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    <title>Anaconda repository updates</title>
    <link>http://repo.continuum.io/pkgs/</link>
    <description>Recent updates to the conda default repository</description>
    <language>en</language>
    <copyright>Copyright 2026, Anaconda, Inc.</copyright>
    <pubDate>Thu, 07 May 2026 16:00:34 GMT</pubDate>
    <item>
      <title>cuda-nvcc-impl 13.2.78 [linux-64, linux-aarch64, win-64]</title>
      <description>Compiler for CUDA applications.</description>
      <link>https://docs.nvidia.com/cuda/index.html</link>
      <comments>https://docs.nvidia.com/cuda/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvcc/linux-x86_64/cuda_nvcc-linux-x86_64-12.9.86-archive.tar.xz</guid>
      <pubDate>Thu, 07 May 2026 15:04:39 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>cuda-nvcc-dev_win-64 13.2.78 [noarch]</title>
      <description>Compiler for CUDA applications.</description>
      <link>https://docs.nvidia.com/cuda/index.html</link>
      <comments>https://docs.nvidia.com/cuda/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvcc/windows-x86_64/cuda_nvcc-windows-x86_64-12.9.86-archive.zip</guid>
      <pubDate>Thu, 07 May 2026 15:04:01 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>libnvptxcompiler-dev 13.2.78 [linux-64, linux-aarch64, win-64]</title>
      <description>Compiler for CUDA applications.</description>
      <link>https://docs.nvidia.com/cuda/index.html</link>
      <comments>https://docs.nvidia.com/cuda/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvcc/linux-x86_64/cuda_nvcc-linux-x86_64-12.9.86-archive.tar.xz</guid>
      <pubDate>Thu, 07 May 2026 15:03:45 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>cuda-nvcc-tools 13.2.78 [linux-64, linux-aarch64, win-64]</title>
      <description>Compiler for CUDA applications.</description>
      <link>https://docs.nvidia.com/cuda/index.html</link>
      <comments>https://docs.nvidia.com/cuda/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvcc/linux-x86_64/cuda_nvcc-linux-x86_64-12.9.86-archive.tar.xz</guid>
      <pubDate>Thu, 07 May 2026 15:03:41 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>cuda-nvcc-dev_linux-64 13.2.78 [noarch]</title>
      <description>Compiler for CUDA applications.</description>
      <link>https://docs.nvidia.com/cuda/index.html</link>
      <comments>https://docs.nvidia.com/cuda/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvcc/linux-x86_64/cuda_nvcc-linux-x86_64-12.9.86-archive.tar.xz</guid>
      <pubDate>Thu, 07 May 2026 15:03:23 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>cuda-nvcc-dev_linux-aarch64 13.2.78 [noarch]</title>
      <description>Compiler for CUDA applications.</description>
      <link>https://docs.nvidia.com/cuda/index.html</link>
      <comments>https://docs.nvidia.com/cuda/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvcc/linux-sbsa/cuda_nvcc-linux-sbsa-12.9.86-archive.tar.xz</guid>
      <pubDate>Thu, 07 May 2026 15:02:20 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>libnvptxcompiler-dev_win-64 13.2.78 [noarch]</title>
      <description>Compiler for CUDA applications.</description>
      <link>https://docs.nvidia.com/cuda/index.html</link>
      <comments>https://docs.nvidia.com/cuda/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvcc/windows-x86_64/cuda_nvcc-windows-x86_64-12.9.86-archive.zip</guid>
      <pubDate>Thu, 07 May 2026 15:02:12 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>libnvptxcompiler-dev_linux-64 13.2.78 [noarch]</title>
      <description>Compiler for CUDA applications.</description>
      <link>https://docs.nvidia.com/cuda/index.html</link>
      <comments>https://docs.nvidia.com/cuda/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvcc/linux-x86_64/cuda_nvcc-linux-x86_64-12.9.86-archive.tar.xz</guid>
      <pubDate>Thu, 07 May 2026 15:01:34 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>cuda-nvvm-tools 13.2.78 [linux-64, linux-aarch64, win-64]</title>
      <description>Compiler for CUDA applications.</description>
      <link>https://docs.nvidia.com/cuda/index.html</link>
      <comments>https://docs.nvidia.com/cuda/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvcc/linux-x86_64/cuda_nvcc-linux-x86_64-12.9.86-archive.tar.xz</guid>
      <pubDate>Thu, 07 May 2026 15:01:05 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>libnvptxcompiler-dev_linux-aarch64 13.2.78 [noarch]</title>
      <description>Compiler for CUDA applications.</description>
      <link>https://docs.nvidia.com/cuda/index.html</link>
      <comments>https://docs.nvidia.com/cuda/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvcc/linux-sbsa/cuda_nvcc-linux-sbsa-12.9.86-archive.tar.xz</guid>
      <pubDate>Thu, 07 May 2026 15:00:55 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>cuda-nvvm-impl 13.2.78 [linux-64, linux-aarch64, win-64]</title>
      <description>Compiler for CUDA applications.</description>
      <link>https://docs.nvidia.com/cuda/index.html</link>
      <comments>https://docs.nvidia.com/cuda/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvcc/linux-x86_64/cuda_nvcc-linux-x86_64-12.9.86-archive.tar.xz</guid>
      <pubDate>Thu, 07 May 2026 15:00:52 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>cuda-nvvm-dev_win-64 13.2.78 [noarch]</title>
      <description>Compiler for CUDA applications.</description>
      <link>https://docs.nvidia.com/cuda/index.html</link>
      <comments>https://docs.nvidia.com/cuda/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvcc/windows-x86_64/cuda_nvcc-windows-x86_64-12.9.86-archive.zip</guid>
      <pubDate>Thu, 07 May 2026 15:00:45 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>cuda-crt-tools 13.2.78 [linux-64, linux-aarch64, win-64]</title>
      <description>CUDA internal tools.</description>
      <link>https://docs.nvidia.com/cuda/index.html</link>
      <comments>https://docs.nvidia.com/cuda/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvcc/linux-x86_64/cuda_nvcc-linux-x86_64-12.9.86-archive.tar.xz</guid>
      <pubDate>Thu, 07 May 2026 15:00:42 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>cuda-crt-dev_win-64 13.2.78 [noarch]</title>
      <description>CUDA internal headers.</description>
      <link>https://docs.nvidia.com/cuda/index.html</link>
      <comments>https://docs.nvidia.com/cuda/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvcc/windows-x86_64/cuda_nvcc-windows-x86_64-12.9.86-archive.zip</guid>
      <pubDate>Thu, 07 May 2026 15:00:38 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>cuda-nvvm-dev_linux-64 13.2.78 [noarch]</title>
      <description>Compiler for CUDA applications.</description>
      <link>https://docs.nvidia.com/cuda/index.html</link>
