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    <title>anaconda.org/conda-forge</title>
    <link>https://conda.anaconda.org/conda-forge</link>
    <description>The most recent 100 updates for conda-forge.</description>
    <pubDate>Sun, 11 Oct 2026 01:28:51 GMT</pubDate>
    <lastBuildDate>Sun, 11 Oct 2026 01:28:51 GMT</lastBuildDate>
    <item>
      <title>universal-ctags 6.2.20261011.0 [linux-64, linux-aarch64, linux-ppc64le, osx-64, osx-arm64]</title>
      <description>A maintained ctags implementation</description>
      <guid>https://github.com/universal-ctags/ctags/archive/p6.2.20261011.0.tar.gz</guid>
      <pubDate>Sun, 11 Oct 2026 00:56:44 GMT</pubDate>
      <source>https://github.com/universal-ctags/ctags</source>
    </item>
    <item>
      <title>fff-mcp 0.11.0 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>The fastest and the most accurate file search SDK for AI agents, Neovim, Rust, C, Python, Bun and NodeJS.</description>
      <comments>https://github.com/dmtrKovalenko/fff</comments>
      <pubDate>Sun, 11 Oct 2026 00:23:11 GMT</pubDate>
      <source>https://github.com/dmtrKovalenko/fff</source>
    </item>
    <item>
      <title>onnxruntime 1.31.0 [linux-64, linux-aarch64, linux-ppc64le, osx-64, osx-arm64, win-64]</title>
      <description>cross-platform, high performance ML inferencing and training accelerator</description>
      <guid>https://github.com/microsoft/onnxruntime/archive/refs/tags/v1.31.0.tar.gz</guid>
      <pubDate>Sun, 11 Oct 2026 00:00:31 GMT</pubDate>
      <source>https://github.com/microsoft/onnxruntime/</source>
    </item>
    <item>
      <title>spharmgrid 0.4.1 [noarch]</title>
      <description>spharmgrid (spherical harmonic gridding) implements spherical harmonic filtering, regridding, differential operators, and atmospheric kinematics for global Xarray fields, JAX arrays, and PyTorch tensors. It computes relative vorticity, divergence, streamfunction, velocity potential, Helmholtz decomposition, and inverse wind transforms.</description>
      <link>https://spharmgrid.readthedocs.io/</link>
      <comments>https://github.com/mwyau/spharmgrid</comments>
      <pubDate>Sun, 11 Oct 2026 00:00:11 GMT</pubDate>
      <source>https://pypi.org/project/spharmgrid/</source>
    </item>
    <item>
      <title>wifit3 0.4.3 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>A standalone USB Wi-Fi auditor for Linux, Windows, and macOS.</description>
      <comments>https://github.com/derv82/wifit3</comments>
      <pubDate>Sat, 10 Oct 2026 23:59:06 GMT</pubDate>
      <source>https://github.com/derv82/wifit3</source>
    </item>
    <item>
      <title>onnxruntime-cpp 1.31.0 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>cross-platform, high performance ML inferencing and training accelerator</description>
      <guid>https://github.com/microsoft/onnxruntime/archive/refs/tags/v1.31.0.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 23:41:12 GMT</pubDate>
      <source>https://github.com/microsoft/onnxruntime/</source>
    </item>
    <item>
      <title>numpy 2.5.4 [linux-64, linux-aarch64, linux-ppc64le, linux-riscv64, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>NumPy is the fundamental package needed for scientific computing with Python.</description>
      <link>https://numpy.org/doc/stable/</link>
      <comments>https://github.com/numpy/numpy</comments>
      <guid>https://github.com/numpy/numpy/releases/download/v1.14.5/numpy-1.14.5.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 23:38:09 GMT</pubDate>
      <source>http://numpy.org/</source>
    </item>
    <item>
      <title>cyrk 0.20.0 [linux-64, osx-64, win-64]</title>
      <description>CyRK provides fast integration tools to solve systems of ODEs using an adaptive time stepping scheme. CyRK can accept differential equations that are written in pure Python, njited numba, or cython-based cdef functions. These kinds of functions are generally easier to implement than pure c functions and can be used in existing Python software. Using CyRK can speed up development time while avoiding the slow performance that comes with using pure Python-based solvers like SciPy's `solve_ivp`.</description>
      <link>https://cyrk.readthedocs.io/en/latest/</link>
      <comments>https://github.com/jrenaud90/CyRK</comments>
      <guid>https://files.pythonhosted.org/packages/source/C/CyRK/cyrk-0.20.0.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 22:52:23 GMT</pubDate>
      <source>https://github.com/jrenaud90/CyRK</source>
    </item>
    <item>
      <title>onnxruntime-novec 1.31.0 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>cross-platform, high performance ML inferencing and training accelerator</description>
      <guid>https://github.com/microsoft/onnxruntime/archive/refs/tags/v1.31.0.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 22:44:16 GMT</pubDate>
      <source>https://github.com/microsoft/onnxruntime/</source>
    </item>
    <item>
      <title>selenium-manager 4.51.0 [linux-64, osx-64, osx-arm64, win-64]</title>
      <description>Selenium Manager is a standalone tool that automatically manages the browser infrastructure required by Selenium (i.e., browsers and drivers).</description>
      <guid>https://github.com/SeleniumHQ/selenium/archive/refs/tags/selenium-4.27.0.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 22:44:00 GMT</pubDate>
      <source>https://github.com/SeleniumHQ/selenium</source>
    </item>
    <item>
      <title>quax 0.4.5 [noarch]</title>
      <description>quax implements multiple dispatch over abstract array types in JAX. It lets you write ordinary JAX code against array-like objects - symbolic zeros, arrays with units, structured matrices, quantised tensors - and have that code keep working through jit, grad and the other JAX transformations, by routing operations through custom interpreters.</description>
      <comments>https://github.com/nstarman/quax</comments>
      <pubDate>Sat, 10 Oct 2026 22:43:01 GMT</pubDate>
      <source>https://github.com/nstarman/quax</source>
    </item>
    <item>
      <title>strawberry-graphql-with-aiohttp 0.333.0 [noarch]</title>
      <description>A library for creating GraphQL APIs (with [aiohttp])</description>
      <link>https://strawberry.rocks/docs</link>
      <comments>https://github.com/strawberry-graphql/strawberry</comments>
      <guid>https://pypi.org/packages/source/s/strawberry-graphql/strawberry_graphql-0.258.1.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 22:41:15 GMT</pubDate>
      <source>https://pypi.org/project/strawberry-graphql</source>
    </item>
    <item>
      <title>strawberry-graphql-with-apollo-federation 0.333.0 [noarch]</title>
      <description>A library for creating GraphQL APIs (with [apollo-federation])</description>
      <link>https://strawberry.rocks/docs</link>
      <comments>https://github.com/strawberry-graphql/strawberry</comments>
      <pubDate>Sat, 10 Oct 2026 22:41:15 GMT</pubDate>
      <source>https://pypi.org/project/strawberry-graphql</source>
    </item>
    <item>
      <title>strawberry-graphql-with-asgi 0.333.0 [noarch]</title>
      <description>A library for creating GraphQL APIs (with [asgi])</description>
      <link>https://strawberry.rocks/docs</link>
      <comments>https://github.com/strawberry-graphql/strawberry</comments>
      <guid>https://pypi.org/packages/source/s/strawberry-graphql/strawberry_graphql-0.258.1.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 22:41:15 GMT</pubDate>
      <source>https://pypi.org/project/strawberry-graphql</source>
    </item>
    <item>
      <title>strawberry-graphql-with-chalice 0.333.0 [noarch]</title>
      <description>A library for creating GraphQL APIs (with [chalice])</description>
