://github.com/bazelbuild/bazel</comments>
      <guid>https://github.com/bazelbuild/bazel/releases/download/6.5.0/bazel-6.5.0-dist.zip</guid>
      <pubDate>Wed, 07 Oct 2026 17:36:50 GMT</pubDate>
      <source>https://bazel.build</source>
    </item>
    <item>
      <title>ob-metaflow-extensions 1.6.34 [linux-64, linux-aarch64, osx-arm64]</title>
      <description>ob-metaflow-extensions installs the client-side Outerbounds platform extension packages for Metaflow.</description>
      <link>https://docs.metaflow.org</link>
      <comments>https://pypi.org/project/ob-metaflow-extensions/#files</comments>
      <pubDate>Wed, 07 Oct 2026 17:17:46 GMT</pubDate>
      <source>https://pypi.org/project/ob-metaflow-extensions/#description</source>
    </item>
    <item>
      <title>moto 5.2.3 [linux-64, linux-aarch64, linux-ppc64le, noarch, osx-64, osx-arm64, win-64]</title>
      <description>A library that allows you to easily mock out tests based on AWS infrastructure.</description>
      <link>https://docs.getmoto.org</link>
      <comments>https://github.com/getmoto/moto</comments>
      <guid>https://pypi.org/packages/source/m/moto/moto-5.2.3.tar.gz</guid>
      <pubDate>Wed, 07 Oct 2026 11:34:16 GMT</pubDate>
      <source>https://docs.getmoto.org</source>
    </item>
    <item>
      <title>metaflow-checkpoint 0.2.14 [linux-64, linux-aarch64, osx-arm64]</title>
      <description>metaflow-checkpoint provides Metaflow extension decorators for checkpointing, model artifact management, and Hugging Face Hub model caching in Metaflow flows.</description>
      <link>https://github.com/outerbounds/metaflow-checkpoint#readme</link>
      <comments>https://github.com/outerbounds/metaflow-checkpoint</comments>
      <pubDate>Wed, 07 Oct 2026 09:27:55 GMT</pubDate>
      <source>https://github.com/outerbounds/metaflow-checkpoint</source>
    </item>
    <item>
      <title>ob-metaflow-stubs 6.0.12.52 [linux-64, linux-aarch64, osx-arm64]</title>
      <description>ob-metaflow-stubs contains type stub metadata for the Outerbounds Metaflow package, providing type hints for editors and language servers.</description>
      <link>https://github.com/outerbounds/ob-packages/tree/master/obp-python-packages/ob-metaflow-stubs/stubs#readme</link>
      <comments>https://github.com/outerbounds/ob-packages/tree/master/obp-python-packages/ob-metaflow-stubs/stubs</comments>
      <pubDate>Wed, 07 Oct 2026 09:27:54 GMT</pubDate>
      <source>https://github.com/outerbounds/ob-packages/tree/master/obp-python-packages/ob-metaflow-stubs/stubs</source>
    </item>
    <item>
      <title>metaflow 2.19.39.1 [linux-64, linux-aarch64, osx-arm64]</title>
      <description>Metaflow helps scientists and engineers build, manage, and deploy real-life AI and ML systems from local prototypes to production workflows.</description>
      <link>https://docs.metaflow.org</link>
      <comments>https://github.com/outerbounds/metaflow</comments>
      <guid>https://pypi.org/packages/source/m/metaflow/metaflow-2.19.37.tar.gz</guid>
      <pubDate>Wed, 07 Oct 2026 09:25:12 GMT</pubDate>
      <source>https://github.com/outerbounds/metaflow</source>
    </item>
    <item>
      <title>ob-metaflow 2.19.39.1 [linux-64, linux-aarch64, osx-arm64]</title>
      <description>Metaflow helps scientists and engineers build, manage, and deploy real-life AI and ML systems from local prototypes to production workflows.</description>
      <link>https://docs.metaflow.org</link>
      <comments>https://github.com/outerbounds/metaflow</comments>
      <pubDate>Wed, 07 Oct 2026 09:25:06 GMT</pubDate>
      <source>https://github.com/outerbounds/metaflow</source>
    </item>
    <item>
      <title>cccl-python 1.2.1 [linux-64, linux-aarch64, win-64]</title>
      <description>Python interfaces to CUDA Core Compute Libraries (CCCL)</description>
