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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>Mon, 09 Mar 2026 17:31:39 GMT</pubDate>
    <lastBuildDate>Mon, 09 Mar 2026 17:31:39 GMT</lastBuildDate>
    <item>
      <title>pycantonese 4.0.0 [linux-64, osx-64, win-64]</title>
      <description>Cantonese Linguistics and NLP in Python</description>
      <pubDate>Mon, 09 Mar 2026 17:02:24 GMT</pubDate>
      <source>https://pycantonese.org/</source>
    </item>
    <item>
      <title>duckdb 1.5.0 [linux-64, noarch]</title>
      <description>DuckDB is an embedded database designed to execute analytical SQL queries fast while embedded in another process. It is designed to be easy to install and easy to use.</description>
      <link>https://duckdb.org/docs/index.html</link>
      <comments>https://github.com/duckdb/duckdb</comments>
      <guid>https://pypi.org/packages/source/d/duckdb/duckdb-1.5.0.tar.gz</guid>
      <pubDate>Mon, 09 Mar 2026 16:57:35 GMT</pubDate>
      <source>https://www.duckdb.org/</source>
    </item>
    <item>
      <title>pylangacq 0.20.0 [noarch]</title>
      <description>Language Acquisition Research in Python</description>
      <link>https://pylangacq.org/</link>
      <comments>https://github.com/jacksonllee/pylangacq</comments>
      <pubDate>Mon, 09 Mar 2026 16:56:42 GMT</pubDate>
      <source>https://pylangacq.org/</source>
    </item>
    <item>
      <title>aws-cdk.cloud-assembly-schema 53.2.0 [noarch]</title>
      <description>Cloud Assembly Schema</description>
      <comments>https://github.com/aws/aws-cdk.git</comments>
      <guid>https://pypi.org/packages/source/a/aws-cdk.cloud-assembly-schema/aws_cdk_cloud_assembly_schema-53.2.0.tar.gz</guid>
      <pubDate>Mon, 09 Mar 2026 16:47:32 GMT</pubDate>
      <source>https://github.com/aws/aws-cdk</source>
    </item>
    <item>
      <title>r-lasr 0.18.1 [linux-64, osx-64]</title>
      <description>Fast and pipeable airborne lidar processing tools. Read/write 'las' and 'laz' files, computation of metrics in area based approach, point filtering, normalization, individual tree segmentation and other manipulations in a powerful and versatile processing chain.</description>
      <guid>https://r-lidar.r-universe.dev/src/contrib/lasR_0.18.1.tar.gz</guid>
      <pubDate>Mon, 09 Mar 2026 16:44:00 GMT</pubDate>
      <source>https://github.com/r-lidar/lasR</source>
    </item>
    <item>
      <title>rendercanvas 2.6.2 [noarch]</title>
      <description>See how the two windows above look the same? That's the idea; they also look the same to the code that renders to them. Yet, the GUI systems are very different (Qt vs glfw in this case). Now that's a powerful abstraction!  * Provide a generic canvas API to render to. * Provide an event loop for scheduling events and draws. * Provide a simple but powerful event system with standardized event objects. * Provide various canvas implementations:     * One that is light and easily installed (glfw).     * For various GUI libraries (e.g. qt and wx), so visuzalizations can be embedded in a GUI.     * For specific platforms (e.g. Jupyter, browser).  The main use-case is rendering with wgpu, but rendercanvascan be used by anything that can render based on a window-id or by producing bitmap images.</description>
      <guid>https://pypi.org/packages/source/r/rendercanvas/rendercanvas-2.6.2.tar.gz</guid>
      <pubDate>Mon, 09 Mar 2026 16:41:54 GMT</pubDate>
      <source>https://github.com/pygfx/rendercanvas/</source>
    </item>
    <item>
      <title>scriptrunner-gui 1.0.1 [noarch]</title>
      <description>GUI software for rendering arguments of CLI Python scripts and scheduling runs</description>
      <guid>https://pypi.org/packages/source/s/scriptrunner-gui/scriptrunner_gui-1.0.1.tar.gz</guid>
      <pubDate>Mon, 09 Mar 2026 16:36:40 GMT</pubDate>
      <source>https://github.com/algotom/scriptrunner</source>
    </item>
    <item>
      <title>copybara 20260309 [linux-64, osx-64, osx-arm64]</title>
      <description>Copybara is a tool used internally at Google to transform and move code between repositories. It is often used to maintain mirrored repositories between internal Google repositories and public GitHub repositories.</description>
      <pubDate>Mon, 09 Mar 2026 16:19:45 GMT</pubDate>
      <source>https://github.com/google/copybara</source>
    </item>
    <item>
      <title>fastgit 0.0.4 [noarch]</title>
      <description>Use git from python, fast</description>
      <pubDate>Mon, 09 Mar 2026 15:59:15 GMT</pubDate>
      <source>https://github.com/AnswerDotAI/fastgit</source>
    </item>
    <item>
      <title>tryton 7.8.4 [noarch]</title>
      <description>Tryton is business software, ideal for companies of any size, easy to use, complete and 100% Open Source.</description>
      <comments>https://github.com/tryton/tryton</comments>
      <pubDate>Mon, 09 Mar 2026 15:59:15 GMT</pubDate>
      <source>https://www.tryton.org/</source>
    </item>
    <item>
      <title>prek 0.3.5 [linux-64, linux-aarch64, linux-ppc64le, osx-64, osx-arm64, win-64]</title>
      <description>Better `pre-commit`, re-engineered in Rust</description>
      <comments>https://github.com/j178/prek</comments>
      <pubDate>Mon, 09 Mar 2026 15:47:07 GMT</pubDate>
      <source>https://prek.j178.dev/</source>
    </item>
    <item>
      <title>rustling 0.6.0 [linux-64, osx-64, win-64]</title>
      <description>Blazingly fast library for computational linguistics</description>
      <link>https://rustling.readthedocs.io/</link>
      <pubDate>Mon, 09 Mar 2026 15:45:52 GMT</pubDate>
      <source>https://github.com/jacksonllee/rustling</source>
    </item>
    <item>
      <title>cdk8s 2.70.51 [noarch]</title>
      <description>This is the core library of Cloud Development Kit (CDK) for Kubernetes (cdk8s). cdk8s apps synthesize into standard Kubernetes manifests which can be applied to any Kubernetes cluster.</description>
      <comments>https://github.com/cdk8s-team/cdk8s-core.git</comments>
      <pubDate>Mon, 09 Mar 2026 15:08:44 GMT</pubDate>
      <source>https://github.com/cdk8s-team/cdk8s-core.git</source>
    </item>
    <item>
      <title>rust-std-x86_64-linux-android 1.94.0 [noarch]</title>