      <link>https://strawberry.rocks/docs</link>
      <comments>https://github.com/strawberry-graphql/strawberry</comments>
      <guid>https://pypi.org/packages/source/s/strawberry-graphql/strawberry_graphql-0.258.1.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 22:41:15 GMT</pubDate>
      <source>https://pypi.org/project/strawberry-graphql</source>
    </item>
    <item>
      <title>strawberry-graphql-with-channels 0.333.0 [noarch]</title>
      <description>A library for creating GraphQL APIs (with [channels])</description>
      <link>https://strawberry.rocks/docs</link>
      <comments>https://github.com/strawberry-graphql/strawberry</comments>
      <guid>https://pypi.org/packages/source/s/strawberry-graphql/strawberry_graphql-0.258.1.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 22:41:15 GMT</pubDate>
      <source>https://pypi.org/project/strawberry-graphql</source>
    </item>
    <item>
      <title>strawberry-graphql-with-cli 0.333.0 [noarch]</title>
      <description>A library for creating GraphQL APIs (with [cli])</description>
      <link>https://strawberry.rocks/docs</link>
      <comments>https://github.com/strawberry-graphql/strawberry</comments>
      <guid>https://pypi.org/packages/source/s/strawberry-graphql/strawberry_graphql-0.258.1.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 22:41:15 GMT</pubDate>
      <source>https://pypi.org/project/strawberry-graphql</source>
    </item>
    <item>
      <title>strawberry-graphql-with-debug 0.333.0 [noarch]</title>
      <description>A library for creating GraphQL APIs (with [debug])</description>
      <link>https://strawberry.rocks/docs</link>
      <comments>https://github.com/strawberry-graphql/strawberry</comments>
      <guid>https://pypi.org/packages/source/s/strawberry-graphql/strawberry_graphql-0.258.1.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 22:41:15 GMT</pubDate>
      <source>https://pypi.org/project/strawberry-graphql</source>
    </item>
    <item>
      <title>strawberry-graphql-with-django 0.333.0 [noarch]</title>
      <description>A library for creating GraphQL APIs (with [django])</description>
      <link>https://strawberry.rocks/docs</link>
      <comments>https://github.com/strawberry-graphql/strawberry</comments>
      <guid>https://pypi.org/packages/source/s/strawberry-graphql/strawberry_graphql-0.258.1.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 22:41:15 GMT</pubDate>
      <source>https://pypi.org/project/strawberry-graphql</source>
    </item>
    <item>
      <title>strawberry-graphql-with-fastapi 0.333.0 [noarch]</title>
      <description>A library for creating GraphQL APIs (with [fastapi])</description>
      <link>https://strawberry.rocks/docs</link>
      <comments>https://github.com/strawberry-graphql/strawberry</comments>
      <guid>https://pypi.org/packages/source/s/strawberry-graphql/strawberry_graphql-0.258.1.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 22:41:15 GMT</pubDate>
      <source>https://pypi.org/project/strawberry-graphql</source>
    </item>
    <item>
      <title>strawberry-graphql-with-flask 0.333.0 [noarch]</title>
      <description>A library for creating GraphQL APIs (with [flask])</description>
      <link>https://strawberry.rocks/docs</link>
      <comments>https://github.com/strawberry-graphql/strawberry</comments>
      <guid>https://pypi.org/packages/source/s/strawberry-graphql/strawberry_graphql-0.258.1.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 22:41:15 GMT</pubDate>
      <source>https://pypi.org/project/strawberry-graphql</source>
    </item>
    <item>
      <title>strawberry-graphql-with-litestar 0.333.0 [noarch]</title>
      <description>A library for creating GraphQL APIs (with [litestar])</description>
      <link>https://strawberry.rocks/docs</link>
      <comments>https://github.com/strawberry-graphql/strawberry</comments>
      <guid>https://pypi.org/packages/source/s/strawberry-graphql/strawberry_graphql-0.258.1.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 22:41:15 GMT</pubDate>
      <source>https://pypi.org/project/strawberry-graphql</source>
    </item>
    <item>
      <title>strawberry-graphql-with-opentelemetry 0.333.0 [noarch]</title>
      <description>A library for creating GraphQL APIs (with [opentelemetry])</description>
      <link>https://strawberry.rocks/docs</link>
      <comments>https://github.com/strawberry-graphql/strawberry</comments>
      <guid>https://pypi.org/packages/source/s/strawberry-graphql/strawberry_graphql-0.258.1.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 22:41:15 GMT</pubDate>
      <source>https://pypi.org/project/strawberry-graphql</source>
    </item>
    <item>
      <title>strawberry-graphql-with-pydantic 0.333.0 [noarch]</title>
      <description>A library for creating GraphQL APIs (with [pydantic])</description>
      <link>https://strawberry.rocks/docs</link>
      <comments>https://github.com/strawberry-graphql/strawberry</comments>
      <guid>https://pypi.org/packages/source/s/strawberry-graphql/strawberry_graphql-0.258.1.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 22:41:15 GMT</pubDate>
      <source>https://pypi.org/project/strawberry-graphql</source>
    </item>
    <item>
      <title>strawberry-graphql-with-pyinstrument 0.333.0 [noarch]</title>
      <description>A library for creating GraphQL APIs (with [pyinstrument])</description>
      <link>https://strawberry.rocks/docs</link>
      <comments>https://github.com/strawberry-graphql/strawberry</comments>
      <guid>https://pypi.org/packages/source/s/strawberry-graphql/strawberry_graphql-0.258.1.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 22:41:15 GMT</pubDate>
      <source>https://pypi.org/project/strawberry-graphql</source>
    </item>
    <item>
      <title>strawberry-graphql-with-quart 0.333.0 [noarch]</title>
      <description>A library for creating GraphQL APIs (with [quart])</description>
      <link>https://strawberry.rocks/docs</link>
      <comments>https://github.com/strawberry-graphql/strawberry</comments>
      <guid>https://pypi.org/packages/source/s/strawberry-graphql/strawberry_graphql-0.258.1.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 22:41:15 GMT</pubDate>
      <source>https://pypi.org/project/strawberry-graphql</source>
    </item>
    <item>
      <title>strawberry-graphql-with-sanic 0.333.0 [noarch]</title>
      <description>A library for creating GraphQL APIs (with [sanic])</description>
      <link>https://strawberry.rocks/docs</link>
      <comments>https://github.com/strawberry-graphql/strawberry</comments>
      <guid>https://pypi.org/packages/source/s/strawberry-graphql/strawberry_graphql-0.258.1.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 22:41:15 GMT</pubDate>
      <source>https://pypi.org/project/strawberry-graphql</source>
    </item>
    <item>
      <title>torch-harmonics 0.9.3 [linux-64, osx-64]</title>
      <description>Differentiable signal processing on the sphere for PyTorch.</description>
      <guid>https://github.com/NVIDIA/torch-harmonics/archive/refs/tags/v0.9.3.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 22:39:28 GMT</pubDate>
      <source>https://github.com/NVIDIA/torch-harmonics</source>
    </item>
    <item>
      <title>onnxruntime-novec-cpp 1.31.0 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>cross-platform, high performance ML inferencing and training accelerator</description>
      <guid>https://github.com/microsoft/onnxruntime/archive/refs/tags/v1.31.0.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 22:29:16 GMT</pubDate>
      <source>https://github.com/microsoft/onnxruntime/</source>
    </item>
    <item>