      <comments>https://docs.nvidia.com/cuda/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvcc/linux-x86_64/cuda_nvcc-linux-x86_64-12.9.86-archive.tar.xz</guid>
      <pubDate>Thu, 07 May 2026 15:00:04 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>cuda-crt-dev_linux-64 13.2.78 [noarch]</title>
      <description>CUDA internal headers.</description>
      <link>https://docs.nvidia.com/cuda/index.html</link>
      <comments>https://docs.nvidia.com/cuda/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvcc/linux-x86_64/cuda_nvcc-linux-x86_64-12.9.86-archive.tar.xz</guid>
      <pubDate>Thu, 07 May 2026 15:00:01 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>cuda-nvvm-dev_linux-aarch64 13.2.78 [noarch]</title>
      <description>Compiler for CUDA applications.</description>
      <link>https://docs.nvidia.com/cuda/index.html</link>
      <comments>https://docs.nvidia.com/cuda/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvcc/linux-sbsa/cuda_nvcc-linux-sbsa-12.9.86-archive.tar.xz</guid>
      <pubDate>Thu, 07 May 2026 14:59:40 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>cuda-crt-dev_linux-aarch64 13.2.78 [noarch]</title>
      <description>CUDA internal headers.</description>
      <link>https://docs.nvidia.com/cuda/index.html</link>
      <comments>https://docs.nvidia.com/cuda/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvcc/linux-sbsa/cuda_nvcc-linux-sbsa-12.9.86-archive.tar.xz</guid>
      <pubDate>Thu, 07 May 2026 14:59:37 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>mesalib 25.1.5 [linux-64, linux-aarch64, osx-64, osx-arm64]</title>
      <description>Mesa is a collection of graphics libraries and drivers that implement a variety of APIs such as OpenGL, Vulkan, and others. It provides software rendering and hardware acceleration for 3D graphics.</description>
      <link>https://docs.mesa3d.org/</link>
      <comments>https://gitlab.freedesktop.org/mesa/mesa</comments>
      <guid>https://archive.mesa3d.org/mesa-25.1.5.tar.xz</guid>
      <pubDate>Thu, 07 May 2026 09:31:11 GMT</pubDate>
      <source>https://www.mesa3d.org</source>
    </item>
    <item>
      <title>cmake-no-system 4.3.2 [linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-32, win-64]</title>
      <description>CMake is an open-source, cross-platform family of tools designed to build, test and package software. CMake is used to control the software compilation process using simple platform and compiler independent configuration files, and generate native makefiles and workspaces that can be used in the compiler environment of your choice.</description>
      <link>https://cmake.org/documentation</link>
      <comments>https://gitlab.kitware.com/cmake/cmake</comments>
      <guid>https://gitlab.kitware.com/cmake/cmake/-/archive/v3.16.5/cmake-v3.16.5.tar.bz2</guid>
      <pubDate>Thu, 07 May 2026 08:26:40 GMT</pubDate>
      <source>https://cmake.org</source>
    </item>
    <item>
      <title>apr-split 1.7.6 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>Apache Portable Run-time libraries have been designed to provide a common interface to low level routines across any platform.The original goal of APR was to combine all code in Apache to one common code base.</description>
      <link>https://apr.apache.org/docs/apr/1.7/index.html</link>
      <comments>https://svn.apache.org/viewvc/apr</comments>
      <pubDate>Thu, 07 May 2026 07:37:36 GMT</pubDate>
      <source>http://apr.apache.org</source>
    </item>
    <item>
      <title>libaprutil 1.6.3 [linux-64, linux-aarch64, linux-ppc64le, osx-64, osx-arm64, win-32, win-64]</title>
      <description>Apache Portable Run-time libraries have been designed to provide a common interface to low level routines across any platform.The original goal of APR was to combine all code in Apache to one common code base.</description>
      <link>https://apr.apache.org/docs/apr/1.7/index.html</link>
      <comments>https://svn.apache.org/viewvc/apr</comments>
      <pubDate>Thu, 07 May 2026 07:37:35 GMT</pubDate>
      <source>http://apr.apache.org</source>
    </item>
    <item>
      <title>libapriconv 1.2.2 [linux-64, linux-aarch64, linux-ppc64le, osx-64, osx-arm64, win-32, win-64]</title>
      <description>Apache Portable Run-time libraries have been designed to provide a common interface to low level routines across any platform.The original goal of APR was to combine all code in Apache to one common code base.</description>
      <link>https://apr.apache.org/docs/apr/1.7/index.html</link>
      <comments>https://svn.apache.org/viewvc/apr</comments>
      <pubDate>Thu, 07 May 2026 07:37:05 GMT</pubDate>
      <source>http://apr.apache.org</source>
    </item>
    <item>
      <title>libapr 1.7.6 [linux-64, linux-aarch64, linux-ppc64le, osx-64, osx-arm64, win-32, win-64]</title>
      <description>Apache Portable Run-time libraries have been designed to provide a common interface to low level routines across any platform.The original goal of APR was to combine all code in Apache to one common code base.</description>
      <link>https://apr.apache.org/docs/apr/1.7/index.html</link>
      <comments>https://svn.apache.org/viewvc/apr</comments>
      <pubDate>Thu, 07 May 2026 07:36:26 GMT</pubDate>
      <source>http://apr.apache.org</source>
    </item>
    <item>
      <title>cuda-cuobjdump 13.2.78 [linux-64, linux-aarch64, win-64]</title>
      <description>Extracts information from CUDA binary files and presents them in human readable format.</description>
      <link>https://docs.nvidia.com/cuda/index.html</link>
      <comments>https://docs.nvidia.com/cuda/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/cuda_cuobjdump/windows-x86_64/cuda_cuobjdump-windows-x86_64-13.2.78-archive.zip</guid>
      <pubDate>Wed, 06 May 2026 22:13:48 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>nsight-compute 2026.1.1.2 [linux-64, linux-aarch64, win-64]</title>
      <description>NVIDIA Nsight Compute is an interactive kernel profiler for CUDA applications. It provides detailed performance metrics and API debugging via a user interface and command line tool.</description>
      <link>https://docs.nvidia.com/nsight-compute/NsightCompute/index.html</link>
      <comments>https://docs.nvidia.com/nsight-compute/NsightCompute/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/nsight_compute/windows-x86_64/nsight_compute-windows-x86_64-2026.1.1.2-archive.zip</guid>
      <pubDate>Wed, 06 May 2026 22:07:23 GMT</pubDate>
      <source>https://developer.nvidia.com/nsight-compute</source>
    </item>
    <item>
      <title>libnvjitlink-dev 13.2.78 [linux-64, linux-aarch64, win-64]</title>
      <description>nvJitLink - Just-in-Time Link Time Optimization (JIT LTO)</description>
      <link>https://docs.nvidia.com/cuda/nvjitlink/index.html</link>