      <description>Rust is a systems programming language that runs blazingly fast, prevents segfaults, and guarantees thread safety. This package provides the compiler (rustc) and the documentation utilities rustdoc.</description>
      <link>https://www.rust-lang.org/en-US/documentation.html</link>
      <comments>https://doc.rust-lang.org/std/</comments>
      <pubDate>Mon, 09 Mar 2026 14:59:17 GMT</pubDate>
      <source>https://www.rust-lang.org</source>
    </item>
    <item>
      <title>rust-std-x86_64-apple-ios 1.94.0 [noarch]</title>
      <description>Rust is a systems programming language that runs blazingly fast, prevents segfaults, and guarantees thread safety. This package provides the compiler (rustc) and the documentation utilities rustdoc.</description>
      <link>https://www.rust-lang.org/en-US/documentation.html</link>
      <comments>https://doc.rust-lang.org/std/</comments>
      <pubDate>Mon, 09 Mar 2026 14:57:43 GMT</pubDate>
      <source>https://www.rust-lang.org</source>
    </item>
    <item>
      <title>rust-std-wasm32-unknown-unknown 1.94.0 [noarch]</title>
      <description>Rust is a systems programming language that runs blazingly fast, prevents segfaults, and guarantees thread safety. This package provides the compiler (rustc) and the documentation utilities rustdoc.</description>
      <link>https://www.rust-lang.org/en-US/documentation.html</link>
      <comments>https://doc.rust-lang.org/std/</comments>
      <pubDate>Mon, 09 Mar 2026 14:56:19 GMT</pubDate>
      <source>https://www.rust-lang.org</source>
    </item>
    <item>
      <title>rust-std-wasm32-unknown-emscripten 1.94.0 [noarch]</title>
      <description>Rust is a systems programming language that runs blazingly fast, prevents segfaults, and guarantees thread safety. This package provides the compiler (rustc) and the documentation utilities rustdoc.</description>
      <link>https://www.rust-lang.org/en-US/documentation.html</link>
      <comments>https://doc.rust-lang.org/std/</comments>
      <pubDate>Mon, 09 Mar 2026 14:54:53 GMT</pubDate>
      <source>https://www.rust-lang.org</source>
    </item>
    <item>
      <title>rust-std-i686-linux-android 1.94.0 [noarch]</title>
      <description>Rust is a systems programming language that runs blazingly fast, prevents segfaults, and guarantees thread safety. This package provides the compiler (rustc) and the documentation utilities rustdoc.</description>
      <link>https://www.rust-lang.org/en-US/documentation.html</link>
      <comments>https://doc.rust-lang.org/std/</comments>
      <pubDate>Mon, 09 Mar 2026 14:53:24 GMT</pubDate>
      <source>https://www.rust-lang.org</source>
    </item>
    <item>
      <title>rust-std-armv7-linux-androideabi 1.94.0 [noarch]</title>
      <description>Rust is a systems programming language that runs blazingly fast, prevents segfaults, and guarantees thread safety. This package provides the compiler (rustc) and the documentation utilities rustdoc.</description>
      <link>https://www.rust-lang.org/en-US/documentation.html</link>
      <comments>https://doc.rust-lang.org/std/</comments>
      <pubDate>Mon, 09 Mar 2026 14:51:58 GMT</pubDate>
      <source>https://www.rust-lang.org</source>
    </item>
    <item>
      <title>rust-std-arm-linux-androideabi 1.94.0 [noarch]</title>
      <description>Rust is a systems programming language that runs blazingly fast, prevents segfaults, and guarantees thread safety. This package provides the compiler (rustc) and the documentation utilities rustdoc.</description>
      <link>https://www.rust-lang.org/en-US/documentation.html</link>
      <comments>https://doc.rust-lang.org/std/</comments>
      <pubDate>Mon, 09 Mar 2026 14:50:33 GMT</pubDate>
      <source>https://www.rust-lang.org</source>
    </item>
    <item>
      <title>rust-std-aarch64-linux-android 1.94.0 [noarch]</title>
      <description>Rust is a systems programming language that runs blazingly fast, prevents segfaults, and guarantees thread safety. This package provides the compiler (rustc) and the documentation utilities rustdoc.</description>
      <link>https://www.rust-lang.org/en-US/documentation.html</link>
      <comments>https://doc.rust-lang.org/std/</comments>
      <pubDate>Mon, 09 Mar 2026 14:49:00 GMT</pubDate>
      <source>https://www.rust-lang.org</source>
    </item>
    <item>
      <title>ansys-api-mechanical 0.1.4 [noarch]</title>
      <description>Autogenerated python gRPC interface package for ansys-api-mechanical, built on 14:21:07 on 30 April 2024</description>
      <guid>https://pypi.org/packages/source/a/ansys-api-mechanical/ansys_api_mechanical-0.1.4.tar.gz</guid>
      <pubDate>Mon, 09 Mar 2026 14:48:50 GMT</pubDate>
      <source>https://github.com/ansys/ansys-api-mechanical</source>
    </item>
    <item>
      <title>rust-std-aarch64-apple-ios-sim 1.94.0 [noarch]</title>
      <description>Rust is a systems programming language that runs blazingly fast, prevents segfaults, and guarantees thread safety. This package provides the compiler (rustc) and the documentation utilities rustdoc.</description>
      <link>https://www.rust-lang.org/en-US/documentation.html</link>
      <comments>https://doc.rust-lang.org/std/</comments>
      <pubDate>Mon, 09 Mar 2026 14:47:18 GMT</pubDate>
      <source>https://www.rust-lang.org</source>
    </item>
    <item>
      <title>rust-std-aarch64-apple-ios 1.94.0 [noarch]</title>
      <description>Rust is a systems programming language that runs blazingly fast, prevents segfaults, and guarantees thread safety. This package provides the compiler (rustc) and the documentation utilities rustdoc.</description>
      <link>https://www.rust-lang.org/en-US/documentation.html</link>
      <comments>https://doc.rust-lang.org/std/</comments>
      <pubDate>Mon, 09 Mar 2026 14:45:54 GMT</pubDate>
      <source>https://www.rust-lang.org</source>
    </item>
    <item>
      <title>rust-src 1.94.0 [noarch]</title>
      <description>Rust is a systems programming language that runs blazingly fast, prevents segfaults, and guarantees thread safety. This package provides the compiler (rustc) and the documentation utilities rustdoc.</description>