      <title>datui 0.4.7 [linux-64, osx-64, osx-arm64, win-64]</title>
      <description>Datui is a high-performance terminal UI for exploring and analyzing tabular datasets.</description>
      <link>https://derekwisong.github.io/datui/</link>
      <comments>https://github.com/derekwisong/datui</comments>
      <pubDate>Sat, 10 Oct 2026 22:17:29 GMT</pubDate>
      <source>https://github.com/derekwisong/datui</source>
    </item>
    <item>
      <title>zig 0.17.0 [linux-64, linux-aarch64, linux-ppc64le, linux-riscv64, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>Zig is a general-purpose programming language and toolchain for maintaining robust, optimal, and reusable software. Robust: Behavior is correct even for edge cases such as out of memory. Optimal: Write programs the best way they can behave and perform. Reusable: The same code works in many environments which have different constraints. Maintainable: Precisely communicate intent to the compiler and other programmers.   The language imposes a low overhead to reading code and is resilient to changing requirements and environments.</description>
      <link>https://ziglang.org/documentation/0.17.0/</link>
      <comments>https://github.com/ziglang/zig</comments>
      <guid>https://github.com/ziglang/zig/archive/refs/tags/0.9.0.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 21:26:58 GMT</pubDate>
      <source>https://ziglang.org/</source>
    </item>
    <item>
      <title>zig-compiler 0.17.0 [linux-64, linux-aarch64, linux-ppc64le, linux-riscv64, noarch, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>Zig is a general-purpose programming language and toolchain for maintaining robust, optimal, and reusable software. Robust: Behavior is correct even for edge cases such as out of memory. Optimal: Write programs the best way they can behave and perform. Reusable: The same code works in many environments which have different constraints. Maintainable: Precisely communicate intent to the compiler and other programmers.   The language imposes a low overhead to reading code and is resilient to changing requirements and environments.</description>
      <link>https://ziglang.org/documentation/0.17.0/</link>
      <comments>https://github.com/ziglang/zig</comments>
      <pubDate>Sat, 10 Oct 2026 21:26:58 GMT</pubDate>
      <source>https://ziglang.org/</source>
    </item>
    <item>
      <title>zig_impl_win-arm64 0.17.0 [win-arm64]</title>
      <description>Zig is a general-purpose programming language and toolchain for maintaining robust, optimal, and reusable software. Robust: Behavior is correct even for edge cases such as out of memory. Optimal: Write programs the best way they can behave and perform. Reusable: The same code works in many environments which have different constraints. Maintainable: Precisely communicate intent to the compiler and other programmers.   The language imposes a low overhead to reading code and is resilient to changing requirements and environments.</description>
      <link>https://ziglang.org/documentation/0.17.0/</link>
      <comments>https://github.com/ziglang/zig</comments>
      <pubDate>Sat, 10 Oct 2026 21:26:58 GMT</pubDate>
      <source>https://ziglang.org/</source>
    </item>
    <item>
      <title>zig_win-arm64 0.17.0 [win-64, win-arm64]</title>
      <description>Zig is a general-purpose programming language and toolchain for maintaining robust, optimal, and reusable software. Robust: Behavior is correct even for edge cases such as out of memory. Optimal: Write programs the best way they can behave and perform. Reusable: The same code works in many environments which have different constraints. Maintainable: Precisely communicate intent to the compiler and other programmers.   The language imposes a low overhead to reading code and is resilient to changing requirements and environments.</description>
      <link>https://ziglang.org/documentation/0.17.0/</link>
      <comments>https://github.com/ziglang/zig</comments>
      <pubDate>Sat, 10 Oct 2026 21:26:58 GMT</pubDate>
      <source>https://ziglang.org/</source>
    </item>
    <item>
      <title>zig_win-64 0.17.0 [win-64, win-arm64]</title>
      <description>Zig is a general-purpose programming language and toolchain for maintaining robust, optimal, and reusable software. Robust: Behavior is correct even for edge cases such as out of memory. Optimal: Write programs the best way they can behave and perform. Reusable: The same code works in many environments which have different constraints. Maintainable: Precisely communicate intent to the compiler and other programmers.   The language imposes a low overhead to reading code and is resilient to changing requirements and environments.</description>
      <link>https://ziglang.org/documentation/0.17.0/</link>
      <comments>https://github.com/ziglang/zig</comments>
      <pubDate>Sat, 10 Oct 2026 21:26:55 GMT</pubDate>
      <source>https://ziglang.org/</source>
    </item>
    <item>
      <title>zig_win-32 0.17.0 [win-64, win-arm64]</title>
      <description>Zig is a general-purpose programming language and toolchain for maintaining robust, optimal, and reusable software. Robust: Behavior is correct even for edge cases such as out of memory. Optimal: Write programs the best way they can behave and perform. Reusable: The same code works in many environments which have different constraints. Maintainable: Precisely communicate intent to the compiler and other programmers.   The language imposes a low overhead to reading code and is resilient to changing requirements and environments.</description>
      <link>https://ziglang.org/documentation/0.17.0/</link>
      <comments>https://github.com/ziglang/zig</comments>
      <pubDate>Sat, 10 Oct 2026 21:26:16 GMT</pubDate>
      <source>https://ziglang.org/</source>
    </item>
    <item>
      <title>zig_impl_win-64 0.17.0 [win-64]</title>
      <description>Zig is a general-purpose programming language and toolchain for maintaining robust, optimal, and reusable software. Robust: Behavior is correct even for edge cases such as out of memory. Optimal: Write programs the best way they can behave and perform. Reusable: The same code works in many environments which have different constraints. Maintainable: Precisely communicate intent to the compiler and other programmers.   The language imposes a low overhead to reading code and is resilient to changing requirements and environments.</description>
      <link>https://ziglang.org/documentation/0.17.0/</link>
      <comments>https://github.com/ziglang/zig</comments>
      <pubDate>Sat, 10 Oct 2026 21:25:42 GMT</pubDate>
      <source>https://ziglang.org/</source>
    </item>
    <item>
      <title>zig_impl_linux-64 0.17.0 [linux-64]</title>
      <description>Zig is a general-purpose programming language and toolchain for maintaining robust, optimal, and reusable software. Robust: Behavior is correct even for edge cases such as out of memory. Optimal: Write programs the best way they can behave and perform. Reusable: The same code works in many environments which have different constraints. Maintainable: Precisely communicate intent to the compiler and other programmers.   The language imposes a low overhead to reading code and is resilient to changing requirements and environments.</description>
      <link>https://ziglang.org/documentation/0.17.0/</link>
      <comments>https://github.com/ziglang/zig</comments>
      <pubDate>Sat, 10 Oct 2026 21:24:47 GMT</pubDate>
      <source>https://ziglang.org/</source>
    </item>
    <item>
      <title>zig_linux-s390x 0.17.0 [linux-64, linux-aarch64]</title>
