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    <title>Anaconda repository updates</title>
    <link>http://repo.continuum.io/pkgs/</link>
    <description>Recent updates to the conda default repository</description>
    <language>en</language>
    <copyright>Copyright 2026, Anaconda, Inc.</copyright>
    <pubDate>Tue, 11 Aug 2026 19:00:47 GMT</pubDate>
    <item>
      <title>gflags 2.3.1 [linux-32, linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-32, win-64]</title>
      <description>gflags are Commandline flags that Users specify on the command line when they run an executable.</description>
      <link>https://gflags.github.io/gflags</link>
      <comments>https://github.com/gflags/gflags</comments>
      <guid>https://github.com/gflags/gflags/archive/v2.3.1.tar.gz</guid>
      <pubDate>Tue, 11 Aug 2026 10:59:51 GMT</pubDate>
      <source>https://github.com/gflags/gflags</source>
    </item>
    <item>
      <title>fugue-sql-antlr 0.2.4 [linux-64, linux-aarch64, linux-ppc64le, osx-64, osx-arm64, win-64]</title>
      <description>Fugue SQL Antlr Parser</description>
      <link>https://github.com/fugue-project/fugue-sql-antlr/blob/master/README.md</link>
      <comments>https://github.com/fugue-project/fugue-sql-antlr</comments>
      <guid>https://github.com/fugue-project/fugue-sql-antlr/archive/refs/tags/0.2.4.tar.gz</guid>
      <pubDate>Tue, 11 Aug 2026 10:47:13 GMT</pubDate>
      <source>https://github.com/fugue-project/fugue-sql-antlr</source>
    </item>
    <item>
      <title>croniter 6.2.4 [linux-64, linux-aarch64, linux-ppc64le, linux-s390x, noarch, osx-64, osx-arm64, win-64]</title>
      <description>croniter provides iteration for the datetime object with a cron like format</description>
      <link>https://github.com/pallets-eco/croniter#readme</link>
      <comments>https://github.com/pallets-eco/croniter</comments>
      <guid>https://pypi.org/packages/source/c/croniter/croniter-6.2.4.tar.gz</guid>
      <pubDate>Tue, 11 Aug 2026 10:26:41 GMT</pubDate>
      <source>https://github.com/pallets-eco/croniter</source>
    </item>
    <item>
      <title>portalocker 4.1.0 [linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-32, win-64]</title>
      <description>An easy library for Python file locking. It works on Windows, Linux, BSD and Unix systems and can even perform distributed locking. Naturally it also supports the with statement.</description>
      <link>https://portalocker.readthedocs.org</link>
      <comments>https://github.com/WoLpH/portalocker</comments>
      <guid>https://pypi.org/packages/source/p/portalocker/portalocker-4.1.0.tar.gz</guid>
      <pubDate>Tue, 11 Aug 2026 09:56:33 GMT</pubDate>
      <source>https://github.com/WoLpH/portalocker</source>
    </item>
    <item>
      <title>optree 0.19.1 [linux-64, linux-aarch64, linux-s390x, osx-64, osx-arm64, win-64]</title>
      <description>Optimized PyTree Utilities.</description>
      <link>https://optree.readthedocs.io</link>
      <comments>https://github.com/metaopt/optree</comments>
      <guid>https://pypi.io/packages/source/o/optree/optree-0.12.1.tar.gz</guid>
      <pubDate>Tue, 11 Aug 2026 09:34:57 GMT</pubDate>
      <source>https://github.com/metaopt/optree</source>
    </item>
    <item>
      <title>propcache 0.5.2 [linux-64, linux-aarch64, linux-s390x, osx-64, osx-arm64, win-64]</title>
      <description>The module provides a fast implementation of cached properties for Python 3.9+.</description>
      <link>https://propcache.readthedocs.io</link>
      <comments>https://github.com/aio-libs/propcache</comments>
      <guid>https://pypi.org/packages/source/p/propcache/propcache-0.5.2.tar.gz</guid>
      <pubDate>Tue, 11 Aug 2026 09:34:55 GMT</pubDate>
      <source>https://github.com/aio-libs/propcache</source>
    </item>
    <item>
      <title>weasel 1.0.0 [linux-64, linux-aarch64, linux-s390x, osx-64, osx-arm64, win-64]</title>
      <description>Weasel lets you manage and share end-to-end workflows for different use cases and domains, and orchestrate training, packaging and serving your custom pipelines.</description>