      <link>https://www.rust-lang.org/en-US/documentation.html</link>
      <comments>https://doc.rust-lang.org/std/</comments>
      <pubDate>Mon, 09 Mar 2026 14:44:15 GMT</pubDate>
      <source>https://www.rust-lang.org</source>
    </item>
    <item>
      <title>rust 1.94.0 [linux-64, linux-aarch64, linux-ppc64le, osx-64, osx-arm64, win-32, win-64, win-arm64]</title>
      <description>Rust is a systems programming language that runs blazingly fast, prevents segfaults, and guarantees thread safety. This package provides the compiler (rustc) and the documentation utilities rustdoc.</description>
      <link>https://www.rust-lang.org/en-US/documentation.html</link>
      <comments>https://doc.rust-lang.org/std/</comments>
      <guid>https://static.rust-lang.org/dist/rust-1.67.0-x86_64-unknown-linux-gnu.tar.gz</guid>
      <pubDate>Mon, 09 Mar 2026 14:30:57 GMT</pubDate>
      <source>https://www.rust-lang.org</source>
    </item>
    <item>
      <title>rust-std-aarch64-pc-windows-msvc 1.94.0 [noarch]</title>
      <description>Rust is a systems programming language that runs blazingly fast, prevents segfaults, and guarantees thread safety. This package provides the compiler (rustc) and the documentation utilities rustdoc.</description>
      <link>https://www.rust-lang.org/en-US/documentation.html</link>
      <comments>https://doc.rust-lang.org/std/</comments>
      <pubDate>Mon, 09 Mar 2026 14:28:27 GMT</pubDate>
      <source>https://www.rust-lang.org</source>
    </item>
    <item>
      <title>rust-docs 1.94.0 [noarch]</title>
      <description>Rust is a systems programming language that runs blazingly fast, prevents segfaults, and guarantees thread safety. This package provides the compiler (rustc) and the documentation utilities rustdoc.</description>
      <link>https://www.rust-lang.org/en-US/documentation.html</link>
      <comments>https://doc.rust-lang.org/std/</comments>
      <pubDate>Mon, 09 Mar 2026 14:28:12 GMT</pubDate>
      <source>https://www.rust-lang.org</source>
    </item>
    <item>
      <title>coacd 1.0.7 [noarch]</title>
      <description>Approximate Convex Decomposition for 3D Meshes with Collision-Aware Concavity and Tree Search</description>
      <comments>https://github.com/SarahWeiii/CoACD</comments>
      <pubDate>Mon, 09 Mar 2026 14:10:35 GMT</pubDate>
      <source>https://colin97.github.io/CoACD</source>
    </item>
    <item>
      <title>_pypdf-with-full-tests 6.8.0 [noarch]</title>
      <description>A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files</description>
      <link>https://pypdf.readthedocs.io/</link>
      <comments>https://github.com/py-pdf/pypdf</comments>
      <pubDate>Mon, 09 Mar 2026 14:09:25 GMT</pubDate>
      <source>https://pypi.org/project/pypdf</source>
    </item>
    <item>
      <title>pypdf-with-crypto 6.8.0 [noarch]</title>
      <description>A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files</description>
      <link>https://pypdf.readthedocs.io/</link>
      <comments>https://github.com/py-pdf/pypdf</comments>
      <pubDate>Mon, 09 Mar 2026 14:09:25 GMT</pubDate>
      <source>https://pypi.org/project/pypdf</source>
    </item>
    <item>
      <title>pypdf-with-full 6.8.0 [noarch]</title>
      <description>A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files</description>
      <link>https://pypdf.readthedocs.io/</link>
      <comments>https://github.com/py-pdf/pypdf</comments>
      <pubDate>Mon, 09 Mar 2026 14:09:25 GMT</pubDate>
      <source>https://pypi.org/project/pypdf</source>
    </item>
    <item>
      <title>pypdf-with-image 6.8.0 [noarch]</title>
      <description>A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files</description>
      <link>https://pypdf.readthedocs.io/</link>
      <comments>https://github.com/py-pdf/pypdf</comments>
      <pubDate>Mon, 09 Mar 2026 14:09:25 GMT</pubDate>
      <source>https://pypi.org/project/pypdf</source>
    </item>
    <item>
      <title>libcoacd 1.0.7 [linux-64, osx-64, win-64]</title>
      <description>Approximate Convex Decomposition for 3D Meshes with Collision-Aware Concavity and Tree Search</description>
      <comments>https://github.com/SarahWeiii/CoACD</comments>
      <pubDate>Mon, 09 Mar 2026 14:09:19 GMT</pubDate>
      <source>https://colin97.github.io/CoACD</source>
    </item>
    <item>
      <title>smmregrid 0.1.5 [noarch]</title>
      <description>Regridding based on sparse matrix multiplication</description>
      <guid>https://pypi.org/packages/source/s/smmregrid/smmregrid-0.1.5.tar.gz</guid>
      <pubDate>Mon, 09 Mar 2026 13:43:26 GMT</pubDate>
      <source>https://github.com/jhardenberg/smmregrid</source>
    </item>
    <item>
      <title>album-solution-api 0.7.1 [noarch]</title>
      <description>Album is a framework for unifying computational tools across frameworks, languages, and environments.</description>
      <link>https://docs.album.solutions</link>
      <comments>https://gitlab.com/album-app/album-solution-api</comments>
      <guid>https://pypi.org/packages/source/a/album-solution-api/album_solution_api-0.7.1.tar.gz</guid>
      <pubDate>Mon, 09 Mar 2026 13:27:17 GMT</pubDate>
      <source>https://album.solutions</source>
    </item>
    <item>
      <title>databricks-sdk 0.97.0 [noarch]</title>
      <description>Databricks SDK for Python (Experimental)</description>
      <guid>https://pypi.org/packages/source/d/databricks-sdk/databricks_sdk-0.97.0.tar.gz</guid>
      <pubDate>Mon, 09 Mar 2026 13:10:21 GMT</pubDate>
      <source>https://github.com/databricks/databricks-sdk-py</source>
    </item>
    <item>
      <title>julearn 0.3.5 [noarch]</title>
      <description>Juelich Machine Learning Library</description>
      <link>https://juaml.github.io/julearn/main/index.html</link>
      <comments>https://github.com/juaml/julearn</comments>
      <guid>https://pypi.org/packages/source/j/julearn/julearn-0.3.5.tar.gz</guid>
      <pubDate>Mon, 09 Mar 2026 12:46:39 GMT</pubDate>
      <source>https://github.com/juaml/julearn</source>
    </item>
    <item>
      <title>pycontrails 0.60.3 [linux-64, osx-64, osx-arm64, win-64]</title>
      <description>Python library for modeling aviation climate impacts</description>
      <link>https://py.contrails.org</link>