      <description>Zig is a general-purpose programming language and toolchain for maintaining robust, optimal, and reusable software. Robust: Behavior is correct even for edge cases such as out of memory. Optimal: Write programs the best way they can behave and perform. Reusable: The same code works in many environments which have different constraints. Maintainable: Precisely communicate intent to the compiler and other programmers.   The language imposes a low overhead to reading code and is resilient to changing requirements and environments.</description>
      <link>https://ziglang.org/documentation/0.17.0/</link>
      <comments>https://github.com/ziglang/zig</comments>
      <pubDate>Sat, 10 Oct 2026 21:23:53 GMT</pubDate>
      <source>https://ziglang.org/</source>
    </item>
    <item>
      <title>zig_impl_linux-ppc64le 0.17.0 [linux-ppc64le]</title>
      <description>Zig is a general-purpose programming language and toolchain for maintaining robust, optimal, and reusable software. Robust: Behavior is correct even for edge cases such as out of memory. Optimal: Write programs the best way they can behave and perform. Reusable: The same code works in many environments which have different constraints. Maintainable: Precisely communicate intent to the compiler and other programmers.   The language imposes a low overhead to reading code and is resilient to changing requirements and environments.</description>
      <link>https://ziglang.org/documentation/0.17.0/</link>
      <comments>https://github.com/ziglang/zig</comments>
      <pubDate>Sat, 10 Oct 2026 21:23:46 GMT</pubDate>
      <source>https://ziglang.org/</source>
    </item>
    <item>
      <title>zig_linux-ppc64le 0.17.0 [linux-64, linux-aarch64, linux-ppc64le]</title>
      <description>Zig is a general-purpose programming language and toolchain for maintaining robust, optimal, and reusable software. Robust: Behavior is correct even for edge cases such as out of memory. Optimal: Write programs the best way they can behave and perform. Reusable: The same code works in many environments which have different constraints. Maintainable: Precisely communicate intent to the compiler and other programmers.   The language imposes a low overhead to reading code and is resilient to changing requirements and environments.</description>
      <link>https://ziglang.org/documentation/0.17.0/</link>
      <comments>https://github.com/ziglang/zig</comments>
      <pubDate>Sat, 10 Oct 2026 21:23:46 GMT</pubDate>
      <source>https://ziglang.org/</source>
    </item>
    <item>
      <title>zig_impl_linux-riscv64 0.17.0 [linux-riscv64]</title>
      <description>Zig is a general-purpose programming language and toolchain for maintaining robust, optimal, and reusable software. Robust: Behavior is correct even for edge cases such as out of memory. Optimal: Write programs the best way they can behave and perform. Reusable: The same code works in many environments which have different constraints. Maintainable: Precisely communicate intent to the compiler and other programmers.   The language imposes a low overhead to reading code and is resilient to changing requirements and environments.</description>
      <link>https://ziglang.org/documentation/0.17.0/</link>
      <comments>https://github.com/ziglang/zig</comments>
      <pubDate>Sat, 10 Oct 2026 21:23:45 GMT</pubDate>
      <source>https://ziglang.org/</source>
    </item>
    <item>
      <title>zig_linux-riscv64 0.17.0 [linux-64, linux-aarch64, linux-riscv64]</title>
      <description>Zig is a general-purpose programming language and toolchain for maintaining robust, optimal, and reusable software. Robust: Behavior is correct even for edge cases such as out of memory. Optimal: Write programs the best way they can behave and perform. Reusable: The same code works in many environments which have different constraints. Maintainable: Precisely communicate intent to the compiler and other programmers.   The language imposes a low overhead to reading code and is resilient to changing requirements and environments.</description>
      <link>https://ziglang.org/documentation/0.17.0/</link>
      <comments>https://github.com/ziglang/zig</comments>
      <pubDate>Sat, 10 Oct 2026 21:23:45 GMT</pubDate>
      <source>https://ziglang.org/</source>
    </item>
    <item>
      <title>zig_linux-64 0.17.0 [linux-64, linux-aarch64]</title>
      <description>Zig is a general-purpose programming language and toolchain for maintaining robust, optimal, and reusable software. Robust: Behavior is correct even for edge cases such as out of memory. Optimal: Write programs the best way they can behave and perform. Reusable: The same code works in many environments which have different constraints. Maintainable: Precisely communicate intent to the compiler and other programmers.   The language imposes a low overhead to reading code and is resilient to changing requirements and environments.</description>
      <link>https://ziglang.org/documentation/0.17.0/</link>
      <comments>https://github.com/ziglang/zig</comments>
      <pubDate>Sat, 10 Oct 2026 21:23:40 GMT</pubDate>
      <source>https://ziglang.org/</source>
    </item>
    <item>
      <title>zig_osx-64 0.17.0 [osx-64, osx-arm64]</title>
      <description>Zig is a general-purpose programming language and toolchain for maintaining robust, optimal, and reusable software. Robust: Behavior is correct even for edge cases such as out of memory. Optimal: Write programs the best way they can behave and perform. Reusable: The same code works in many environments which have different constraints. Maintainable: Precisely communicate intent to the compiler and other programmers.   The language imposes a low overhead to reading code and is resilient to changing requirements and environments.</description>
      <link>https://ziglang.org/documentation/0.17.0/</link>
      <comments>https://github.com/ziglang/zig</comments>
      <pubDate>Sat, 10 Oct 2026 21:23:38 GMT</pubDate>
      <source>https://ziglang.org/</source>
    </item>
    <item>
      <title>zig_impl_osx-64 0.17.0 [osx-64]</title>
      <description>Zig is a general-purpose programming language and toolchain for maintaining robust, optimal, and reusable software. Robust: Behavior is correct even for edge cases such as out of memory. Optimal: Write programs the best way they can behave and perform. Reusable: The same code works in many environments which have different constraints. Maintainable: Precisely communicate intent to the compiler and other programmers.   The language imposes a low overhead to reading code and is resilient to changing requirements and environments.</description>
      <link>https://ziglang.org/documentation/0.17.0/</link>
      <comments>https://github.com/ziglang/zig</comments>
      <pubDate>Sat, 10 Oct 2026 21:23:36 GMT</pubDate>
      <source>https://ziglang.org/</source>
    </item>
    <item>
      <title>zig_impl_linux-aarch64 0.17.0 [linux-aarch64]</title>
      <description>Zig is a general-purpose programming language and toolchain for maintaining robust, optimal, and reusable software. Robust: Behavior is correct even for edge cases such as out of memory. Optimal: Write programs the best way they can behave and perform. Reusable: The same code works in many environments which have different constraints. Maintainable: Precisely communicate intent to the compiler and other programmers.   The language imposes a low overhead to reading code and is resilient to changing requirements and environments.</description>
      <link>https://ziglang.org/documentation/0.17.0/</link>
      <comments>https://github.com/ziglang/zig</comments>
      <pubDate>Sat, 10 Oct 2026 21:23:34 GMT</pubDate>
      <source>https://ziglang.org/</source>
    </item>
    <item>