      <link>https://github.com/explosion/weasel</link>
      <comments>https://github.com/explosion/weasel</comments>
      <guid>https://pypi.org/packages/source/w/weasel/weasel-1.0.0.tar.gz</guid>
      <pubDate>Tue, 11 Aug 2026 09:25:02 GMT</pubDate>
      <source>https://github.com/explosion/weasel</source>
    </item>
    <item>
      <title>streamlit-tests 1.61.1 [linux-64, linux-aarch64, linux-s390x, osx-64, osx-arm64, win-64]</title>
      <description>Streamlit lets you turn data scripts into sharable web apps in minutes, not weeks. It's all Python, open-source, and free!</description>
      <link>https://docs.streamlit.io</link>
      <comments>https://github.com/streamlit/streamlit</comments>
      <pubDate>Tue, 11 Aug 2026 08:31:42 GMT</pubDate>
      <source>https://streamlit.io</source>
    </item>
    <item>
      <title>streamlit 1.61.1 [linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-64]</title>
      <description>Streamlit lets you turn data scripts into sharable web apps in minutes, not weeks. It's all Python, open-source, and free!</description>
      <link>https://docs.streamlit.io</link>
      <comments>https://github.com/streamlit/streamlit</comments>
      <guid>https://pypi.io/packages/source/s/streamlit/streamlit-1.41.1.tar.gz</guid>
      <pubDate>Tue, 11 Aug 2026 08:31:17 GMT</pubDate>
      <source>https://streamlit.io</source>
    </item>
    <item>
      <title>slack_sdk 3.43.0 [linux-64, linux-aarch64, noarch, osx-64, osx-arm64, win-64]</title>
      <description>The Slack platform offers several APIs to build apps. Each Slack API delivers part of the capabilities from the platform, so that you can pick just those that fit for your needs. This SDK offers a corresponding package for each of Slack's APIs. They are small and powerful when used independently, and work seamlessly when used together, too.</description>
      <link>https://slack.dev/python-slack-sdk</link>
      <comments>https://github.com/slackapi/python-slack-sdk</comments>
      <guid>https://pypi.org/packages/source/s/slack-sdk/slack_sdk-3.43.0.tar.gz</guid>
      <pubDate>Tue, 11 Aug 2026 08:23:29 GMT</pubDate>
      <source>https://slack.dev</source>
    </item>
    <item>
      <title>slack-sdk 3.43.0 [linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-32, win-64]</title>
      <description>The Slack platform offers several APIs to build apps. Each Slack API delivers part of the capabilities from the platform, so that you can pick just those that fit for your needs. This SDK offers a corresponding package for each of Slack's APIs. They are small and powerful when used independently, and work seamlessly when used together, too.</description>
      <link>https://slack.dev/python-slack-sdk</link>
      <comments>https://github.com/slackapi/python-slack-sdk</comments>
      <guid>https://pypi.org/packages/source/s/slack-sdk/slack_sdk-3.43.0.tar.gz</guid>
      <pubDate>Tue, 11 Aug 2026 08:23:14 GMT</pubDate>
      <source>https://slack.dev</source>
    </item>
    <item>
      <title>pysmi 2.0.2 [linux-32, linux-64, linux-aarch64, linux-ppc64le, linux-s390x, noarch, osx-64, osx-arm64, win-32, win-64]</title>
      <description>A pure-Python implementation of SNMP/SMI MIB parsing and conversion library.</description>
      <link>https://docs.lextudio.com/pysmi</link>
      <comments>https://github.com/lextudio/pysmi</comments>
      <guid>https://github.com/lextudio/pysmi/archive/refs/tags/v2.0.2.tar.gz</guid>
      <pubDate>Tue, 11 Aug 2026 06:32:50 GMT</pubDate>
      <source>https://pysnmp.com</source>
    </item>
    <item>
      <title>onnxscript 0.7.1 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>Naturally author ONNX functions and models using a subset of Python</description>
      <link>https://microsoft.github.io/onnxscript</link>
      <comments>https://github.com/microsoft/onnxscript</comments>
      <guid>https://github.com/microsoft/onnxscript/archive/refs/tags/v0.7.1.tar.gz</guid>
      <pubDate>Tue, 11 Aug 2026 06:26:16 GMT</pubDate>
      <source>https://microsoft.github.io/onnxscript</source>
    </item>