      <comments>https://docs.nvidia.com/cuda/nvjitlink/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/libnvjitlink/windows-x86_64/libnvjitlink-windows-x86_64-13.2.78-archive.zip</guid>
      <pubDate>Wed, 06 May 2026 21:59:10 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>libnvjitlink-static 13.2.78 [linux-64, linux-aarch64, win-64]</title>
      <description>nvJitLink - Just-in-Time Link Time Optimization (JIT LTO)</description>
      <link>https://docs.nvidia.com/cuda/nvjitlink/index.html</link>
      <comments>https://docs.nvidia.com/cuda/nvjitlink/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/libnvjitlink/windows-x86_64/libnvjitlink-windows-x86_64-13.2.78-archive.zip</guid>
      <pubDate>Wed, 06 May 2026 21:50:03 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>libnvjitlink 13.2.78 [linux-64, linux-aarch64, win-64]</title>
      <description>nvJitLink - Just-in-Time Link Time Optimization (JIT LTO)</description>
      <link>https://docs.nvidia.com/cuda/nvjitlink/</link>
      <comments>https://docs.nvidia.com/cuda/nvjitlink/</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/libnvjitlink/windows-x86_64/libnvjitlink-windows-x86_64-13.2.78-archive.zip</guid>
      <pubDate>Wed, 06 May 2026 21:49:19 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>libnvfatbin-dev 13.2.78 [linux-64, linux-aarch64, win-64]</title>
      <description>NVIDIA compiler library for fatbin interaction</description>
      <link>https://docs.nvidia.com/cuda/index.html</link>
      <comments>https://docs.nvidia.com/cuda/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/libnvfatbin/windows-x86_64/libnvfatbin-windows-x86_64-13.2.78-archive.zip</guid>
      <pubDate>Wed, 06 May 2026 21:44:26 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>libnvfatbin-static 13.2.78 [linux-64, linux-aarch64, win-64]</title>
      <description>NVIDIA compiler library for fatbin interaction</description>
      <link>https://docs.nvidia.com/cuda/index.html</link>
      <comments>https://docs.nvidia.com/cuda/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/libnvfatbin/windows-x86_64/libnvfatbin-windows-x86_64-13.2.78-archive.zip</guid>
      <pubDate>Wed, 06 May 2026 21:44:20 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>libnvfatbin 13.2.78 [linux-64, linux-aarch64, win-64]</title>
      <description>NVIDIA compiler library for fatbin interaction</description>
      <link>https://docs.nvidia.com/cuda/index.html</link>
      <comments>https://docs.nvidia.com/cuda/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/libnvfatbin/windows-x86_64/libnvfatbin-windows-x86_64-13.2.78-archive.zip</guid>
      <pubDate>Wed, 06 May 2026 21:44:16 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>libnpp-dev 13.1.0.48 [linux-64, linux-aarch64, win-64]</title>
      <description>NPP native runtime libraries</description>
      <link>https://docs.nvidia.com/cuda/npp/index.html</link>
      <comments>https://docs.nvidia.com/cuda/npp/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/libnpp/windows-x86_64/libnpp-windows-x86_64-13.1.0.48-archive.zip</guid>
      <pubDate>Wed, 06 May 2026 21:38:34 GMT</pubDate>
      <source>https://developer.nvidia.com/npp</source>
    </item>
    <item>
      <title>libnpp 13.1.0.48 [linux-64, linux-aarch64, win-64]</title>
      <description>NPP native runtime libraries</description>
      <link>https://docs.nvidia.com/cuda/npp/index.html</link>
      <comments>https://docs.nvidia.com/cuda/npp/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/libnpp/windows-x86_64/libnpp-windows-x86_64-13.1.0.48-archive.zip</guid>
      <pubDate>Wed, 06 May 2026 21:37:47 GMT</pubDate>
      <source>https://developer.nvidia.com/npp</source>
    </item>
    <item>
      <title>libnpp-static 13.1.0.48 [linux-64, linux-aarch64]</title>
      <description>NPP native runtime libraries</description>
      <link>https://docs.nvidia.com/cuda/npp/index.html</link>
      <comments>https://docs.nvidia.com/cuda/npp/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/libnpp/linux-sbsa/libnpp-linux-sbsa-13.1.0.48-archive.tar.xz</guid>
      <pubDate>Wed, 06 May 2026 21:37:37 GMT</pubDate>
      <source>https://developer.nvidia.com/npp</source>
    </item>
    <item>
      <title>libcufft-dev 12.2.0.46 [linux-64, linux-aarch64, win-64]</title>
      <description>The cuFFT library provides GPU-accelerated Fast Fourier Transform (FFT) implementations.</description>
      <link>https://docs.nvidia.com/cuda/cufft/</link>
      <comments>https://docs.nvidia.com/cuda/cufft/</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/libcufft/windows-x86_64/libcufft-windows-x86_64-12.2.0.46-archive.zip</guid>
      <pubDate>Wed, 06 May 2026 19:50:17 GMT</pubDate>
      <source>https://developer.nvidia.com/cufft</source>
    </item>
    <item>
      <title>libcufft-static 12.2.0.46 [linux-64, linux-aarch64]</title>
      <description>The cuFFT library provides GPU-accelerated Fast Fourier Transform (FFT) implementations.</description>
      <link>https://docs.nvidia.com/cuda/cufft/</link>
      <comments>https://docs.nvidia.com/cuda/cufft/</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/libcufft/linux-sbsa/libcufft-linux-sbsa-12.2.0.46-archive.tar.xz</guid>
      <pubDate>Wed, 06 May 2026 19:49:24 GMT</pubDate>
      <source>https://developer.nvidia.com/cufft</source>
    </item>
    <item>
      <title>libcufft 12.2.0.46 [linux-64, linux-aarch64, win-64]</title>
      <description>The cuFFT library provides GPU-accelerated Fast Fourier Transform (FFT) implementations.</description>
      <link>https://docs.nvidia.com/cuda/cufft/</link>
      <comments>https://docs.nvidia.com/cuda/cufft/</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/libcufft/windows-x86_64/libcufft-windows-x86_64-12.2.0.46-archive.zip</guid>
      <pubDate>Wed, 06 May 2026 19:48:21 GMT</pubDate>
      <source>https://developer.nvidia.com/cufft</source>
    </item>
    <item>
      <title>libcurand-dev 10.4.2.55 [linux-64, linux-aarch64, win-64]</title>
      <description>cuRAND native runtime libraries</description>
      <link>https://docs.nvidia.com/cuda/curand</link>
      <comments>https://docs.nvidia.com/cuda/curand</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/libcurand/windows-x86_64/libcurand-windows-x86_64-10.4.2.55-archive.zip</guid>
      <pubDate>Wed, 06 May 2026 19:47:12 GMT</pubDate>
      <source>https://developer.nvidia.com/curand</source>
    </item>
    <item>
      <title>libcurand 10.4.2.55 [linux-64, linux-aarch64, win-64]</title>
      <description>cuRAND native runtime libraries</description>
      <link>https://docs.nvidia.com/cuda/curand</link>
      <comments>https://docs.nvidia.com/cuda/curand</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/libcurand/windows-x86_64/libcurand-windows-x86_64-10.4.2.55-archive.zip</guid>