      <link>https://nvidia.github.io/cccl/unstable/python</link>
      <comments>https://github.com/NVIDIA/cccl</comments>
      <guid>https://github.com/NVIDIA/cccl/archive/refs/tags/python-1.2.1.tar.gz</guid>
      <pubDate>Tue, 06 Oct 2026 20:53:27 GMT</pubDate>
      <source>https://github.com/NVIDIA/cccl</source>
    </item>
    <item>
      <title>libpython-static 3.14.8 [linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-32, win-64, win-arm64]</title>
      <description>Python is a widely used high-level, general-purpose, interpreted, dynamic programming language. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code than would be possible in languages such as C++ or Java. The language provides constructs intended to enable clear programs on both a small and large scale.</description>
      <link>https://www.python.org/doc/versions/</link>
      <comments>https://devguide.python.org/</comments>
      <pubDate>Tue, 06 Oct 2026 20:53:25 GMT</pubDate>
      <source>https://www.python.org/</source>
    </item>
    <item>
      <title>python 3.14.8 [linux-32, linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-32, win-64, win-arm64]</title>
      <description>Python is a widely used high-level, general-purpose, interpreted, dynamic programming language. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code than would be possible in languages such as C++ or Java. The language provides constructs intended to enable clear programs on both a small and large scale.</description>
      <link>https://www.python.org/doc/versions/</link>
      <comments>https://devguide.python.org/</comments>
      <guid>https://www.python.org/ftp/python/2.7.14/Python-2.7.14.tgz</guid>
      <pubDate>Tue, 06 Oct 2026 20:52:18 GMT</pubDate>
      <source>https://www.python.org/</source>
    </item>
    <item>
      <title>hf-gradio 0.4.1 [linux-64, linux-aarch64, osx-arm64, win-64, win-arm64]</title>
      <description>An extension of the Hugging Face CLI for interacting with Gradio Spaces and Apps.</description>
      <link>https://github.com/gradio-app/hf-gradio</link>
      <comments>https://github.com/gradio-app/hf-gradio</comments>
      <guid>https://pypi.org/packages/source/h/hf_gradio/hf_gradio-0.4.1.tar.gz</guid>
      <pubDate>Tue, 06 Oct 2026 20:39:38 GMT</pubDate>
      <source>https://github.com/gradio-app/hf-gradio</source>
    </item>
    <item>
      <title>platformdirs 4.12.3 [linux-64, linux-aarch64, linux-ppc64le, linux-s390x, noarch, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>About A small Python module for determining appropriate platform-specific dirs, e.g. a &quot;user data dir&quot;.</description>
      <link>https://platformdirs.readthedocs.io</link>
      <comments>https://github.com/platformdirs/platformdirs</comments>
      <guid>https://pypi.org/packages/source/p/platformdirs/platformdirs-4.12.3.tar.gz</guid>
      <pubDate>Tue, 06 Oct 2026 20:09:44 GMT</pubDate>
      <source>https://github.com/platformdirs/platformdirs</source>
    </item>
    <item>
      <title>sqlite 3.53.4 [linux-32, linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-32, win-64, win-arm64]</title>
      <description>SQLite is a self-contained, high-reliability, embedded, full-featured, public-domain, SQL database engine. It is the most used database engine in the world.</description>
      <link>https://www.sqlite.org/docs.html</link>
      <comments>https://sqlite.org/src/dir?ci=trunk</comments>
      <guid>https://www.sqlite.org/2026/sqlite-autoconf-3530400.tar.gz</guid>
      <pubDate>Tue, 06 Oct 2026 20:01:57 GMT</pubDate>
      <source>https://www.sqlite.org</source>
    </item>
    <item>
      <title>ca-certificates 2026.9.25 [linux-32, linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-32, win-64, win-arm64]</title>