      <title>zig_impl_osx-arm64 0.17.0 [osx-arm64]</title>
      <description>Zig is a general-purpose programming language and toolchain for maintaining robust, optimal, and reusable software. Robust: Behavior is correct even for edge cases such as out of memory. Optimal: Write programs the best way they can behave and perform. Reusable: The same code works in many environments which have different constraints. Maintainable: Precisely communicate intent to the compiler and other programmers.   The language imposes a low overhead to reading code and is resilient to changing requirements and environments.</description>
      <link>https://ziglang.org/documentation/0.17.0/</link>
      <comments>https://github.com/ziglang/zig</comments>
      <pubDate>Sat, 10 Oct 2026 21:23:34 GMT</pubDate>
      <source>https://ziglang.org/</source>
    </item>
    <item>
      <title>zig_linux-aarch64 0.17.0 [linux-64, linux-aarch64]</title>
      <description>Zig is a general-purpose programming language and toolchain for maintaining robust, optimal, and reusable software. Robust: Behavior is correct even for edge cases such as out of memory. Optimal: Write programs the best way they can behave and perform. Reusable: The same code works in many environments which have different constraints. Maintainable: Precisely communicate intent to the compiler and other programmers.   The language imposes a low overhead to reading code and is resilient to changing requirements and environments.</description>
      <link>https://ziglang.org/documentation/0.17.0/</link>
      <comments>https://github.com/ziglang/zig</comments>
      <pubDate>Sat, 10 Oct 2026 21:23:34 GMT</pubDate>
      <source>https://ziglang.org/</source>
    </item>
    <item>
      <title>zig_osx-arm64 0.17.0 [osx-64, osx-arm64]</title>
      <description>Zig is a general-purpose programming language and toolchain for maintaining robust, optimal, and reusable software. Robust: Behavior is correct even for edge cases such as out of memory. Optimal: Write programs the best way they can behave and perform. Reusable: The same code works in many environments which have different constraints. Maintainable: Precisely communicate intent to the compiler and other programmers.   The language imposes a low overhead to reading code and is resilient to changing requirements and environments.</description>
      <link>https://ziglang.org/documentation/0.17.0/</link>
      <comments>https://github.com/ziglang/zig</comments>
      <pubDate>Sat, 10 Oct 2026 21:23:34 GMT</pubDate>
      <source>https://ziglang.org/</source>
    </item>
    <item>
      <title>go-tools 0.52.0 [linux-64, linux-aarch64, linux-ppc64le, osx-64, osx-arm64, win-64]</title>
      <description>Miscellaneous go tools</description>
      <comments>https://github.com/golang/tools</comments>
      <guid>https://github.com/golang/tools/archive/v0.32.0.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 21:08:01 GMT</pubDate>
      <source>https://golang.org/x/tools</source>
    </item>
    <item>
      <title>langchain-google-genai 4.4.1 [noarch]</title>
      <description>An integration package connecting Google's genai package and LangChain</description>
      <guid>https://files.pythonhosted.org/packages/source/l/langchain-google-genai/langchain_google_genai-4.4.0.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 20:44:19 GMT</pubDate>
      <source>https://github.com/langchain-ai/langchain-google</source>
    </item>
    <item>
      <title>upterm 0.37.0 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>Upterm is an open-source tool enabling developers to share terminal sessions securely over the web. It is designed for remote pair programming, accessing systems behind firewalls, and remote debugging. Written in Go, it compiles into a single binary with no runtime dependencies.</description>
      <link>https://upterm.dev/</link>
      <comments>https://github.com/owenthereal/upterm</comments>
      <pubDate>Sat, 10 Oct 2026 20:35:20 GMT</pubDate>
      <source>https://github.com/owenthereal/upterm</source>
    </item>
    <item>
      <title>fs.googledrivefs 2.6.3 [noarch]</title>
      <description>Pyfilesystem2 implementation for Google Drive</description>
      <guid>https://files.pythonhosted.org/packages/source/f/fs.googledrivefs/fs_googledrivefs-2.6.3.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 20:32:01 GMT</pubDate>
      <source>https://github.com/rkhwaja/fs.googledrivefs</source>
    </item>
    <item>
      <title>hermes-agent 2026.7.20 [noarch]</title>
      <description>**The self-improving AI agent built by [Nous Research](https://nousresearch.com).** It's the only agent with a built-in learning loop — it creates skills from experience, improves them during use, nudges itself to persist knowledge, searches its own past conversations, and builds a deepening model of who you are across sessions. Run it on a $5 VPS, a GPU cluster, or serverless infrastructure that costs nearly nothing when idle. It's not tied to your laptop — talk to it from Telegram while it works on a cloud VM.  Use any model you want — [Nous Portal](https://portal.nousresearch.com), OpenRouter, OpenAI, your own endpoint, and [many others](https://hermes-agent.nousresearch.com/docs/integrations/providers). Switch with `hermes model` — no code changes, no lock-in.</description>
      <link>https://hermes-agent.nousresearch.com/docs</link>
      <comments>https://github.com/NousResearch/hermes-agent</comments>
      <pubDate>Sat, 10 Oct 2026 20:18:17 GMT</pubDate>
      <source>https://hermes-agent.nousresearch.com/</source>
    </item>
    <item>
      <title>enumlib.jl 0.4.0 [linux-64, osx-64]</title>
      <description>Enumlib.jl generates the derivative superstructures of a parent lattice, including multilattices such as HCP, over all concentrations or a restricted concentration range. It is a from-scratch Julia reimplementation of enumlib by one of its original authors, and a drop-in replacement for the Fortran enum.x: the struct_enum.in / struct_enum.out file contract is unchanged.  This package provides the enum.x, polya.x and makestr.x executables, compiled ahead of time with a bundled Julia system image, so no Julia installation is required to run them.</description>
      <link>https://glwhart.github.io/Enumlib.jl</link>
      <comments>https://github.com/glwhart/Enumlib.jl</comments>
      <pubDate>Sat, 10 Oct 2026 20:14:24 GMT</pubDate>
      <source>https://github.com/glwhart/Enumlib.jl</source>
    </item>
    <item>
      <title>fsautocomplete 0.85.2 [noarch]</title>
      <description>F# language server using Language Server Protocol</description>
      <pubDate>Sat, 10 Oct 2026 20:08:50 GMT</pubDate>
      <source>https://github.com/fsharp/fsautocomplete</source>
    </item>
    <item>
      <title>pyramids-parquet 0.66.0 [noarch]</title>
      <description>GIS utility package.</description>
      <link>https://serapeum-org.github.io/pyramids</link>
      <comments>https://github.com/serapeum-org/pyramids</comments>
      <guid>https://github.com/serapeum-org/pyramids/archive/0.66.0.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 19:43:55 GMT</pubDate>
      <source>https://github.com/serapeum-org/pyramids</source>
    </item>
    <item>
      <title>pyramids-lazy 0.66.0 [noarch]</title>
      <description>GIS utility package.</description>
      <link>https://serapeum-org.github.io/pyramids</link>
      <comments>https://github.com/serapeum-org/pyramids</comments>
      <guid>https://github.com/serapeum-org/pyramids/archive/0.66.0.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 19:43:54 GMT</pubDate>
      <source>https://github.com/serapeum-org/pyramids</source>
    </item>
    <item>