      <pubDate>Wed, 06 May 2026 19:46:51 GMT</pubDate>
      <source>https://developer.nvidia.com/curand</source>
    </item>
    <item>
      <title>libcurand-static 10.4.2.55 [linux-64, linux-aarch64]</title>
      <description>cuRAND native runtime libraries</description>
      <link>https://docs.nvidia.com/cuda/curand</link>
      <comments>https://docs.nvidia.com/cuda/curand</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/libcurand/linux-sbsa/libcurand-linux-sbsa-10.4.2.55-archive.tar.xz</guid>
      <pubDate>Wed, 06 May 2026 19:46:26 GMT</pubDate>
      <source>https://developer.nvidia.com/curand</source>
    </item>
    <item>
      <title>conda-spawn 0.1.0 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>conda-spawn provides a command for running shell commands in activated conda environments without mutating the current shell session.</description>
      <link>https://github.com/conda-incubator/conda-spawn#readme</link>
      <comments>https://github.com/conda-incubator/conda-spawn</comments>
      <guid>https://pypi.org/packages/source/c/conda-spawn/conda_spawn-0.1.0.tar.gz</guid>
      <pubDate>Wed, 06 May 2026 18:22:40 GMT</pubDate>
      <source>https://github.com/conda-incubator/conda-spawn</source>
    </item>
    <item>
      <title>cuda-sanitizer-api 13.2.76 [linux-64, linux-aarch64, win-64]</title>
      <description>Provides a set of APIs to enable third-party tools to write GPU sanitizing tools, such as memory and race checkers.</description>
      <link>https://docs.nvidia.com/compute-sanitizer/SanitizerApiGuide/index.html</link>
      <comments>https://docs.nvidia.com/compute-sanitizer/SanitizerApiGuide/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/cuda_sanitizer_api/windows-x86_64/cuda_sanitizer_api-windows-x86_64-13.2.76-archive.zip</guid>
      <pubDate>Wed, 06 May 2026 18:22:32 GMT</pubDate>
      <source>https://docs.nvidia.com/compute-sanitizer/SanitizerApiGuide/index.html</source>
    </item>
    <item>
      <title>cuda-opencl-dev 13.2.75 [linux-64, win-64]</title>
      <description>CUDA OpenCL native Libraries</description>
      <link>https://docs.nvidia.com/cuda/index.html</link>
      <comments>https://docs.nvidia.com/cuda/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/cuda_opencl/windows-x86_64/cuda_opencl-windows-x86_64-13.2.75-archive.zip</guid>
      <pubDate>Wed, 06 May 2026 18:21:48 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>libcudla-dev 13.2.75 [linux-aarch64]</title>
      <description>cuDLA is an extension of the CUDA programming model to encompass DLA work as well. It provides familiar CUDA programming model to work with DLA, reduces SW complexity (without need for EGLStreams) to interoperate between DLA – GPU for your inference pipelines.</description>
      <link>https://docs.nvidia.com/cuda/index.html</link>
      <comments>https://docs.nvidia.com/cuda/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/libcudla/linux-sbsa/libcudla-linux-sbsa-13.2.75-archive.tar.xz</guid>
      <pubDate>Wed, 06 May 2026 18:21:47 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>cuda-opencl 13.2.75 [linux-64, win-64]</title>
      <description>CUDA OpenCL native Libraries</description>
      <link>https://docs.nvidia.com/cuda/index.html</link>
      <comments>https://docs.nvidia.com/cuda/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/cuda_opencl/windows-x86_64/cuda_opencl-windows-x86_64-13.2.75-archive.zip</guid>
      <pubDate>Wed, 06 May 2026 18:21:44 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>libcudla 13.2.75 [linux-aarch64]</title>
      <description>cuDLA is an extension of the CUDA programming model to encompass DLA work as well. It provides familiar CUDA programming model to work with DLA, reduces SW complexity (without need for EGLStreams) to interoperate between DLA – GPU for your inference pipelines.</description>
      <link>https://docs.nvidia.com/cuda/index.html</link>
      <comments>https://docs.nvidia.com/cuda/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/libcudla/linux-sbsa/libcudla-linux-sbsa-13.2.75-archive.tar.xz</guid>
      <pubDate>Wed, 06 May 2026 18:21:43 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>conda-lockfiles 0.2.0 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>Lock files record the exact state of an environment so that it can be reproduced at a later date or shared with collaborators. conda-lockfiles brings native lockfile support to conda with the ability to create and use lockfiles across multiple formats and platforms. With multiplatform support, you can solve environments once and deploy them consistently across Linux, macOS, and Windows.</description>
      <link>https://conda-incubator.github.io/conda-lockfiles/</link>
      <comments>https://github.com/conda-incubator/conda-lockfiles</comments>
      <guid>https://github.com/conda-incubator/conda-lockfiles/archive/0.2.0.tar.gz</guid>
      <pubDate>Wed, 06 May 2026 17:57:37 GMT</pubDate>
      <source>https://github.com/conda-incubator/conda-lockfiles</source>
    </item>
    <item>
      <title>conda-self 0.2.0 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>A conda self command to manage your base environment safely.</description>
      <link>https://conda-incubator.github.io/conda-self/</link>
      <comments>https://github.com/conda-incubator/conda-self</comments>
      <guid>https://github.com/conda-incubator/conda-self/archive/0.2.0.tar.gz</guid>
      <pubDate>Wed, 06 May 2026 17:34:58 GMT</pubDate>
      <source>https://github.com/conda-incubator/conda-self</source>
    </item>
    <item>
      <title>cuda-nvrtc-dev 13.2.78 [linux-64, linux-aarch64, win-64]</title>
      <description>NVRTC native runtime libraries</description>
      <link>https://docs.nvidia.com/cuda/nvrtc/</link>
      <comments>https://docs.nvidia.com/cuda/nvrtc/</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvrtc/windows-x86_64/cuda_nvrtc-windows-x86_64-13.2.78-archive.zip</guid>
      <pubDate>Wed, 06 May 2026 17:02:13 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>cuda-nvdisasm 13.2.78 [linux-64, linux-aarch64, win-64]</title>
      <description>nvdisasm extracts information from standalone cubin files and presents them in human readable format.</description>
      <link>https://docs.nvidia.com/cuda/cuda-binary-utilities/</link>
      <comments>https://docs.nvidia.com/cuda/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvdisasm/windows-x86_64/cuda_nvdisasm-windows-x86_64-13.2.78-archive.zip</guid>
      <pubDate>Wed, 06 May 2026 16:56:05 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>cuda-nvtx-dev 13.2.75 [linux-64, linux-aarch64, win-64]</title>