      <comments>https://github.com/contrailcirrus/pycontrails</comments>
      <guid>https://pypi.org/packages/source/p/pycontrails/pycontrails-0.60.3.tar.gz</guid>
      <pubDate>Mon, 09 Mar 2026 12:27:05 GMT</pubDate>
      <source>https://py.contrails.org</source>
    </item>
    <item>
      <title>easyreflectometry 1.5.0 [noarch]</title>
      <description>A reflectometry python package built on the EasyScience framework.</description>
      <comments>https://github.com/easyscience/EasyReflectometryLib</comments>
      <pubDate>Mon, 09 Mar 2026 12:23:05 GMT</pubDate>
      <source>https://docs.easyreflectometry.org/</source>
    </item>
    <item>
      <title>gaphas 5.1.2 [noarch]</title>
      <description>Gaphas is a GTK diagramming widget</description>
      <link>https://gaphas.readthedocs.io/</link>
      <comments>https://github.com/gaphor/gaphas</comments>
      <pubDate>Mon, 09 Mar 2026 12:04:12 GMT</pubDate>
      <source>https://github.com/gaphor/gaphas</source>
    </item>
    <item>
      <title>pysbf2 1.0.4 [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/pysbf2-1.0.4.tar.gz</guid>
      <pubDate>Mon, 09 Mar 2026 11:46:39 GMT</pubDate>
      <source>https://github.com/semuconsulting/pysbf2</source>
    </item>
    <item>
      <title>paretobench 0.6.0 [noarch]</title>
      <description>A collection of multiobjective optimization test problems.</description>
      <guid>https://pypi.org/packages/source/p/paretobench/paretobench-0.6.0.tar.gz</guid>
      <pubDate>Mon, 09 Mar 2026 11:35:07 GMT</pubDate>
      <source>https://github.com/electronsandstuff/ParetoBench</source>
    </item>
    <item>
      <title>essreduce 26.3.1 [noarch]</title>
      <description>Common data reduction tools for the ESS facility</description>
      <comments>https://github.com/scipp/essreduce</comments>
      <pubDate>Mon, 09 Mar 2026 11:24:50 GMT</pubDate>
      <source>https://scipp.github.io/essreduce/</source>
    </item>
    <item>
      <title>tilupy 2.1.0 [noarch]</title>
      <description>Thin-layer models unified processing tool</description>
      <guid>https://pypi.org/packages/source/t/tilupy/tilupy-2.1.0.tar.gz</guid>
      <pubDate>Mon, 09 Mar 2026 10:15:11 GMT</pubDate>
      <source>https://github.com/marcperuz/tilupy</source>
    </item>
    <item>
      <title>gdu 5.34.0 [linux-64, linux-aarch64, linux-ppc64le, osx-64, osx-arm64, win-64]</title>
      <description>Disk usage analyzer with console interface written in Go</description>
      <comments>https://github.com/dundee/gdu</comments>
      <guid>https://github.com/dundee/gdu/archive/v5.32.0.tar.gz</guid>
      <pubDate>Mon, 09 Mar 2026 10:04:15 GMT</pubDate>
      <source>https://github.com/dundee/gdu</source>
    </item>
    <item>
      <title>py-oidc-auth-client 2603.0.1 [noarch]</title>
      <description>py-oidc-auth-client is the counterpart of the server-side library **py-oidc-auth**.  While **py-oidc-auth** helps you add OpenID Connect login, token, and device endpoints to web frameworks, **py-oidc-auth-client** consumes those routes and gives you ready-to-use bearer tokens for calling protected APIs.</description>
      <link>https://py-oidc-auth-client.readthedocs.io/</link>
      <pubDate>Mon, 09 Mar 2026 09:58:55 GMT</pubDate>
      <source>https://github.com/freva-org/py-oidc-auth-client</source>
    </item>
    <item>
      <title>bmad 20260309.0 [linux-64, osx-64, osx-arm64]</title>
      <description>Bmad has been developed at Cornell University's Laboratory for Elementary Particle Physics and has been in use since the mid 1990s. Bmad has a wide range of routines to do many things. Bmad can be used to study both single and multi-particle beam dynamics. It has routines to track both particles and macroparticles. Bmad has various tracking algorithms including Runge-Kutta and symplectic (Lie algebraic) integration. Wakefields, and radiation excitation and damping can be simulated. Bmad has routines for calculating transfer matrices, emittances, Twiss parameters, dispersion, coupling, etc.</description>
      <link>https://www.classe.cornell.edu/bmad/manual.html</link>
      <guid>https://github.com/bmad-sim/bmad-ecosystem/releases/download/20260309-0/bmad_dist.tar.gz</guid>
      <pubDate>Mon, 09 Mar 2026 09:54:51 GMT</pubDate>
      <source>https://www.classe.cornell.edu/bmad</source>
    </item>
    <item>
      <title>python-metatensor-core 0.1.20 [linux-64, linux-aarch64, linux-ppc64le, noarch, osx-64, osx-arm64, win-64]</title>
      <description>Python bindings for metatensor-core</description>
      <link>docs.metatensor.org</link>
      <guid>https://pypi.org/packages/source/m/metatensor-core/metatensor_core-0.1.20.tar.gz</guid>
      <pubDate>Mon, 09 Mar 2026 09:46:02 GMT</pubDate>
      <source>https://github.com/metatensor/metatensor</source>
    </item>
    <item>
      <title>py-oidc-auth 2603.0.1 [noarch]</title>
      <description>A small, typed OpenID Connect helper for authentication and authorization.</description>
      <pubDate>Mon, 09 Mar 2026 09:40:41 GMT</pubDate>
      <source>https://github.com/freva-org/py-oidc-auth</source>
    </item>
    <item>
      <title>py-oidc-auth-django 2603.0.1 [noarch]</title>
      <description>A small, typed OpenID Connect helper for authentication and authorization.</description>
      <pubDate>Mon, 09 Mar 2026 09:40:41 GMT</pubDate>
      <source>https://github.com/freva-org/py-oidc-auth</source>
    </item>
    <item>
      <title>py-oidc-auth-fastapi 2603.0.1 [noarch]</title>
      <description>A small, typed OpenID Connect helper for authentication and authorization.</description>
      <pubDate>Mon, 09 Mar 2026 09:40:41 GMT</pubDate>
      <source>https://github.com/freva-org/py-oidc-auth</source>
    </item>
    <item>
      <title>py-oidc-auth-flask 2603.0.1 [noarch]</title>
      <description>A small, typed OpenID Connect helper for authentication and authorization.</description>
      <pubDate>Mon, 09 Mar 2026 09:40:41 GMT</pubDate>
      <source>https://github.com/freva-org/py-oidc-auth</source>
    </item>
    <item>
      <title>py-oidc-auth-litestar 2603.0.1 [noarch]</title>
      <description>A small, typed OpenID Connect helper for authentication and authorization.</description>