      <description>Certificates for use with other packages.</description>
      <link>https://github.com/curl/curl/blob/master/docs/SSLCERTS.md</link>
      <comments>https://github.com/curl/curl/blob/master/scripts/mk-ca-bundle.pl</comments>
      <guid>https://curl.se/ca/cacert-2026-09-25.pem</guid>
      <pubDate>Tue, 06 Oct 2026 19:52:14 GMT</pubDate>
      <source>https://curl.se/docs/caextract.html</source>
    </item>
    <item>
      <title>qtdeclarative 6.12.0 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>Qt helps you create connected devices, UIs &amp; applications that run anywhere on any device, on any operating system at any time (declarative libraries).</description>
      <link>https://doc.qt.io</link>
      <comments>https://github.com/qt/qtdeclarative</comments>
      <pubDate>Tue, 06 Oct 2026 19:31:07 GMT</pubDate>
      <source>https://www.qt.io</source>
    </item>
    <item>
      <title>rapidocr 3.9.2 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>A cross platform OCR Library based on OnnxRuntime/OpenVINO/PaddlePaddle. It supports text detection and recognition.</description>
      <link>https://rapidai.github.io/RapidOCRDocs</link>
      <comments>https://github.com/RapidAI/RapidOCR</comments>
      <guid>https://github.com/RapidAI/rapidocr/archive/refs/tags/v3.9.2.tar.gz</guid>
      <pubDate>Tue, 06 Oct 2026 19:26:31 GMT</pubDate>
      <source>https://github.com/RapidAI/RapidOCR</source>
    </item>
    <item>
      <title>gradio-client 2.7.1 [linux-64, linux-aarch64, osx-arm64, win-64, win-arm64]</title>
      <description>Python library for easily interacting with trained machine learning models</description>
      <link>https://www.gradio.app</link>
      <comments>https://github.com/gradio-app/gradio</comments>
      <guid>https://pypi.org/packages/source/g/gradio-client/gradio_client-2.7.1.tar.gz</guid>
      <pubDate>Tue, 06 Oct 2026 19:05:25 GMT</pubDate>
      <source>https://pypi.org/project/gradio-client</source>
    </item>
    <item>
      <title>langgraph-prebuilt 1.1.0 [linux-64, linux-aarch64, osx-arm64, win-64, win-arm64]</title>
      <description>Library with high-level APIs for creating and executing LangGraph agents and tools.</description>
      <link>https://github.com/langchain-ai/langgraph/blob/main/libs/prebuilt/README.md</link>
      <comments>https://github.com/langchain-ai/langgraph/tree/main/libs/prebuilt</comments>
      <guid>https://pypi.org/packages/source/l/langgraph-prebuilt/langgraph_prebuilt-1.1.0.tar.gz</guid>
      <pubDate>Tue, 06 Oct 2026 18:43:36 GMT</pubDate>
      <source>https://www.github.com/langchain-ai/langgraph</source>
    </item>
    <item>
      <title>qtshadertools 6.12.0 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>Qt helps you create connected devices, UIs &amp; applications that run anywhere on any device, on any operating system at any time (shadertools libraries).</description>
      <link>https://doc.qt.io</link>
      <comments>https://github.com/qt/qtshadertools</comments>
      <pubDate>Tue, 06 Oct 2026 18:21:42 GMT</pubDate>
      <source>https://www.qt.io</source>
    </item>
    <item>
      <title>huggingface_hub 1.33.0 [linux-64, linux-aarch64, linux-ppc64le, linux-s390x, noarch, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>The huggingface_hub is a client library to interact with the Hugging Face Hub. The Hugging Face Hub is a platform with over 35K models, 4K datasets, and 2K demos in which people can easily collaborate in their ML workflows. The Hub works as a central place where anyone can share, explore, discover, and experiment with open-source Machine Learning.  With huggingface_hub, you can easily download and upload models, datasets, and Spaces. You can extract useful information from the Hub, and do much more. Some example use cases:  - Downloading and caching files from a Hub repository. - Creating repositories and uploading an updated model every few epochs. - Extract metadata from all models that match certain criteria (e.g. models for text-classification). - List all files from a specific repository.</description>