      <description>A C-based API for annotating events, code ranges, and resources in your applications. Applications which integrate NVTX can use the Visual Profiler to capture and visualize these events and ranges.</description>
      <link>https://docs.nvidia.com/nvtx/</link>
      <comments>https://docs.nvidia.com/nvtx/</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvtx/windows-x86_64/cuda_nvtx-windows-x86_64-13.2.75-archive.zip</guid>
      <pubDate>Wed, 06 May 2026 16:55:45 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>cuda-nvtx 13.2.75 [linux-64, linux-aarch64]</title>
      <description>A C-based API for annotating events, code ranges, and resources in your applications. Applications which integrate NVTX can use the Visual Profiler to capture and visualize these events and ranges.</description>
      <link>https://docs.nvidia.com/nvtx/</link>
      <comments>https://docs.nvidia.com/nvtx/</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvtx/linux-sbsa/cuda_nvtx-linux-sbsa-13.2.75-archive.tar.xz</guid>
      <pubDate>Wed, 06 May 2026 16:55:08 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>cuda-nvrtc-static 13.2.78 [linux-64, linux-aarch64, win-64]</title>
      <description>NVRTC native runtime libraries</description>
      <link>https://docs.nvidia.com/cuda/nvrtc/</link>
      <comments>https://docs.nvidia.com/cuda/nvrtc/</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvrtc/windows-x86_64/cuda_nvrtc-windows-x86_64-13.2.78-archive.zip</guid>
      <pubDate>Wed, 06 May 2026 16:53:09 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>cuda-cuxxfilt 13.2.78 [linux-64, linux-aarch64, win-64]</title>
      <description>cu++filt decodes (demangles) low-level identifiers that have been mangled by CUDA C++ into user readable names. For every input alphanumeric word, the output of cu++filt is either the demangled name if the name decodes to a CUDA C++ name, or the original name itself.</description>
      <link>https://docs.nvidia.com/cuda/index.html</link>
      <comments>https://docs.nvidia.com/cuda/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/cuda_cuxxfilt/windows-x86_64/cuda_cuxxfilt-windows-x86_64-13.2.78-archive.zip</guid>
      <pubDate>Wed, 06 May 2026 16:52:58 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>cuda-nvml-dev 13.2.82 [linux-64, linux-aarch64, win-64]</title>
      <description>NVML native dev links, headers</description>
      <link>https://docs.nvidia.com/cuda/index.html</link>
      <comments>https://docs.nvidia.com/cuda/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvml_dev/windows-x86_64/cuda_nvml_dev-windows-x86_64-13.2.82-archive.zip</guid>
      <pubDate>Wed, 06 May 2026 16:52:24 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>cuda-nvrtc 13.2.78 [linux-64, linux-aarch64, win-64]</title>
      <description>NVRTC native runtime libraries</description>
      <link>https://docs.nvidia.com/cuda/nvrtc/</link>
      <comments>https://docs.nvidia.com/cuda/nvrtc/</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvrtc/windows-x86_64/cuda_nvrtc-windows-x86_64-13.2.78-archive.zip</guid>
      <pubDate>Wed, 06 May 2026 16:52:19 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>cuda-nvprune 13.2.78 [linux-64, linux-aarch64, win-64]</title>
      <description>Prunes host object files and libraries to only contain device code for the specified targets.</description>
      <link>https://docs.nvidia.com/cuda/index.html</link>
      <comments>https://docs.nvidia.com/cuda/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvprune/windows-x86_64/cuda_nvprune-windows-x86_64-13.2.78-archive.zip</guid>
      <pubDate>Wed, 06 May 2026 16:51:55 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>cuda-culibos-static 13.2.75 [linux-64, linux-aarch64]</title>
      <description>The CUDA cuLIBOS static library is required to link against the static CUDA math libraries.</description>
      <link>https://docs.nvidia.com/cuda/index.html</link>
      <comments>https://docs.nvidia.com/cuda/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/cuda_culibos/linux-sbsa/cuda_culibos-linux-sbsa-13.2.75-archive.tar.xz</guid>
      <pubDate>Wed, 06 May 2026 16:51:42 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>fastembed 0.8.0 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>fastembed is a lightweight, fast, Python library built for embedding generation. It supports popular text models and is designed for ease of use with minimal dependencies. The library uses ONNX Runtime for inference, providing efficient performance on CPU without GPU requirements.</description>
      <link>https://qdrant.github.io/fastembed/</link>
      <comments>https://github.com/qdrant/fastembed</comments>
      <guid>https://pypi.org/packages/source/f/fastembed/fastembed-0.8.0.tar.gz</guid>
      <pubDate>Wed, 06 May 2026 16:50:36 GMT</pubDate>
      <source>https://github.com/qdrant/fastembed</source>
    </item>
    <item>
      <title>pydantic-ai 1.90.0 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>PydanticAI is a Python agent framework designed to make it less painful to build production grade applications with Generative AI.</description>
      <link>https://ai.pydantic.dev</link>
      <comments>https://github.com/pydantic/pydantic-ai</comments>
      <guid>https://pypi.org/packages/source/p/pydantic-ai-slim/pydantic_ai_slim-1.90.0.tar.gz</guid>
      <pubDate>Wed, 06 May 2026 16:40:07 GMT</pubDate>
      <source>https://ai.pydantic.dev</source>
    </item>
    <item>
      <title>pydantic-ai-slim 1.90.0 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>PydanticAI is a Python agent framework designed to make it less painful to build production grade applications with Generative AI.</description>
      <link>https://ai.pydantic.dev</link>
      <comments>https://github.com/pydantic/pydantic-ai</comments>
      <guid>https://pypi.org/packages/source/p/pydantic-ai-slim/pydantic_ai_slim-1.90.0.tar.gz</guid>
      <pubDate>Wed, 06 May 2026 16:39:55 GMT</pubDate>
      <source>https://ai.pydantic.dev</source>
    </item>
    <item>
      <title>cuda-ctadvisor 13.2.78 [linux-64, linux-aarch64, win-64]</title>
      <description>CUDA Compile Time Advisor (ctadvisor) analyzes trace files containing compilation time information generated by NVCC or NVRTC. ctadvisor identifies compilation bottlenecks that take significant amount of time, for examples, template instantiation and headers processing. The tool provides users with suggestions to reduce compilation time.</description>
      <link>https://docs.nvidia.com/cuda/index.html</link>
      <comments>https://docs.nvidia.com/cuda/index.html</comments>
      <guid>https://developer.download.nvidia.com/compute/cuda/redist/cuda_ctadvisor/windows-x86_64/cuda_ctadvisor-windows-x86_64-13.2.78-archive.zip</guid>