    <item>
      <title>pikepdf 10.11.0 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>pikepdf is a Python library allowing creation, manipulation and repair of PDFs. It provides a Pythonic wrapper around the C++ PDF content transformation library, QPDF.</description>
      <link>https://pikepdf.readthedocs.io</link>
      <comments>https://github.com/pikepdf/pikepdf</comments>
      <guid>https://pypi.org/packages/source/p/pikepdf/pikepdf-10.11.0.tar.gz</guid>
      <pubDate>Tue, 11 Aug 2026 05:46:22 GMT</pubDate>
      <source>https://github.com/pikepdf/pikepdf</source>
    </item>
    <item>
      <title>cutlass 4.6.2 [linux-64, linux-aarch64, win-64]</title>
      <description>CUTLASS is a collection of abstractions for implementing high-performance matrix-matrix multiplication (GEMM) and related computations at all levels and scales within CUDA. It incorporates strategies for hierarchical decomposition and data movement. CUTLASS decomposes these &quot;moving parts&quot; into reusable, modular software components and abstractions.</description>
      <link>https://docs.nvidia.com/cutlass</link>
      <comments>https://github.com/NVIDIA/cutlass</comments>
      <guid>https://github.com/NVIDIA/cutlass/archive/refs/tags/v4.6.2.tar.gz</guid>
      <pubDate>Mon, 10 Aug 2026 16:09:07 GMT</pubDate>
      <source>https://github.com/NVIDIA/cutlass</source>
    </item>
    <item>
      <title>qpdf 12.3.2 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>With QPDF, it is possible to copy objects from one PDF file into another and to manipulate the list of pages in a PDF file.  This makes it possible to merge and split PDF files. The QPDF library also makes it possible for you to create PDF files from scratch.  In this mode, you are responsible for supplying all the contents of the file, while the QPDF library takes care off all the syntactical representation of the objects, creation of cross references tables and, if you use them, object streams, encryption, linearization, and other syntactic details.</description>
      <link>https://qpdf.readthedocs.io</link>
      <comments>https://github.com/qpdf/qpdf</comments>
      <guid>https://github.com/qpdf/qpdf/archive/refs/tags/v12.3.2.tar.gz</guid>
      <pubDate>Mon, 10 Aug 2026 16:04:11 GMT</pubDate>
      <source>https://qpdf.sourceforge.io</source>
    </item>
    <item>
      <title>google-api-core-grpc 2.33.0 [linux-64, linux-aarch64, linux-ppc64le, linux-s390x, noarch, osx-64, osx-arm64, win-32, win-64]</title>
      <description>Core Library for Google Client Libraries with grpc -------------------------  google-api-core-grpc installs google-api-core and the grpc extra requirements.  This library is not meant to stand-alone. Instead it defines common helpers used by all Google API clients. For more information, see the [documentation](https://googleapis.dev/python/google-api-core/latest/index.html).  Supported Python Versions ------------------------- Python &gt;= 3.5  Deprecated Python Versions -------------------------- Python == 2.7 - Python 2.7 support will be removed on January 1, 2020. - protobuf does not support Visual C++ 2008, windows py27 package not available</description>
      <link>https://googleapis.dev/python/google-api-core/latest/index.html</link>
      <comments>https://github.com/googleapis/python-api-core</comments>
      <guid>https://pypi.org/packages/source/g/google-api-core/google_api_core-2.33.0.tar.gz</guid>
      <pubDate>Mon, 10 Aug 2026 14:47:57 GMT</pubDate>
      <source>https://github.com/googleapis/python-api-core</source>
    </item>
    <item>
      <title>google-api-core 2.33.0 [linux-64, linux-aarch64, linux-ppc64le, linux-s390x, noarch, osx-64, osx-arm64, win-32, win-64]</title>
      <description>Core Library for Google Client Libraries ------------------------- This library is not meant to stand-alone. Instead it defines common helpers used by all Google API clients. For more information, see the documentation.</description>
      <link>https://googleapis.dev/python/google-api-core/latest/index.html</link>
      <comments>https://github.com/googleapis/python-api-core</comments>