      <pubDate>Mon, 09 Mar 2026 09:40:41 GMT</pubDate>
      <source>https://github.com/freva-org/py-oidc-auth</source>
    </item>
    <item>
      <title>py-oidc-auth-quart 2603.0.1 [noarch]</title>
      <description>A small, typed OpenID Connect helper for authentication and authorization.</description>
      <pubDate>Mon, 09 Mar 2026 09:40:41 GMT</pubDate>
      <source>https://github.com/freva-org/py-oidc-auth</source>
    </item>
    <item>
      <title>py-oidc-auth-tornado 2603.0.1 [noarch]</title>
      <description>A small, typed OpenID Connect helper for authentication and authorization.</description>
      <pubDate>Mon, 09 Mar 2026 09:40:41 GMT</pubDate>
      <source>https://github.com/freva-org/py-oidc-auth</source>
    </item>
    <item>
      <title>rdkit-postgresql 2025.09.6 [linux-64, osx-64, osx-arm64, win-64]</title>
      <description>RDKit PostgreSQL cartridge</description>
      <guid>https://github.com/rdkit/rdkit/archive/Release_2025_09_6.tar.gz</guid>
      <pubDate>Mon, 09 Mar 2026 09:33:31 GMT</pubDate>
    </item>
    <item>
      <title>librdkit-dev 2025.09.6 [linux-64, linux-aarch64, linux-ppc64le, osx-64, osx-arm64, win-64]</title>
      <description>RDKit headers and library used in librdkit</description>
      <guid>https://github.com/rdkit/rdkit/archive/Release_2025_09_6.tar.gz</guid>
      <pubDate>Mon, 09 Mar 2026 09:26:57 GMT</pubDate>
    </item>
    <item>
      <title>arcosparse 0.5.1 [noarch]</title>
      <description>Helper to download and subset sparse data that has been Arcoified and are available through STAC and sqlite formated data</description>
      <guid>https://pypi.org/packages/source/a/arcosparse/arcosparse-0.5.1.tar.gz</guid>
      <pubDate>Mon, 09 Mar 2026 09:26:00 GMT</pubDate>
      <source>https://pypi.org/project/arcosparse/</source>
    </item>
    <item>
      <title>librdkit 2025.09.6 [linux-64, linux-aarch64, linux-ppc64le, osx-64, osx-arm64, win-64]</title>
      <description>RDKit C++ library</description>
      <guid>https://github.com/rdkit/rdkit/archive/Release_2025_09_6.tar.gz</guid>
      <pubDate>Mon, 09 Mar 2026 09:26:00 GMT</pubDate>
    </item>
    <item>
      <title>ansys-api-discovery 1.0.31 [noarch]</title>
      <description>Autogenerated python gRPC interface package for ansys-api-discovery, built on 12:58:09 on 24 November 2025</description>
      <comments>https://github.com/ansys/ansys-api-discovery/</comments>
      <guid>https://pypi.org/packages/source/a/ansys-api-discovery/ansys_api_discovery-1.0.31.tar.gz</guid>
      <pubDate>Mon, 09 Mar 2026 09:10:49 GMT</pubDate>
      <source>https://github.com/ansys/ansys-api-discovery</source>
    </item>
    <item>
      <title>gwtc_analysis 0.3.3 [linux-64, osx-64]</title>
      <description>GWTC analysis utilities</description>
      <comments>https://github.com/danielsentenac/gwtc_analysis</comments>
      <guid>https://pypi.org/packages/source/g/gwtc-analysis/gwtc_analysis-0.3.3.tar.gz</guid>
      <pubDate>Mon, 09 Mar 2026 08:41:58 GMT</pubDate>
      <source>https://pypi.org/project/gwtc-analysis/</source>
    </item>
    <item>
      <title>tmuxp 1.67.0 [noarch]</title>
      <description>Session manager for tmux, which allows users to save and load tmux sessions through simple configuration files. Powered by libtmux.</description>
      <link>https://tmuxp.git-pull.com/</link>
      <comments>https://github.com/tmux-python/tmuxp</comments>
      <guid>https://pypi.org/packages/source/t/tmuxp/tmuxp-1.67.0.tar.gz</guid>
      <pubDate>Mon, 09 Mar 2026 08:41:12 GMT</pubDate>
      <source>https://tmuxp.git-pull.com/</source>
    </item>
    <item>
      <title>r-noncompart 0.7.1 [noarch]</title>
      <description>Conduct a noncompartmental analysis with industrial strength. Some features are 1) Use of CDISC SDTM terms 2) Automatic or manual slope selection 3) Supporting both 'linear-up linear-down' and 'linear-up log-down' method 4) Interval(partial) AUCs with 'linear' or 'log' interpolation method * Reference: Gabrielsson J, Weiner D. Pharmacokinetic and Pharmacodynamic Data Analysis - Concepts and Applications. 5th ed. 2016. (ISBN:9198299107).</description>
      <guid>['https://cran.r-project.org/src/contrib/Archive/NonCompart/NonCompart_0.7.1.tar.gz', 'https://cran.r-project.org/src/contrib/NonCompart_0.7.1.tar.gz']</guid>
      <pubDate>Mon, 09 Mar 2026 08:26:26 GMT</pubDate>
      <source>https://cran.r-project.org/package=NonCompart</source>
    </item>
    <item>
      <title>r-didimputation 0.5.1 [linux-64, osx-64, win-64]</title>
      <description>Estimates Two-way Fixed Effects difference-in-differences/event-study models using the imputation-based approach proposed by Borusyak, Jaravel, and Spiess (2021).</description>
      <guid>['https://cran.r-project.org/src/contrib/Archive/didimputation/didimputation_0.5.1.tar.gz', 'https://cran.r-project.org/src/contrib/didimputation_0.5.1.tar.gz']</guid>
      <pubDate>Mon, 09 Mar 2026 08:19:27 GMT</pubDate>
      <source>https://CRAN.R-project.org/package=didimputation</source>
    </item>
    <item>
      <title>erdtree 3.1.2 [linux-64, osx-64]</title>
      <description>erdtree (erd) is a cross-platform, multi-threaded, and general purpose filesystem and disk usage utility that is aware of .gitignore and hidden file rules.</description>
      <comments>https://github.com/solidiquis/erdtree</comments>
      <pubDate>Mon, 09 Mar 2026 08:06:39 GMT</pubDate>
      <source>https://github.com/solidiquis/erdtree</source>
    </item>
    <item>
      <title>netron 8.9.4 [noarch]</title>
      <description>Netron supports ONNX, TensorFlow Lite, Core ML, Keras, Caffe, Darknet, PyTorch, TensorFlow.js, Safetensors and NumPy. Netron has experimental support for TorchScript, TensorFlow, MXNet, OpenVINO, RKNN, ML.NET, ncnn, MNN, PaddlePaddle, GGUF and scikit-learn.</description>
      <pubDate>Mon, 09 Mar 2026 07:50:51 GMT</pubDate>
      <source>https://github.com/lutzroeder/netron</source>
    </item>
    <item>
      <title>r-admisc 0.39 [linux-64, noarch, osx-64, win-64]</title>