      <pubDate>Wed, 06 May 2026 15:58:09 GMT</pubDate>
      <source>https://developer.nvidia.com/cuda-toolkit</source>
    </item>
    <item>
      <title>navigator-updater 0.6.0 [linux-32, linux-64, linux-aarch64, osx-64, osx-arm64, win-32, win-64]</title>
      <description>Anaconda Navigator Updater</description>
      <link>https://docs.anaconda.com/free/navigator/</link>
      <comments>https://github.com/anaconda-distribution/navigator-updater</comments>
      <pubDate>Wed, 06 May 2026 15:58:07 GMT</pubDate>
      <source>https://github.com/anaconda-distribution/navigator-updater</source>
    </item>
    <item>
      <title>torchvision-tests 0.25.0 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>The torchvision package consists of popular datasets, model architectures, and common image transformations for computer vision.</description>
      <link>https://pytorch.org/docs/stable/index.html</link>
      <comments>https://github.com/pytorch/vision</comments>
      <guid>https://github.com/pytorch/vision/archive/refs/tags/v0.25.0.tar.gz</guid>
      <pubDate>Wed, 06 May 2026 15:28:32 GMT</pubDate>
      <source>https://pytorch.org/</source>
    </item>
    <item>
      <title>torchvision 0.25.0 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>The torchvision package consists of popular datasets, model architectures, and common image transformations for computer vision.</description>
      <link>https://pytorch.org/docs/stable/index.html</link>
      <comments>https://github.com/pytorch/vision</comments>
      <guid>https://github.com/pytorch/vision/archive/refs/tags/v0.25.0.tar.gz</guid>
      <pubDate>Wed, 06 May 2026 15:28:19 GMT</pubDate>
      <source>https://pytorch.org/</source>
    </item>
    <item>
      <title>azure-identity 1.25.3 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>The Azure Identity library provides Microsoft Entra ID (formerly Azure Active Directory) token authentication support across the Azure SDK. It provides a set of TokenCredential implementations, which can be used to construct Azure SDK clients that support Microsoft Entra token authentication.</description>
      <link>https://azuresdkdocs.blob.core.windows.net/$web/python/azure-identity/latest/azure.identity.html</link>
      <comments>https://github.com/Azure/azure-sdk-for-python/tree/master/sdk/identity/azure-identity</comments>
      <guid>https://pypi.org/packages/source/a/azure-identity/azure_identity-1.25.3.tar.gz</guid>
      <pubDate>Wed, 06 May 2026 14:32:02 GMT</pubDate>
      <source>https://github.com/Azure/azure-sdk-for-python/tree/master/sdk/identity/azure-identity</source>
    </item>
    <item>
      <title>deepeval 3.9.9 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>DeepEval is a simple-to-use, open-source LLM evaluation framework, for evaluating large-language model systems. It is similar to Pytest but specialized for unit testing LLM apps. DeepEval incorporates the latest research to run evals via metrics such as G-Eval, task completion, answer relevancy, hallucination, etc., which uses LLM-as-a-judge and other NLP models that run locally on your machine.</description>
      <link>https://deepeval.com</link>
      <comments>https://github.com/confident-ai/deepeval</comments>
      <pubDate>Wed, 06 May 2026 14:26:03 GMT</pubDate>
      <source>https://github.com/confident-ai/deepeval</source>
    </item>
    <item>
      <title>mysql 9.3.0 [linux-32, linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-64]</title>
      <description>The MySQL(TM) software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.</description>
      <link>https://dev.mysql.com/doc/refman/8.4/en/</link>
      <comments>https://github.com/mysql/mysql-server</comments>
      <guid>https://cdn.mysql.com/Downloads/MySQL-9.3/mysql-9.3.0.tar.gz</guid>
      <pubDate>Wed, 06 May 2026 13:36:45 GMT</pubDate>
      <source>https://www.mysql.com/</source>
    </item>
    <item>
      <title>mysql-devel 9.3.0 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>Development header files and libraries for MySQL database client applications</description>
      <link>https://cdn.mysql.com/Downloads/MySQL-9.3/mysql-9.3.0.tar.gz</link>
      <guid>https://cdn.mysql.com/Downloads/MySQL-9.3/mysql-9.3.0.tar.gz</guid>
      <pubDate>Wed, 06 May 2026 13:36:23 GMT</pubDate>
    </item>
    <item>
      <title>mysql-server 9.3.0 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>Database server and related tools</description>
      <link>https://cdn.mysql.com/Downloads/MySQL-9.3/mysql-9.3.0.tar.gz</link>
      <guid>https://cdn.mysql.com/Downloads/MySQL-9.3/mysql-9.3.0.tar.gz</guid>
      <pubDate>Wed, 06 May 2026 13:35:41 GMT</pubDate>
    </item>
    <item>
      <title>mysql-libs 9.3.0 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>Shared libraries for MySQL database client applications</description>
      <link>https://cdn.mysql.com/Downloads/MySQL-9.3/mysql-9.3.0.tar.gz</link>
      <guid>https://cdn.mysql.com/Downloads/MySQL-9.3/mysql-9.3.0.tar.gz</guid>
      <pubDate>Wed, 06 May 2026 13:35:13 GMT</pubDate>
    </item>
    <item>
      <title>mysql-client 9.3.0 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>MySQL client applications and tools</description>
      <link>https://cdn.mysql.com/Downloads/MySQL-9.3/mysql-9.3.0.tar.gz</link>
      <guid>https://cdn.mysql.com/Downloads/MySQL-9.3/mysql-9.3.0.tar.gz</guid>
      <pubDate>Wed, 06 May 2026 13:34:41 GMT</pubDate>
    </item>
    <item>
      <title>mysql-router 9.3.0 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>MySQL Router binaries</description>
      <link>https://cdn.mysql.com/Downloads/MySQL-9.3/mysql-9.3.0.tar.gz</link>
      <guid>https://cdn.mysql.com/Downloads/MySQL-9.3/mysql-9.3.0.tar.gz</guid>
      <pubDate>Wed, 06 May 2026 13:34:08 GMT</pubDate>
    </item>
    <item>
      <title>mysql-common 9.3.0 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>Common files for server and client libraries</description>
      <link>https://cdn.mysql.com/Downloads/MySQL-9.3/mysql-9.3.0.tar.gz</link>
      <guid>https://cdn.mysql.com/Downloads/MySQL-9.3/mysql-9.3.0.tar.gz</guid>
      <pubDate>Wed, 06 May 2026 13:33:39 GMT</pubDate>
    </item>
    <item>
      <title>uwsgi 2.0.21 [linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64]</title>
      <description>The uWSGI project aims at developing a full stack for building hosting services. Application servers (for various programming languages and protocols), proxies, process managers and monitors are all implemented.</description>
      <link>https://uwsgi-docs.readthedocs.io</link>
      <comments>https://github.com/unbit/uwsgi</comments>
      <guid>https://github.com/unbit/uWSGI/archive/2.0.21.tar.gz</guid>
      <pubDate>Wed, 06 May 2026 12:42:37 GMT</pubDate>