      <title>pyramids-stac 0.66.0 [noarch]</title>
      <description>GIS utility package.</description>
      <link>https://serapeum-org.github.io/pyramids</link>
      <comments>https://github.com/serapeum-org/pyramids</comments>
      <guid>https://github.com/serapeum-org/pyramids/archive/0.66.0.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 19:43:54 GMT</pubDate>
      <source>https://github.com/serapeum-org/pyramids</source>
    </item>
    <item>
      <title>pyramids-viz 0.66.0 [noarch]</title>
      <description>GIS utility package.</description>
      <link>https://serapeum-org.github.io/pyramids</link>
      <comments>https://github.com/serapeum-org/pyramids</comments>
      <guid>https://github.com/serapeum-org/pyramids/archive/0.66.0.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 19:43:54 GMT</pubDate>
      <source>https://github.com/serapeum-org/pyramids</source>
    </item>
    <item>
      <title>stylua 2.6.0 [linux-64, linux-aarch64, linux-ppc64le, osx-64, osx-arm64, win-64]</title>
      <description>Opinionated Lua code formatter</description>
      <comments>https://github.com/JohnnyMorganz/StyLua</comments>
      <pubDate>Sat, 10 Oct 2026 19:22:04 GMT</pubDate>
      <source>https://github.com/JohnnyMorganz/StyLua</source>
    </item>
    <item>
      <title>hololinked 0.4.1 [noarch]</title>
      <description>A ZMQ-based protocol-agnostic object oriented RPC toolkit primarily focussed for instrumentation control, data acquisition or IoT</description>
      <guid>https://files.pythonhosted.org/packages/source/h/hololinked/hololinked-0.4.1.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 19:06:32 GMT</pubDate>
      <source>https://github.com/hololinked-dev/hololinked</source>
    </item>
    <item>
      <title>soapysdr-module-redpitaya 0.1.2 [linux-64, linux-aarch64, linux-ppc64le, osx-64, osx-arm64, win-64]</title>
      <description>The Soapy Red Pitaya project provides a plugin module to use the Red Pitaya device within the SoapySDR API and software that supports SoapySDR.</description>
      <link>https://github.com/pothosware/SoapyRedPitaya/wiki</link>
      <comments>https://github.com/pothosware/SoapyRedPitaya</comments>
      <guid>https://github.com/pothosware/SoapyRedPitaya/archive/soapy-redpitaya-0.1.2.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 18:53:31 GMT</pubDate>
      <source>https://github.com/pothosware/SoapyRedPitaya/wiki</source>
    </item>
    <item>
      <title>superset 4.1.2 [linux-64, noarch, osx-64, win-64]</title>
      <description>A modern, enterprise-ready business intelligence web application</description>
      <link>https://superset.incubator.apache.org</link>
      <comments>https://github.com/apache/incubating-superset</comments>
      <guid>https://pypi.org/packages/source/a/apache-superset/apache-superset-4.1.2.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 18:51:31 GMT</pubDate>
      <source>https://superset.apache.org/</source>
    </item>
    <item>
      <title>colgrep 1.8.5 [linux-64, osx-64, osx-arm64, win-64]</title>
      <description>ColGREP is a terminal-based semantic code search tool that combines regex filtering with semantic ranking using ColBERT-style multi-vector embeddings. It uses Tree-sitter to parse code into structured units and ONNX Runtime for local model inference. All processing happens locally — code never leaves your machine.</description>
      <comments>https://github.com/lightonai/next-plaid</comments>
      <pubDate>Sat, 10 Oct 2026 18:48:35 GMT</pubDate>
      <source>https://github.com/lightonai/next-plaid</source>
    </item>
    <item>
      <title>orthonym 1.0.7 [noarch]</title>
      <description>A SMILES string goes in. A verified IUPAC name comes out, or a clear "no". Never a guess. Orthonym needs a Java runtime (installed with this package) and the pinned OPSIN and centres jars, which it downloads with a SHA-256 check the first time it needs them (or run `orthonym --fetch-jars`).</description>
      <link>https://steinbeck-lab.github.io/Orthonym/</link>
      <comments>https://github.com/Steinbeck-Lab/Orthonym</comments>
      <pubDate>Sat, 10 Oct 2026 18:07:32 GMT</pubDate>
      <source>https://github.com/Steinbeck-Lab/Orthonym</source>
    </item>
    <item>
      <title>backports.zstd 1.8.0 [linux-64, linux-aarch64, linux-ppc64le, noarch, osx-64, osx-arm64, win-64]</title>
      <description>Backport of compression.zstd</description>
      <pubDate>Sat, 10 Oct 2026 17:53:42 GMT</pubDate>
      <source>https://github.com/rogdham/backports.zstd</source>
    </item>
    <item>
      <title>cibuildwheel 4.3.1 [noarch]</title>
      <description>Python wheels are great. Building them across Mac, Linux, Windows, on multiple versions of Python, is not. cibuildwheel is here to help. cibuildwheel runs on your CI server - currently it supports GitHub Actions, Azure Pipelines, Travis CI, AppVeyor, CircleCI, and GitLab CI - and it builds and tests your wheels across all of your platforms.</description>
      <link>https://cibuildwheel.pypa.io/en/stable/</link>
      <guid>https://github.com/pypa/cibuildwheel/archive/refs/tags/v2.22.0.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 17:40:11 GMT</pubDate>
      <source>https://github.com/pypa/cibuildwheel</source>
    </item>
    <item>
      <title>ipsw 3.1.736 [linux-64, osx-64, win-64]</title>
      <description>ipsw is a comprehensive command-line research framework for iOS and macOS that provides an extensive toolkit for security researchers, reverse engineers, jailbreak developers, and iOS enthusiasts.  Key capabilities: - **MachO Analysis**: Parse, disassemble, and analyze Mach-O binaries (ARM64, x86_64) - **dyld_shared_cache**: Extract and analyze Apple's shared library cache - **Symbol Extraction**: Complete symbol recovery and address resolution - **ObjC/Swift Analysis**: Class dumps, method analysis, protocol parsing - **Firmware Analysis**: Download, parse, and analyze Apple firmware (IPSW) - **Device Interaction**: Communicate with iOS devices for research - **AI Integration**: AI-powered code analysis (optional, requires API keys)  This tool is particularly useful for: - Analyzing macOS ARM64 (Apple Silicon) binaries - Reverse engineering iOS/macOS applications - Security research and vulnerability discovery - Understanding Apple's binary formats and runtime  Note: non-unix builds have reduced CGO functionality (no unicorn available).</description>
      <link>https://blacktop.github.io/ipsw/docs/</link>
      <comments>https://github.com/blacktop/ipsw</comments>
      <pubDate>Sat, 10 Oct 2026 17:05:55 GMT</pubDate>
      <source>https://blacktop.github.io/ipsw/</source>
    </item>
    <item>
      <title>bt 1.4.1 [linux-64, osx-64, osx-arm64, win-64]</title>
      <description>bt - flexible backtesting for Python</description>
      <link>http://pmorissette.github.io/bt/</link>
      <comments>https://github.com/pmorissette/bt</comments>
      <guid>https://files.pythonhosted.org/packages/source/b/bt/bt-1.4.1.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 16:53:40 GMT</pubDate>
      <source>https://github.com/pmorissette/bt</source>
    </item>
    <item>
      <title>cargo-binstall 1.25.3 [linux-64, osx-64, osx-arm64, win-64]</title>
      <description>Binstall provides a low-complexity mechanism for installing Rust binaries as an alternative to building from source (via cargo install) or manually downloading packages</description>
      <comments>https://github.com/cargo-bins/cargo-binstall</comments>
      <pubDate>Sat, 10 Oct 2026 16:52:56 GMT</pubDate>
      <source>https://github.com/cargo-bins/cargo-binstall</source>
    </item>
    <item>
      <title>fluxfootprints 0.5.1 [noarch]</title>