      <description>Contains functions used across packages 'DDIwR', 'QCA' and 'venn'. Interprets and translates, factorizes and negates SOP - Sum of Products expressions, for both binary and multi-value crisp sets, and extracts information (set names, set values) from those expressions. Other functions perform various other checks if possibly numeric (even if all numbers reside in a character vector) and coerce to numeric, or check if the numbers are whole. It also offers, among many others, a highly versatile recoding routine and some more flexible alternatives to the base functions 'with()' and 'within()'. SOP simplification functions in this package use related minimization from package 'QCA', which is recommended to be installed despite not being listed in the Imports field, due to circular dependency issues.</description>
      <guid>['https://cran.r-project.org/src/contrib/Archive/admisc/admisc_0.39.tar.gz', 'https://cran.r-project.org/src/contrib/admisc_0.39.tar.gz']</guid>
      <pubDate>Mon, 09 Mar 2026 07:45:17 GMT</pubDate>
      <source>https://github.com/dusadrian/admisc</source>
    </item>
    <item>
      <title>release-plz 0.3.157 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>release-plz automates the release process for Rust crates. It analyzes conventional commits to determine the next semantic version, updates changelogs, creates release PRs on GitHub/Gitea/GitLab, and publishes crates to crates.io.</description>
      <link>https://release-plz.dev/docs</link>
      <comments>https://github.com/release-plz/release-plz</comments>
      <pubDate>Mon, 09 Mar 2026 07:23:23 GMT</pubDate>
      <source>https://release-plz.dev/</source>
    </item>
    <item>
      <title>briefcase 0.4.1 [noarch]</title>
      <description>Tools to support converting a Python project into a standalone native application.</description>
      <comments>https://github.com/beeware/briefcase</comments>
      <guid>https://pypi.org/packages/source/b/briefcase/briefcase-0.4.1.tar.gz</guid>
      <pubDate>Mon, 09 Mar 2026 07:23:01 GMT</pubDate>
      <source>https://briefcase.beeware.org/</source>
    </item>
    <item>
      <title>diraccommon 9.1.1 [noarch]</title>
      <description>DIRAC (Distributed Infrastructure with Remote Agent Control) INTERWARE is a software framework for distributed computing providing a complete solution to one or more user community requiring access to distributed resources. DIRAC builds a layer between the users and the resources offering a common interface to a number of heterogeneous providers, integrating them in a seamless manner, providing interoperability, at the same time as an optimized, transparent and reliable usage of the resources.  DIRAC has been started by the LHCb collaboration who still maintains it. It is now used by several communities (AKA VO=Virtual Organizations) for their distributed computing workflows.</description>
      <link>https://dirac.readthedocs.io/</link>
      <comments>https://github.com/DIRACGrid/DIRAC/</comments>
      <pubDate>Mon, 09 Mar 2026 07:01:43 GMT</pubDate>
      <source>https://github.com/DIRACGrid/DIRAC/tree/integration/dirac-common</source>
    </item>
    <item>
      <title>docling-core 2.69.0 [noarch]</title>
      <description>A python library to define and validate data types in Docling.</description>
      <pubDate>Mon, 09 Mar 2026 06:51:59 GMT</pubDate>
      <source>https://github.com/docling-project/docling-core</source>
    </item>
    <item>
      <title>lightningcss 1.32.0 [linux-64, linux-aarch64, linux-ppc64le, osx-64, osx-arm64, win-64]</title>
      <description>An extremely fast CSS parser, transformer, bundler, and minifier written in Rust.</description>
      <comments>https://github.com/parcel-bundler/lightningcss</comments>
      <pubDate>Mon, 09 Mar 2026 06:32:34 GMT</pubDate>
      <source>https://github.com/parcel-bundler/lightningcss</source>
    </item>
    <item>
      <title>openslide 4.0.0 [linux-64, linux-aarch64, linux-ppc64le, osx-64, osx-arm64, win-64]</title>
      <description>OpenSlide is a C library that provides a simple interface to read whole-slide images (also known as virtual slides).</description>
      <guid>https://github.com/openslide/openslide/releases/download/v4.0.0/openslide-4.0.0.tar.xz</guid>
      <pubDate>Mon, 09 Mar 2026 06:07:03 GMT</pubDate>
      <source>https://openslide.org/</source>
    </item>
    <item>
      <title>vtk-io-ffmpeg 9.6.0 [linux-64, linux-aarch64, linux-ppc64le, osx-64, osx-arm64]</title>
      <description>The Visualization Toolkit (VTK) is an open-source, freely available software system for 3D computer graphics, modeling, image processing, volume rendering, scientific visualization, and information visualization.</description>
      <link>https://vtk.org/documentation</link>
      <comments>https://gitlab.kitware.com/vtk/vtk</comments>
      <guid>http://www.vtk.org/files/release/9.5/VTK-9.5.2.tar.gz</guid>
      <pubDate>Mon, 09 Mar 2026 03:45:03 GMT</pubDate>
      <source>http://www.vtk.org/</source>
    </item>
    <item>
      <title>vtk-base 9.6.0 [linux-64, linux-aarch64, linux-ppc64le, osx-64, osx-arm64, win-64]</title>
      <description>The Visualization Toolkit (VTK) is an open-source, freely available software system for 3D computer graphics, modeling, image processing, volume rendering, scientific visualization, and information visualization.</description>
      <link>https://vtk.org/documentation</link>
      <comments>https://gitlab.kitware.com/vtk/vtk</comments>
      <guid>http://www.vtk.org/files/release/9.5/VTK-9.5.2.tar.gz</guid>
      <pubDate>Mon, 09 Mar 2026 03:44:11 GMT</pubDate>
      <source>http://www.vtk.org/</source>
    </item>
    <item>
      <title>ndbc-api 0.26.3.8.1 [noarch]</title>
      <description>A Python API for the National Data Buoy Center.</description>
      <guid>https://pypi.org/packages/source/n/ndbc-api/ndbc_api-0.26.3.8.1.tar.gz</guid>
      <pubDate>Mon, 09 Mar 2026 03:24:14 GMT</pubDate>
      <source>https://github.com/cdjellen/ndbc-api</source>
    </item>
    <item>
      <title>astropy-iers-data 0.2026.3.9.0.47.45 [noarch]</title>
      <description>IERS Earth Rotation and Leap Second tables for the astropy core package</description>
      <guid>https://pypi.org/packages/source/a/astropy-iers-data/astropy_iers_data-0.2026.3.9.0.47.45.tar.gz</guid>