      <source>https://github.com/unbit/uwsgi</source>
    </item>
    <item>
      <title>pyfiglet 1.0.4 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>pyfiglet is a full port of FIGlet (http://www.figlet.org/) into pure python.</description>
      <link>https://github.com/pwaller/pyfiglet/blob/main/README.md</link>
      <comments>https://github.com/pwaller/pyfiglet</comments>
      <guid>https://pypi.io/packages/source/p/pyfiglet/pyfiglet-1.0.4.tar.gz</guid>
      <pubDate>Wed, 06 May 2026 12:31:25 GMT</pubDate>
      <source>https://github.com/pwaller/pyfiglet</source>
    </item>
    <item>
      <title>posthog 7.14.0 [linux-64, linux-aarch64, linux-s390x, osx-64, osx-arm64, win-64]</title>
      <description>The Python SDK makes it easy to capture events, evaluate feature flags, track errors, and more in your Python apps.</description>
      <link>https://posthog.com/docs/libraries/python</link>
      <comments>https://github.com/PostHog/posthog-python</comments>
      <guid>https://pypi.org/packages/source/p/posthog/posthog-7.14.0.tar.gz</guid>
      <pubDate>Wed, 06 May 2026 12:12:04 GMT</pubDate>
      <source>https://github.com/PostHog/posthog-python</source>
    </item>
    <item>
      <title>xerces-c 3.3.0 [linux-32, linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-32, win-64]</title>
      <description>Xerces-C++ makes it easy to give your application the ability to read and write XML data. A shared library is provided for parsing, generating, manipulating, and validating XML documents using the DOM, SAX, and SAX2 APIs.</description>
      <link>https://xerces.apache.org/xerces-c/program-3.html</link>
      <comments>https://github.com/apache/xerces-c</comments>
      <guid>https://archive.apache.org/dist/xerces/c/3/sources/xerces-c-3.3.0.tar.gz</guid>
      <pubDate>Wed, 06 May 2026 11:06:20 GMT</pubDate>
      <source>https://xerces.apache.org/xerces-c</source>
    </item>
    <item>
      <title>libboost-python-devel 1.88.0 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>Free peer-reviewed portable C++ source libraries.</description>
      <link>https://www.boost.org/doc</link>
      <comments>https://github.com/boostorg/boost</comments>
      <guid>https://archives.boost.io/release/1.88.0/source/boost_1_88_0.tar.bz2</guid>
      <pubDate>Wed, 06 May 2026 10:05:35 GMT</pubDate>
      <source>http://www.boost.org</source>
    </item>
    <item>
      <title>libboost-python 1.88.0 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>Free peer-reviewed portable C++ source libraries.</description>
      <link>https://www.boost.org/doc</link>
      <comments>https://github.com/boostorg/boost</comments>
      <guid>https://archives.boost.io/release/1.88.0/source/boost_1_88_0.tar.bz2</guid>
      <pubDate>Wed, 06 May 2026 10:04:59 GMT</pubDate>
      <source>http://www.boost.org</source>
    </item>
    <item>
      <title>libboost-devel 1.88.0 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>Free peer-reviewed portable C++ source libraries.</description>
      <link>https://www.boost.org/doc</link>
      <comments>https://github.com/boostorg/boost</comments>
      <guid>https://archives.boost.io/release/1.88.0/source/boost_1_88_0.tar.bz2</guid>
      <pubDate>Wed, 06 May 2026 10:03:31 GMT</pubDate>
      <source>http://www.boost.org</source>
    </item>
    <item>
      <title>libboost-headers 1.88.0 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>Free peer-reviewed portable C++ source libraries.</description>
      <link>https://www.boost.org/doc</link>
      <comments>https://github.com/boostorg/boost</comments>
      <guid>https://archives.boost.io/release/1.88.0/source/boost_1_88_0.tar.bz2</guid>
      <pubDate>Wed, 06 May 2026 10:01:24 GMT</pubDate>
      <source>http://www.boost.org</source>
    </item>
    <item>
      <title>libboost 1.88.0 [linux-32, linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-32, win-64]</title>
      <description>Boost is a set of libraries for the C++ programming language that provides support for tasks and structures such as linear algebra, pseudorandom number generation, multithreading, image processing, regular expressions, and unit testing.</description>
      <link>https://www.boost.org/doc</link>
      <comments>https://github.com/boostorg/boost</comments>
      <guid>https://archives.boost.io/release/1.88.0/source/boost_1_88_0.tar.bz2</guid>
      <pubDate>Wed, 06 May 2026 10:00:34 GMT</pubDate>
      <source>http://www.boost.org</source>
    </item>
    <item>
      <title>python-tzdata 2026.2 [noarch]</title>
      <description>This is a Python package containing zic-compiled binaries for the IANA time zone database. It is intended to be a fallback for systems that do not have system time zone data installed (or don't have it installed in a standard location), as a part of PEP 615.</description>
      <link>https://tzdata.readthedocs.io</link>
      <comments>https://github.com/python/tzdata</comments>
      <guid>https://pypi.org/packages/source/t/tzdata/tzdata-2026.2.tar.gz</guid>
      <pubDate>Wed, 06 May 2026 09:45:59 GMT</pubDate>
      <source>https://github.com/python/tzdata</source>
    </item>
    <item>
      <title>jupyter_ydoc 3.4.1 [linux-64, linux-aarch64, linux-ppc64le, osx-64, osx-arm64, win-64]</title>
      <description>jupyter_ydoc provides Ypy-based data structures for various documents used in the Jupyter ecosystem</description>
      <link>https://jupyter-ydoc.readthedocs.io</link>
      <comments>https://github.com/jupyter-server/jupyter_ydoc</comments>
      <guid>https://github.com/jupyter-server/jupyter_ydoc/archive/refs/tags/v3.4.1.tar.gz</guid>
      <pubDate>Wed, 06 May 2026 08:14:28 GMT</pubDate>
      <source>https://github.com/jupyter-server/jupyter_ydoc</source>
    </item>
    <item>
      <title>uutils-coreutils 0.8.0 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>uutils is an attempt at writing universal (as in cross-platform) CLI utilities in Rust. uutils aims to work on as many platforms as possible, to be able to use the same utils on Linux, Mac, Windows and other platforms. This ensures, for example, that scripts can be easily transferred between platforms. Rust was chosen not only because it is fast and safe, but is also excellent for writing cross-platform code.</description>
      <link>https://uutils.github.io/coreutils/docs</link>
      <comments>https://github.com/uutils/coreutils</comments>
      <guid>https://github.com/uutils/coreutils/archive/0.8.0.tar.gz</guid>
      <pubDate>Wed, 06 May 2026 06:29:41 GMT</pubDate>
      <source>https://uutils.github.io/coreutils</source>
    </item>
    <item>