      <guid>https://pypi.org/packages/source/g/google-api-core/google_api_core-2.33.0.tar.gz</guid>
      <pubDate>Mon, 10 Aug 2026 14:47:49 GMT</pubDate>
      <source>https://github.com/googleapis/python-api-core</source>
    </item>
    <item>
      <title>scp 0.16.1 [linux-32, linux-64, linux-aarch64, linux-ppc64le, noarch, osx-64, osx-arm64, win-32, win-64]</title>
      <description>The scp.py module uses a paramiko transport to send and receive files via the scp1 protocol. This is the protocol as referenced from the openssh scp program, and has only been tested with this implementation.</description>
      <link>https://github.com/jbardin/scp.py/blob/master/README.rst</link>
      <comments>https://github.com/jbardin/scp.py</comments>
      <guid>https://pypi.org/packages/source/s/scp/scp-0.16.1.tar.gz</guid>
      <pubDate>Mon, 10 Aug 2026 14:46:34 GMT</pubDate>
      <source>https://github.com/jbardin/scp.py.git</source>
    </item>
    <item>
      <title>pytest-describe 3.2.0 [linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-64]</title>
      <description>pytest-describe is a plugin for pytest that allows tests to be written in arbitrary nested describe-blocks, similar to RSpec (Ruby) and Jasmine (JavaScript).</description>
      <link>https://github.com/pytest-dev/pytest-describe/blob/main/README.md</link>
      <comments>https://github.com/pytest-dev/pytest-describe</comments>
      <guid>https://pypi.org/packages/source/p/pytest-describe/pytest_describe-3.2.0.tar.gz</guid>
      <pubDate>Mon, 10 Aug 2026 14:46:21 GMT</pubDate>
      <source>https://github.com/pytest-dev/pytest-describe</source>
    </item>
    <item>
      <title>formulaic 1.2.2 [linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-64]</title>
      <description>Formulaic is a high-performance implementation of Wilkinson formulas for Python.</description>
      <link>https://matthewwardrop.github.io/formulaic</link>
      <comments>https://github.com/matthewwardrop/formulaic</comments>
      <guid>https://pypi.org/packages/source/f/formulaic/formulaic-1.2.2.tar.gz</guid>
      <pubDate>Mon, 10 Aug 2026 14:45:31 GMT</pubDate>
      <source>https://github.com/matthewwardrop/formulaic</source>
    </item>
    <item>
      <title>onnx-ir 0.2.1 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>An in-memory IR that supports the full ONNX spec, designed for graph construction, analysis and transformation.</description>
      <link>https://onnx.ai/ir-py</link>
      <comments>https://github.com/onnx/ir-py</comments>
      <guid>https://github.com/onnx/ir-py/archive/refs/tags/v0.2.1.tar.gz</guid>
      <pubDate>Mon, 10 Aug 2026 14:21:29 GMT</pubDate>
      <source>https://onnx.ai/ir-py</source>
    </item>
    <item>
      <title>cstool 5.0.9 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>Capstone is a lightweight multi-platform, multi-architecture disassembly framework</description>
      <link>http://www.capstone-engine.org/documentation.html</link>
      <comments>https://github.com/aquynh/capstone</comments>
      <guid>https://github.com/capstone-engine/capstone/archive/5.0.9.tar.gz</guid>
      <pubDate>Mon, 10 Aug 2026 12:39:45 GMT</pubDate>
      <source>http://www.capstone-engine.org/</source>
    </item>
    <item>
      <title>capstone 5.0.9 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>Capstone is a lightweight multi-platform, multi-architecture disassembly framework</description>
      <link>http://www.capstone-engine.org/documentation.html</link>
      <comments>https://github.com/aquynh/capstone</comments>
      <guid>https://github.com/capstone-engine/capstone/archive/5.0.9.tar.gz</guid>
      <pubDate>Mon, 10 Aug 2026 12:39:40 GMT</pubDate>
      <source>http://www.capstone-engine.org/</source>
    </item>
    <item>
      <title>libcapstone 5.0.9 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>Capstone is a lightweight multi-platform, multi-architecture disassembly framework</description>
      <link>http://www.capstone-engine.org/documentation.html</link>
      <comments>https://github.com/aquynh/capstone</comments>