      <link>https://huggingface.co/docs/huggingface_hub/index</link>
      <comments>https://github.com/huggingface/huggingface_hub</comments>
      <guid>https://pypi.org/packages/source/h/huggingface_hub/huggingface_hub-1.33.0.tar.gz</guid>
      <pubDate>Tue, 06 Oct 2026 18:17:43 GMT</pubDate>
      <source>https://github.com/huggingface/huggingface_hub</source>
    </item>
    <item>
      <title>opentelemetry-instrumentation-litellm 0.62.1 [linux-64, linux-aarch64, osx-arm64, win-64, win-arm64]</title>
      <description>OpenTelemetry LiteLLM instrumentation</description>
      <link>https://www.traceloop.com/docs/openllmetry/introduction</link>
      <comments>https://github.com/traceloop/openllmetry</comments>
      <guid>https://github.com/traceloop/openllmetry/archive/refs/tags/0.62.1.tar.gz</guid>
      <pubDate>Tue, 06 Oct 2026 18:17:06 GMT</pubDate>
      <source>https://www.traceloop.com/openllmetry</source>
    </item>
    <item>
      <title>opentelemetry-instrumentation-langchain 0.62.1 [linux-64, linux-aarch64, osx-arm64, win-64, win-arm64]</title>
      <description>This library allows tracing complete LLM applications built with Langchain.</description>
      <link>https://www.traceloop.com/docs/openllmetry/introduction</link>
      <comments>https://github.com/traceloop/openllmetry</comments>
      <guid>https://pypi.org/packages/source/o/opentelemetry-instrumentation-langchain/opentelemetry_instrumentation_langchain-0.62.1.tar.gz</guid>
      <pubDate>Tue, 06 Oct 2026 18:16:46 GMT</pubDate>
      <source>https://www.traceloop.com/openllmetry</source>
    </item>
    <item>
      <title>qtsvg 6.12.0 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>Qt helps you create connected devices, UIs &amp; applications that run anywhere on any device, on any operating system at any time (svg libraries).</description>
      <link>https://doc.qt.io</link>
      <comments>https://github.com/qt/qtsvg</comments>
      <pubDate>Tue, 06 Oct 2026 18:16:10 GMT</pubDate>
      <source>https://www.qt.io</source>
    </item>
    <item>
      <title>aws-c-s3 1.2.0 [linux-64, linux-aarch64, linux-s390x, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>The AWS-C-S3 library is an asynchronous AWS S3 client focused on maximizing throughput and network utilization.</description>
      <link>https://github.com/awslabs/aws-c-s3</link>
      <comments>https://github.com/awslabs/aws-c-s3</comments>
      <guid>https://github.com/awslabs/aws-c-s3/archive/v1.2.0.tar.gz</guid>
      <pubDate>Tue, 06 Oct 2026 18:14:53 GMT</pubDate>
      <source>https://github.com/awslabs/aws-c-s3</source>
    </item>
    <item>
      <title>qtbase-devel 6.12.0 [linux-64, linux-aarch64, osx-arm64, win-64, win-arm64]</title>
      <description>Qt helps you create connected devices, UIs &amp; applications that run anywhere on any device, on any operating system at any time (base libraries).</description>
      <link>https://doc.qt.io</link>
      <comments>https://github.com/qt/qtbase</comments>
      <pubDate>Tue, 06 Oct 2026 17:11:56 GMT</pubDate>
      <source>https://www.qt.io</source>
    </item>
    <item>
      <title>qtbase 6.12.0 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>Qt helps you create connected devices, UIs &amp; applications that run anywhere on any device, on any operating system at any time (base libraries).</description>
      <link>https://doc.qt.io</link>
      <comments>https://github.com/qt/qtbase</comments>
      <pubDate>Tue, 06 Oct 2026 17:09:52 GMT</pubDate>
      <source>https://www.qt.io</source>