      <description>A comprehensive Python package for micrometeorological footprint analysis</description>
      <guid>https://github.com/inkenbrandt/footprints/archive/v0.5.1.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 16:15:55 GMT</pubDate>
      <source>https://github.com/inkenbrandt/footprints</source>
    </item>
    <item>
      <title>jupyter-live-content 0.1.2 [noarch]</title>
      <description>A minimal JupyterLab extension that provides live content updates from the filesystem.</description>
      <comments>https://github.com/jupyter-ai-contrib/jupyter-live-content</comments>
      <pubDate>Sat, 10 Oct 2026 16:07:58 GMT</pubDate>
      <source>https://github.com/jupyter-ai-contrib/jupyter-live-content</source>
    </item>
    <item>
      <title>rsloop 0.1.62 [linux-64, osx-64, win-64]</title>
      <description>An event loop for asyncio written in Rust.</description>
      <comments>https://github.com/RustedBytes/rsloop</comments>
      <pubDate>Sat, 10 Oct 2026 15:57:36 GMT</pubDate>
      <source>https://rustedbytes.github.io/rsloop</source>
    </item>
    <item>
      <title>bluemath-tk 1.3 [noarch]</title>
      <description>Module collection for custom climate data analysis. The main objective of this Python package is to provide a set of statistical tools tailored for climate data analysis, with a focus on statistical classification and prediction.</description>
      <guid>https://files.pythonhosted.org/packages/source/b/bluemath-tk/bluemath_tk-1.3.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 15:04:11 GMT</pubDate>
      <source>https://github.com/GeoOcean/BlueMath_tk</source>
    </item>
    <item>
      <title>hypertools 1.1.0 [noarch]</title>
      <description>HyperTools is a Python library for visualizing and manipulating high-dimensional data. It provides a unified interface for dimensionality reduction, data alignment, clustering, and visualization, built on matplotlib, plotly, scikit-learn, and pydata-wrangler. Optional extras (the interactive plotly backend, text embeddings, extra forecasters, Lab Streaming Layer input, and more) are installed from PyPI, as a few of their dependencies are not yet available on conda-forge; the base package is fully functional without them.</description>
      <link>https://hypertools.readthedocs.io/</link>
      <comments>https://github.com/ContextLab/hypertools</comments>
      <pubDate>Sat, 10 Oct 2026 14:52:42 GMT</pubDate>
      <source>https://github.com/ContextLab/hypertools</source>
    </item>
    <item>
      <title>flang 23.1.3 [linux-64, win-64, win-arm64]</title>
      <description>Flang is a Fortran compiler targeting LLVM.</description>
      <comments>https://github.com/llvm/llvm-project</comments>
      <guid>https://github.com/llvm/llvm-project/archive/refs/tags/llvmorg-23.1.3.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 14:18:35 GMT</pubDate>
      <source>https://flang.llvm.org</source>
    </item>
    <item>
      <title>cleopatra-science-colors 0.42.0 [noarch]</title>
      <description>Cleopatra is a matplotlib utility package for visualizing 2D/3D numpy arrays, unstructured meshes, and statistical histograms. It targets scientific and research users working with geospatial and raster data.  The ``cleopatra-tiles`` output adds the optional web-tile basemap dependencies (pyproj, xyzservices) used by ``cleopatra.basemap.tiles.add_tiles``. The ``cleopatra-science-colors`` output adds ``cmap``, used to resolve namespaced scientific colormaps (cmocean:*, cmasher:*, ...).</description>
      <link>https://serapeum-org.github.io/cleopatra/latest/</link>
      <comments>https://github.com/serapeum-org/cleopatra</comments>
      <guid>https://github.com/serapeum-org/cleopatra/archive/0.42.0.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 14:07:18 GMT</pubDate>
      <source>https://github.com/serapeum-org/cleopatra</source>
    </item>
    <item>
      <title>r-seqnet 1.1.4 [linux-64, osx-64, win-64]</title>
      <description>Methods to generate random gene-gene association networks and simulate RNA-seq data from them, as described in Grimes and Datta (2021) &lt;doi:10.18637/jss.v098.i12&gt;. Includes functions to generate random networks of any size and perturb them to obtain differential networks. Network objects are built from individual, overlapping modules that represent pathways. The resulting network has various topological properties that are characteristic of gene regulatory networks. RNA-seq data can be generated such that the association among gene expression profiles reflect the underlying network. A reference RNA-seq dataset can be provided to model realistic marginal distributions. Plotting functions are available to visualize a network, compare two networks, and compare the expression of two genes across multiple networks.</description>
      <guid>['https://cloud.r-project.org/src/contrib/Archive/SeqNet/SeqNet_1.1.4.tar.gz', 'https://cloud.r-project.org/src/contrib/SeqNet_1.1.4.tar.gz']</guid>
      <pubDate>Sat, 10 Oct 2026 14:02:29 GMT</pubDate>
      <source>https://CRAN.R-project.org/package=SeqNet</source>
    </item>
    <item>
      <title>claude-agent-acp 0.89.1 [noarch]</title>
      <description>claude-agent-acp is a TypeScript CLI tool by Zed Industries that bridges the Claude Agent SDK to the Agent Client Protocol (ACP), enabling Claude to be used as an ACP-compatible agent.</description>
      <comments>https://github.com/agentclientprotocol/claude-agent-acp</comments>
      <pubDate>Sat, 10 Oct 2026 14:01:57 GMT</pubDate>
      <source>https://github.com/agentclientprotocol/claude-agent-acp</source>
    </item>
    <item>
      <title>sqlite_rsync 3.54.0 [linux-64, linux-aarch64, linux-ppc64le, linux-riscv64, osx-64, osx-arm64, win-64]</title>
      <description>SQLite is a small, fast, serverless SQL database engine. Programs that link with this library get SQL database access without running a separate RDBMS process.</description>
      <link>http://www.sqlite.org/docs.html</link>
      <comments>https://www.sqlite.org/src/dir?ci=trunk</comments>
      <guid>https://www.sqlite.org/2026/sqlite-src-3540000.zip</guid>
      <pubDate>Sat, 10 Oct 2026 13:58:19 GMT</pubDate>
      <source>http://www.sqlite.org/</source>
    </item>
    <item>
      <title>sqldiff 3.54.0 [linux-64, linux-aarch64, linux-ppc64le, linux-riscv64, osx-64, osx-arm64, win-64]</title>
      <description>SQLite is a small, fast, serverless SQL database engine. Programs that link with this library get SQL database access without running a separate RDBMS process.</description>
      <link>http://www.sqlite.org/docs.html</link>
      <comments>https://www.sqlite.org/src/dir?ci=trunk</comments>
      <guid>https://www.sqlite.org/2026/sqlite-src-3540000.zip</guid>
      <pubDate>Sat, 10 Oct 2026 13:58:15 GMT</pubDate>
      <source>http://www.sqlite.org/</source>
    </item>
    <item>
      <title>dbhash 3.54.0 [linux-64, linux-aarch64, linux-ppc64le, linux-riscv64, osx-64, osx-arm64, win-64]</title>
      <description>SQLite is a small, fast, serverless SQL database engine. Programs that link with this library get SQL database access without running a separate RDBMS process.</description>
      <link>http://www.sqlite.org/docs.html</link>
      <comments>https://www.sqlite.org/src/dir?ci=trunk</comments>
      <guid>https://www.sqlite.org/2026/sqlite-src-3540000.zip</guid>
      <pubDate>Sat, 10 Oct 2026 13:58:11 GMT</pubDate>
      <source>http://www.sqlite.org/</source>
    </item>
    <item>
      <title>tombi 1.8.0 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>Feature-Rich TOML Toolkit.</description>
      <link>https://tombi-toml.github.io/tombi/docs</link>
      <comments>https://github.com/tombi-toml/tombi</comments>