      <pubDate>Mon, 09 Mar 2026 02:09:57 GMT</pubDate>
      <source>https://github.com/astropy/astropy-iers-data/</source>
    </item>
    <item>
      <title>gws 0.8.1 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>Google Workspace CLI (gws) is a command-line tool for interacting with Google Workspace services including Drive, Gmail, Calendar, Sheets, Docs, Chat, Admin, and more. Its command surface is dynamically built from the Google Discovery Service. Includes AI agent skills and MCP server support.</description>
      <comments>https://github.com/googleworkspace/cli</comments>
      <pubDate>Mon, 09 Mar 2026 01:06:42 GMT</pubDate>
      <source>https://github.com/googleworkspace/cli</source>
    </item>
    <item>
      <title>groq 1.1.0 [noarch]</title>
      <description>The official Python library for the groq API</description>
      <guid>https://pypi.org/packages/source/g/groq/groq-1.1.0.tar.gz</guid>
      <pubDate>Mon, 09 Mar 2026 01:04:36 GMT</pubDate>
      <source>https://console.groq.com/docs/quickstart</source>
    </item>
    <item>
      <title>indexed_zstd 1.7.0 [linux-64, osx-64, win-64]</title>
      <description>Fast random access to zstd files</description>
      <guid>https://pypi.org/packages/source/i/indexed_zstd/indexed_zstd-1.7.0.tar.gz</guid>
      <pubDate>Mon, 09 Mar 2026 01:01:12 GMT</pubDate>
      <source>https://github.com/martinellimarco/indexed_zstd.git</source>
    </item>
    <item>
      <title>optiwindnet 0.2.0 [noarch]</title>
      <description>OptiWindNet is an electrical network design tool for offshore wind farms developed at the Technical University of Denmark – DTU. The package offers a framework to obtain optimal or near-optimal cable routes for a given turbine layout within the cable-laying boundaries. It provides high-level access to heuristic, meta-heuristic and mathematical optimization approaches to the problem.</description>
      <link>https://optiwindnet.readthedocs.io/</link>
      <comments>https://gitlab.windenergy.dtu.dk/TOPFARM/OptiWindNet</comments>
      <pubDate>Sun, 08 Mar 2026 23:52:35 GMT</pubDate>
      <source>https://optiwindnet.readthedocs.io/</source>
    </item>
    <item>
      <title>seamless-3dep 0.4.0 [noarch]</title>
      <description>Streamlined Access to USGS 3DEP Topographic Data</description>
      <link>https://seamless-3dep.readthedocs.io</link>
      <comments>https://github.com/hyriver/seamless-3dep</comments>
      <guid>https://pypi.org/packages/source/s/seamless-3dep/seamless_3dep-0.4.0.tar.gz</guid>
      <pubDate>Sun, 08 Mar 2026 23:49:09 GMT</pubDate>
      <source>https://seamless-3dep.readthedocs.io</source>
    </item>
    <item>
      <title>disdrodb 0.6.2 [noarch]</title>
      <description>disdrodb - an open-source python software for standardized processing, sharing, and analysis of disdrometer data</description>
      <guid>https://pypi.org/packages/source/d/disdrodb/disdrodb-0.6.2.tar.gz</guid>
      <pubDate>Sun, 08 Mar 2026 23:46:32 GMT</pubDate>
      <source>https://github.com/ltelab/disdrodb</source>
    </item>
    <item>
      <title>ark 0.1.239 [linux-64, linux-aarch64, linux-ppc64le, osx-64, osx-arm64, win-64]</title>
      <description>Ark, an R kernel</description>
      <comments>https://github.com/posit-dev/ark</comments>
      <guid>https://github.com/posit-dev/ark/archive/0.1.156.tar.gz</guid>
      <pubDate>Sun, 08 Mar 2026 23:38:38 GMT</pubDate>
      <source>https://github.com/posit-dev/ark</source>
    </item>
    <item>
      <title>uutils-coreutils 0.7.0 [linux-64, osx-64, 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/0.4.0.tar.gz</guid>
      <pubDate>Sun, 08 Mar 2026 23:34:16 GMT</pubDate>
      <source>https://uutils.github.io/coreutils/</source>
    </item>
    <item>
      <title>optype-numpy 0.17.0 [noarch]</title>
      <description>Opinionated typing package for developing beautifully accurate typing annotations, compatible with both static- and runtime type-checkers, and is battle-tested. OpType has (optional) NumPy typing tools for annotating shape-typed array-likes of with specific dtype, dtype-likes, and much more.</description>
      <link>https://jorenham.github.io/optype/</link>
      <comments>https://github.com/jorenham/optype/</comments>
      <pubDate>Sun, 08 Mar 2026 23:26:57 GMT</pubDate>
      <source>https://github.com/jorenham/optype/</source>
    </item>
    <item>
      <title>turm 0.14.0 [linux-64, linux-aarch64, linux-ppc64le]</title>
      <description>A text-based user interface (TUI) for the Slurm Workload Manager, which provides a convenient way to manage your cluster jobs.</description>
      <link>https://github.com/karimknaebel/turm</link>
      <comments>https://github.com/karimknaebel/turm</comments>
      <pubDate>Sun, 08 Mar 2026 23:16:12 GMT</pubDate>
      <source>https://github.com/karimknaebel/turm</source>
    </item>
    <item>
      <title>pyqt6-charts 6.8.1 [linux-64, osx-64, osx-arm64, win-64]</title>
      <description>PyQt5 is a comprehensive set of Python bindings for Qt v5. It is implemented as more than 35 extension modules and enables Python to be used as an alternative application development language to C++ on all supported platforms including iOS and Android.</description>
      <link>https://www.riverbankcomputing.com/static/Docs/PyQt5/</link>
      <comments>https://www.riverbankcomputing.com/mailman/listinfo/pyqt/</comments>
      <pubDate>Sun, 08 Mar 2026 23:14:13 GMT</pubDate>
      <source>https://www.riverbankcomputing.com/software/pyqt/</source>
    </item>
    <item>
      <title>pyqt6 6.8.1 [linux-64, osx-64, osx-arm64, win-64]</title>
      <description>PyQt5 is a comprehensive set of Python bindings for Qt v5. It is implemented as more than 35 extension modules and enables Python to be used as an alternative application development language to C++ on all supported platforms including iOS and Android.</description>
      <link>https://www.riverbankcomputing.com/static/Docs/PyQt5/</link>
      <comments>https://www.riverbankcomputing.com/mailman/listinfo/pyqt/</comments>
      <pubDate>Sun, 08 Mar 2026 23:09:42 GMT</pubDate>
      <source>https://www.riverbankcomputing.com/software/pyqt/</source>
    </item>
    <item>