    </item>
    <item>
      <title>py-rattler-build 0.76.1 [linux-64, linux-aarch64, osx-arm64, win-64, win-arm64]</title>
      <description>The `rattler-build` tooling and library creates cross-platform relocatable binaries / packages from a simple recipe format. The recipe format is heavily inspired by `conda-build` and `boa`, and the output of a regular `rattler-build` run is a package that can be installed using `mamba`, `rattler` or `conda`.</description>
      <link>https://rattler.build/latest/py-rattler-build/reference</link>
      <comments>https://github.com/prefix-dev/rattler-build</comments>
      <guid>https://github.com/prefix-dev/rattler-build/archive/refs/tags/v0.76.1.tar.gz</guid>
      <pubDate>Tue, 06 Oct 2026 17:09:24 GMT</pubDate>
      <source>https://rattler.build</source>
    </item>
    <item>
      <title>bokeh 3.10.0 [linux-32, linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-32, win-64, win-arm64]</title>
      <description>Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords high-performance interactivity over large or streaming datasets. Bokeh can help anyone who would like to quickly and easily make interactive plots, dashboards, and data applications.</description>
      <link>https://docs.bokeh.org</link>
      <comments>https://github.com/bokeh/bokeh</comments>
      <guid>https://pypi.io/packages/source/b/bokeh/bokeh-3.1.1.tar.gz</guid>
      <pubDate>Tue, 06 Oct 2026 17:06:20 GMT</pubDate>
      <source>https://bokeh.org</source>
    </item>
    <item>
      <title>sphinx-book-theme 1.4.0 [linux-64, linux-aarch64, osx-arm64, win-64, win-arm64]</title>
      <description>A clean book theme for scientific explanations and documentation with Sphinx. This theme is based on pydata-sphinx-theme and provides a clean, modern look for documentation websites with features like collapsible sidebars, interactive elements, and support for Jupyter notebooks.</description>
      <link>https://sphinx-book-theme.readthedocs.io</link>
      <comments>https://github.com/executablebooks/sphinx-book-theme</comments>
      <guid>https://github.com/executablebooks/sphinx-book-theme/archive/refs/tags/v1.4.0.tar.gz</guid>
      <pubDate>Tue, 06 Oct 2026 17:05:12 GMT</pubDate>
      <source>https://sphinx-book-theme.readthedocs.io</source>
    </item>
    <item>
      <title>azure-storage-files-datalake-cpp 12.16.0 [linux-64, linux-aarch64, osx-arm64, win-64, win-arm64]</title>
      <description>Azure Data Lake includes all the capabilities required to make it easy for developers, data scientists, and analysts to store data of any size, shape, and speed, and do all types of processing and analytics across platforms and languages. It removes the complexities of ingesting and storing all of your data while making it faster to get up and running with batch, streaming, and interactive analytics.</description>
      <link>https://azure.github.io/azure-sdk-for-cpp</link>
      <comments>https://github.com/Azure/azure-sdk-for-cpp/tree/main/sdk/storage/azure-storage-files-datalake</comments>
      <guid>https://github.com/Azure/azure-sdk-for-cpp/archive/refs/tags/azure-storage-files-datalake_12.16.0.tar.gz</guid>
      <pubDate>Tue, 06 Oct 2026 17:04:33 GMT</pubDate>
      <source>https://github.com/Azure/azure-sdk-for-cpp</source>
    </item>
    <item>
      <title>jupyter-builder 1.2.3 [linux-64, linux-aarch64, osx-arm64, win-64, win-arm64]</title>
      <description>Build tools shared by JupyterLab and Jupyter Notebook extensions.</description>
      <link>https://jupyterlab.readthedocs.io</link>
      <comments>https://github.com/jupyterlab/jupyter-builder</comments>
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      <pubDate>Tue, 06 Oct 2026 17:03:58 GMT</pubDate>
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