      <title>chromadb 1.5.8 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>Chroma is the open-source embedding database. Chroma makes it easy to build LLM apps by making knowledge, facts, and skills pluggable for LLMs. The Python package ships a Rust-accelerated core (chromadb_rust_bindings) plus a FastAPI server for hosted deployments.</description>
      <link>https://docs.trychroma.com</link>
      <comments>https://github.com/chroma-core/chroma</comments>
      <pubDate>Wed, 06 May 2026 04:20:47 GMT</pubDate>
      <source>https://www.trychroma.com</source>
    </item>
    <item>
      <title>deepspeed 0.18.9 [linux-64, linux-aarch64, osx-arm64]</title>
      <description>DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. It enables world-class training speed, memory efficiency, scalability, and accessibility for large model training and inference.</description>
      <link>https://www.deepspeed.ai/getting-started/</link>
      <comments>https://github.com/deepspeedai/DeepSpeed</comments>
      <guid>https://pypi.org/packages/source/d/deepspeed/deepspeed-0.18.9.tar.gz</guid>
      <pubDate>Wed, 06 May 2026 04:08:44 GMT</pubDate>
      <source>https://www.deepspeed.ai</source>
    </item>
    <item>
      <title>outerbounds 0.12.30 [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>Wed, 06 May 2026 02:29:25 GMT</pubDate>
      <source>https://github.com/outerbounds/ob-packages/tree/master/obp-python-packages/outerbounds</source>
    </item>
    <item>
      <title>ob-metaflow-extensions 1.6.17 [linux-64, linux-aarch64, osx-arm64]</title>
      <description>ob-metaflow-extensions installs the client-side Outerbounds platform extension packages for Metaflow.</description>
      <link>https://github.com/outerbounds/ob-packages/tree/master/obp-python-packages/ob-metaflow-extensions#readme</link>
      <comments>https://github.com/outerbounds/ob-packages/tree/master/obp-python-packages/ob-metaflow-extensions</comments>
      <pubDate>Wed, 06 May 2026 01:19:21 GMT</pubDate>
      <source>https://github.com/outerbounds/ob-packages/tree/master/obp-python-packages/ob-metaflow-extensions</source>
    </item>
    <item>
      <title>pydantic-graph 1.90.0 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>A graph and state machine library built on Pydantic, used as the foundation for structured agent workflows in pydantic-ai.</description>
      <link>https://ai.pydantic.dev/graph</link>
      <comments>https://github.com/pydantic/pydantic-ai/tree/main/pydantic_graph</comments>
      <guid>https://pypi.org/packages/source/p/pydantic-graph/pydantic_graph-1.90.0.tar.gz</guid>
      <pubDate>Wed, 06 May 2026 01:13:00 GMT</pubDate>
      <source>https://ai.pydantic.dev/graph/tree/main/pydantic_graph</source>
    </item>
    <item>
      <title>ob-metaflow-stubs 6.0.12.30 [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, 06 May 2026 01:10:24 GMT</pubDate>
      <source>https://github.com/outerbounds/ob-packages/tree/master/obp-python-packages/ob-metaflow-stubs/stubs</source>
    </item>
    <item>
      <title>ob-metaflow 2.19.21.1 [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, 06 May 2026 00:38:13 GMT</pubDate>
      <source>https://github.com/outerbounds/metaflow</source>
    </item>
    <item>
      <title>metaflow-checkpoint 0.2.10 [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, 06 May 2026 00:03:41 GMT</pubDate>
      <source>https://github.com/outerbounds/metaflow-checkpoint</source>
    </item>
    <item>
      <title>metaflow-torchrun 0.2.1 [linux-64, linux-aarch64, osx-arm64]</title>
      <description>metaflow-torchrun provides a Metaflow extension decorator for running distributed PyTorch programs with torchrun from parallel Metaflow tasks.</description>
      <link>https://github.com/outerbounds/metaflow-torchrun#readme</link>
      <comments>https://github.com/outerbounds/metaflow-torchrun</comments>
      <pubDate>Wed, 06 May 2026 00:02:38 GMT</pubDate>
      <source>https://github.com/outerbounds/metaflow-torchrun</source>
    </item>
    <item>
      <title>ob-project-utils 0.2.34 [linux-64, linux-aarch64, osx-arm64]</title>
      <description>Utilities for managing Outerbounds projects, including CI/CD deployment support, Metaflow extensions, highlight cards, and ProjectFlow helpers.</description>
      <link>https://docs.outerbounds.com/</link>
      <comments>https://github.com/outerbounds</comments>
      <pubDate>Wed, 06 May 2026 00:02:19 GMT</pubDate>
      <source>https://outerbounds.com/</source>
    </item>
    <item>
      <title>opentelemetry-exporter-otlp 1.40.0 [linux-64, linux-aarch64, linux-s390x, osx-64, osx-arm64, win-64]</title>
      <description>This library is provided as a convenience to install all supported OpenTelemetry Collector Exporters.</description>
      <link>https://github.com/open-telemetry/opentelemetry-python/blob/main/exporter/opentelemetry-exporter-otlp/README.rst</link>
      <comments>https://github.com/open-telemetry/opentelemetry-python/tree/main/exporter/opentelemetry-exporter-otlp</comments>
      <guid>https://pypi.org/packages/source/o/opentelemetry-exporter-otlp/opentelemetry_exporter_otlp-1.40.0.tar.gz</guid>
      <pubDate>Tue, 05 May 2026 15:37:55 GMT</pubDate>
      <source>https://github.com/open-telemetry/opentelemetry-python/tree/main/exporter/opentelemetry-exporter-otlp</source>
    </item>
    <item>
      <title>griffe 2.0.2 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>Griffe is a tool to extract the structure of your project to generate API documentation or find breaking changes in your API.  As of v2.0, the project is split into three packages: griffelib (the library that provides the griffe Python module), griffecli (the command-line tools), and griffe (an umbrella metapackage that installs both).</description>
      <link>https://mkdocstrings.github.io/griffe</link>
      <comments>https://github.com/mkdocstrings/griffe</comments>
      <guid>https://pypi.io/packages/source/g/griffe/griffe-1.7.3.tar.gz</guid>
      <pubDate>Tue, 05 May 2026 15:25:24 GMT</pubDate>
      <source>https://mkdocstrings.github.io/griffe</source>
    </item>
    <item>
      <title>griffecli 2.0.2 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>Griffe is a tool to extract the structure of your project to generate API documentation or find breaking changes in your API.  As of v2.0, the project is split into three packages: griffelib (the library that provides the griffe Python module), griffecli (the command-line tools), and griffe (an umbrella metapackage that installs both).</description>
      <link>https://mkdocstrings.github.io/griffe</link>
      <comments>https://github.com/mkdocstrings/griffe</comments>
      <pubDate>Tue, 05 May 2026 15:25:01 GMT</pubDate>
      <source>https://mkdocstrings.github.io/griffe</source>
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