      <title>dxcam 0.1.0 [noarch]</title>
      <description>A Python high-performance screenshot library for Windows use Desktop Duplication API</description>
      <comments>https://github.com/ra1nty/DXcam</comments>
      <guid>https://pypi.org/packages/source/d/dxcam/dxcam-0.1.0.tar.gz</guid>
      <pubDate>Sun, 08 Mar 2026 22:56:10 GMT</pubDate>
      <source>https://github.com/ra1nty/DXcam</source>
    </item>
    <item>
      <title>jsonschema-rs 0.45.0 [linux-64, linux-aarch64, linux-ppc64le, osx-64, osx-arm64, win-64]</title>
      <description>A high-performance JSON Schema validator for Python</description>
      <comments>https://github.com/Stranger6667/jsonschema</comments>
      <pubDate>Sun, 08 Mar 2026 22:44:44 GMT</pubDate>
      <source>https://pypi.org/project/jsonschema-rs</source>
    </item>
    <item>
      <title>scipy-stubs 1.17.1.1 [noarch]</title>
      <description>Stubs package providing type annotations and static type checking support for SciPy, enabling improved type inference and static analysis for scientific computing and numerical programming in modern Python.</description>
      <link>https://github.com/scipy/scipy-stubs?tab=readme-ov-file#scipy-stubs</link>
      <comments>https://github.com/scipy/scipy-stubs/</comments>
      <guid>https://files.pythonhosted.org/packages/source/s/scipy-stubs/scipy_stubs-1.15.1.0.tar.gz</guid>
      <pubDate>Sun, 08 Mar 2026 22:42:41 GMT</pubDate>
      <source>https://github.com/scipy/scipy-stubs/</source>
    </item>
    <item>
      <title>scipy-typed 1.17.1.1 [noarch]</title>
      <description>Stubs package providing type annotations and static type checking support for SciPy, enabling improved type inference and static analysis for scientific computing and numerical programming in modern Python.</description>
      <link>https://github.com/scipy/scipy-stubs?tab=readme-ov-file#scipy-stubs</link>
      <comments>https://github.com/scipy/scipy-stubs/</comments>
      <guid>https://files.pythonhosted.org/packages/source/s/scipy-stubs/scipy_stubs-1.15.1.0.tar.gz</guid>
      <pubDate>Sun, 08 Mar 2026 22:42:41 GMT</pubDate>
      <source>https://github.com/scipy/scipy-stubs/</source>
    </item>
    <item>
      <title>pyqt6-sip 13.10.0 [linux-64, osx-64, osx-arm64, win-64]</title>
      <description>PyQt5 is a comprehensive set of Python bindings for Qt v5. It is implemented as more than 35 extension modules and enables Python to be used as an alternative application development language to C++ on all supported platforms including iOS and Android.</description>
      <link>https://www.riverbankcomputing.com/static/Docs/PyQt5/</link>
      <comments>https://www.riverbankcomputing.com/mailman/listinfo/pyqt/</comments>
      <pubDate>Sun, 08 Mar 2026 22:12:23 GMT</pubDate>
      <source>https://www.riverbankcomputing.com/software/pyqt/</source>
    </item>
    <item>
      <title>libvpl-tools 1.5.0 [linux-64]</title>
      <description>Intel® Video Processing Library (Intel® VPL) provides access to hardware accelerated video decode, encode, and processing capabilities on Intel® GPUs to support AI visual inference, media delivery, cloud gaming, and virtual desktop infrastructure use cases.</description>
      <pubDate>Sun, 08 Mar 2026 22:07:34 GMT</pubDate>
      <source>https://github.com/intel/media-driver</source>
    </item>
    <item>
      <title>vpl-gpu-rt 26.1.3 [linux-64]</title>
      <description>Intel® Video Processing Library (Intel® VPL) GPU Runtime is a Runtime implementation of Intel® VPL API for Intel Gen GPUs. Runtime provides access to hardware-accelerated video decode, encode and filtering.</description>
      <pubDate>Sun, 08 Mar 2026 22:07:25 GMT</pubDate>
      <source>https://github.com/intel/vpl-gpu-rt</source>
    </item>
    <item>
      <title>itkwasm 1.0b195 [linux-64, osx-64, win-64]</title>
      <description>Python interface to itk-wasm WebAssembly (Wasm) modules.</description>
      <link>https://docs.itk.org/projects/wasm/en/latest/</link>
      <guid>https://pypi.org/packages/source/i/itkwasm/itkwasm-1.0b195.tar.gz</guid>
      <pubDate>Sun, 08 Mar 2026 22:05:18 GMT</pubDate>
      <source>https://pypi.org/project/itkwasm/</source>
    </item>
    <item>
      <title>r-pagoda2 1.0.14 [linux-64, osx-64, win-64]</title>
      <description>Analyzing and interactively exploring large-scale single-cell RNA-seq datasets. 'pagoda2' primarily performs normalization and differential gene expression analysis, with an interactive application for exploring single-cell RNA-seq datasets. It performs basic tasks such as cell size normalization, gene variance normalization, and can be used to identify subpopulations and run differential expression within individual samples. 'pagoda2' was written to rapidly process modern large-scale scRNAseq datasets of approximately 1e6 cells. The companion web application allows users to explore which gene expression patterns form the different subpopulations within your data. The package also serves as the primary method for preprocessing data for conos, &lt;https://github.com/kharchenkolab/conos&gt;. This package interacts with data available through the 'p2data' package, which is available in a 'drat' repository. To access this data package, see the instructions at &lt;https://github.com/kharchenkolab/pagoda2&gt;. The size of the 'p2data' package is approximately 6 MB.</description>
      <guid>['https://cran.r-project.org/src/contrib/Archive/pagoda2/pagoda2_1.0.14.tar.gz', 'https://cran.r-project.org/src/contrib/pagoda2_1.0.14.tar.gz']</guid>
      <pubDate>Sun, 08 Mar 2026 22:01:44 GMT</pubDate>
      <source>https://github.com/kharchenkolab/pagoda2</source>
    </item>
    <item>
      <title>mkdocs-quiz 1.6.2 [noarch]</title>
      <description>A MkDocs plugin to create interactive quizzes in your markdown.</description>
      <link>https://ewels.github.io/mkdocs-quiz/</link>
      <comments>https://github.com/ewels/mkdocs-quiz</comments>
      <guid>https://pypi.org/packages/source/m/mkdocs-quiz/mkdocs_quiz-1.6.2.tar.gz</guid>
      <pubDate>Sun, 08 Mar 2026 21:55:24 GMT</pubDate>
      <source>https://ewels.github.io/mkdocs-quiz/</source>
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