      <pubDate>Sat, 10 Oct 2026 13:29:34 GMT</pubDate>
      <source>https://tombi-toml.github.io/tombi</source>
    </item>
    <item>
      <title>factur-x 7.5 [noarch]</title>
      <description>Factur-X and Order-X: electronic invoicing and ordering standards</description>
      <guid>https://pypi.org/packages/source/f/factur-x/factur_x-3.16.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 13:19:41 GMT</pubDate>
      <source>https://github.com/akretion/factur-x</source>
    </item>
    <item>
      <title>archinfo 9.3.1 [noarch]</title>
      <description>Classes with architecture-specific information useful to other projects.</description>
      <guid>https://pypi.org/packages/source/a/archinfo/archinfo-9.3.1.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 12:37:28 GMT</pubDate>
      <source>https://github.com/angr/archinfo</source>
    </item>
    <item>
      <title>r-ggtangle 0.1.4 [noarch]</title>
      <description>Extends the 'ggplot2' plotting system to support network visualization. Inspired by the 'Method 1' in 'ggtree' (G Yu (2018) &lt;doi:10.1093/molbev/msy194&gt;), 'ggtangle' is designed to work with network associated data.</description>
      <guid>['https://cloud.r-project.org/src/contrib/Archive/ggtangle/ggtangle_0.1.4.tar.gz', 'https://cloud.r-project.org/src/contrib/ggtangle_0.1.4.tar.gz']</guid>
      <pubDate>Sat, 10 Oct 2026 12:34:43 GMT</pubDate>
      <source>https://CRAN.R-project.org/package=ggtangle</source>
    </item>
    <item>
      <title>zsh 5.9.2 [linux-64, linux-aarch64, linux-ppc64le, linux-riscv64, osx-64, osx-arm64]</title>
      <description>Zsh is a shell designed for interactive use, although it is also a powerful scripting language.</description>
      <link>https://zsh.sourceforge.io/Doc/Release/zsh_toc.html</link>
      <comments>https://sourceforge.net/p/zsh/code/ci/master/tree</comments>
      <guid>https://cfhcable.dl.sourceforge.net/project/zsh/zsh/5.9/zsh-5.9.tar.xz</guid>
      <pubDate>Sat, 10 Oct 2026 12:21:47 GMT</pubDate>
      <source>https://zsh.org/</source>
    </item>
    <item>
      <title>uv-build 0.13.0 [linux-64, linux-aarch64, linux-ppc64le, linux-riscv64, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>The uv build backend</description>
      <link>https://docs.astral.sh/uv/concepts/build-backend</link>
      <comments>https://github.com/astral-sh/uv</comments>
      <guid>https://pypi.org/packages/source/u/uv_build/uv_build-0.9.13.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 11:41:33 GMT</pubDate>
      <source>https://pypi.org/project/uv-build</source>
    </item>
    <item>
      <title>python-discovery 1.6.2 [noarch]</title>
      <description>Python interpreter discovery</description>
      <link>https://python-discovery.readthedocs.io/</link>
      <comments>https://github.com/tox-dev/python-discovery</comments>
      <pubDate>Sat, 10 Oct 2026 11:32:41 GMT</pubDate>
      <source>https://github.com/tox-dev/python-discovery</source>
    </item>
    <item>
      <title>gopass 1.17.4 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>The slightly more awesome standard unix password manager for teams.</description>
      <comments>https://github.com/gopasspw/gopass</comments>
      <guid>https://github.com/gopasspw/gopass/archive/refs/tags/v1.16.1.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 11:04:11 GMT</pubDate>
      <source>https://www.gopass.pw/</source>
    </item>
    <item>
      <title>pysbf2 1.0.6 [noarch]</title>
      <description>Python library for parsing and generating Septentrio SBF GNSS protocol messages.</description>
      <link>https://www.semuconsulting.com/pysbf2</link>
      <comments>https://github.com/semuconsulting/pysbf2</comments>
      <guid>https://pypi.org/packages/source/p/pysbf2/pysbf2-1.0.6.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 10:59:47 GMT</pubDate>
      <source>https://github.com/semuconsulting/pysbf2</source>
    </item>
    <item>
      <title>specta 0.5.3 [noarch]</title>
      <description>Dashboarding tool for JupyterLite</description>
      <guid>https://files.pythonhosted.org/packages/source/s/specta/specta-0.5.3.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 10:37:32 GMT</pubDate>
      <source>https://github.com/trungleduc/specta</source>
    </item>
    <item>
      <title>mbirtorch 0.1.2 [noarch]</title>
      <description>MBIRTorch performs Model-Based Iterative Reconstruction (MBIR) for tomographic reconstruction using PyTorch.  Features include:  * Multiple geometries: parallel beam, cone beam (including curved   detector and helical), translation mode, and multi-axis parallel. * 4D reconstruction: a time sequence of volumes from a single   continuous scan, using multi-agent consensus equilibrium (MACE). * Preprocessing routines for NSI and Zeiss scanners, plus geometry   calibration. * Utilities for metal artifact reduction and stripe removal. * Interactive slice and geometry viewers. * Demos and documentation. * Operation on one or more GPUs, Mac MPS, or CPU. * Compiled torch and Triton kernels for efficiency.</description>
      <link>https://mbirtorch.readthedocs.io/</link>
      <comments>https://github.com/cabouman/mbirtorch</comments>
      <pubDate>Sat, 10 Oct 2026 10:32:31 GMT</pubDate>
      <source>https://github.com/cabouman/mbirtorch</source>
    </item>
    <item>
      <title>ty 0.0.86 [linux-64, linux-aarch64, linux-ppc64le, linux-riscv64, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>An extremely fast Python type checker and language server, written in Rust.</description>
      <link>https://docs.astral.sh/ty</link>
      <comments>https://github.com/astral-sh/ty</comments>
      <pubDate>Sat, 10 Oct 2026 10:05:30 GMT</pubDate>
      <source>https://github.com/astral-sh/ty</source>
    </item>
    <item>
      <title>libxmp 4.7.4 [linux-64, linux-aarch64, linux-ppc64le, osx-64, osx-arm64, win-64]</title>
      <description>Libxmp is a library that renders module files to PCM data.</description>
      <comments>https://github.com/libxmp/libxmp</comments>
      <pubDate>Sat, 10 Oct 2026 09:22:20 GMT</pubDate>
      <source>https://github.com/libxmp/libxmp</source>
    </item>
    <item>
      <title>redisvl 0.28.0 [noarch]</title>
      <description>Python client library and CLI for using Redis as a vector database</description>
      <link>https://docs.redisvl.com/</link>
      <pubDate>Sat, 10 Oct 2026 09:16:13 GMT</pubDate>
      <source>https://github.com/redis/redis-vl-python</source>
    </item>
    <item>
      <title>bayesmbar 0.1.6 [noarch]</title>
      <description>This repository contains the code for the Bayesian Multistate Bennett Acceptance Ratio Method as described in the paper. BayesMBAR is a Bayesion generalization of the Multistate Bennett Acceptance Ratio (MBAR) method for computing free energy differences between multiple states.</description>
      <link>https://dinglab.io/BayesMBAR/</link>
      <comments>https://github.com/DingGroup/BayesMBAR</comments>
      <guid>https://files.pythonhosted.org/packages/source/b/bayesmbar/bayesmbar-0.1.6.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 08:48:06 GMT</pubDate>
      <source>https://github.com/DingGroup/BayesMBAR</source>
    </item>
    <item>
      <title>watch-duck 1.2.0 [noarch]</title>
      <description>Python toolbox to track progress of ecflow experiments</description>
      <comments>https://github.com/aFarchi/watch-duck</comments>
      <guid>https://files.pythonhosted.org/packages/source/w/watch-duck/watch_duck-1.2.0.tar.gz</guid>
      <pubDate>Sat, 10 Oct 2026 08:27:28 GMT</pubDate>
      <source>https://pypi.org/project/watch-duck/</source>
    </item>
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