      <guid>https://github.com/capstone-engine/capstone/archive/5.0.9.tar.gz</guid>
      <pubDate>Mon, 10 Aug 2026 12:39:01 GMT</pubDate>
      <source>http://www.capstone-engine.org/</source>
    </item>
    <item>
      <title>simplejson 4.1.1 [linux-32, linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-32, win-64]</title>
      <description>simplejson is a simple, fast, complete, correct and extensible JSON  encoder and decoder for Python 2.5+ and Python 3.3+. It is pure Python code with no dependencies, but includes an optional C extension for a serious speed boost.</description>
      <link>https://simplejson.readthedocs.io</link>
      <comments>https://github.com/simplejson/simplejson</comments>
      <guid>https://pypi.org/packages/source/s/simplejson/simplejson-4.1.1.tar.gz</guid>
      <pubDate>Mon, 10 Aug 2026 12:33:01 GMT</pubDate>
      <source>https://github.com/simplejson/simplejson</source>
    </item>
    <item>
      <title>onnx 1.22.0 [linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-32, win-64]</title>
      <description>Open Neural Network Exchange (ONNX) is the first step toward an open ecosystem that empowers AI developers to choose the right tools as their project evolves. ONNX provides an open source format for AI models. It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types. Initially we focus on the capabilities needed for inferencing (evaluation).</description>
      <link>https://onnx.ai/onnx</link>
      <comments>https://github.com/onnx/onnx</comments>
      <guid>https://pypi.org/packages/source/o/onnx/onnx-1.22.0.tar.gz</guid>
      <pubDate>Mon, 10 Aug 2026 12:15:17 GMT</pubDate>
      <source>https://onnx.ai</source>
    </item>
    <item>
      <title>phonenumbers 9.0.36 [linux-32, linux-64, linux-aarch64, linux-ppc64le, linux-s390x, noarch, osx-64, osx-arm64, win-32, win-64]</title>
      <description>Python version of Google's common library for parsing, formatting, storing and validating international phone numbers.</description>
      <link>https://github.com/daviddrysdale/python-phonenumbers/blob/dev/README.md</link>
      <comments>https://github.com/daviddrysdale/python-phonenumbers</comments>
      <guid>https://pypi.org/packages/source/p/phonenumbers/phonenumbers-9.0.36.tar.gz</guid>
      <pubDate>Mon, 10 Aug 2026 12:11:43 GMT</pubDate>
      <source>https://github.com/daviddrysdale/python-phonenumbers</source>
    </item>
    <item>
      <title>madoka 0.7.2.1 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>Memory-efficient CountMin Sketch key-value structure (based on Madoka C++ library)</description>
      <link>https://github.com/ikegami-yukino/madoka-python</link>
      <comments>https://github.com/ikegami-yukino/madoka-python</comments>
      <guid>https://pypi.org/packages/source/m/madoka/madoka-0.7.2.1.tar.gz</guid>
      <pubDate>Mon, 10 Aug 2026 12:10:01 GMT</pubDate>
      <source>https://github.com/ikegami-yukino/madoka-python</source>
    </item>
    <item>
      <title>h5netcdf 1.8.1 [linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-64]</title>
      <description>A Python interface for the netCDF4 file-format that reads and writes local or remote HDF5 files directly via h5py or h5pyd, without relying on the Unidata netCDF library</description>
      <link>https://github.com/h5netcdf/h5netcdf</link>
      <comments>https://github.com/h5netcdf/h5netcdf</comments>
      <guid>https://pypi.org/packages/source/h/h5netcdf/h5netcdf-1.8.1.tar.gz</guid>
      <pubDate>Mon, 10 Aug 2026 12:08:51 GMT</pubDate>
      <source>https://github.com/h5netcdf/h5netcdf</source>
    </item>
    <item>
      <title>inline-snapshot 0.35.3 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>golden master/snapshot/approval testing library which puts the values right into your source code</description>
      <link>https://15r10nk.github.io/inline-snapshot/latest</link>
      <comments>https://github.com/15r10nk/inline-snapshots</comments>
      <guid>https://pypi.org/packages/source/i/inline-snapshot/inline_snapshot-0.35.3.tar.gz</guid>
      <pubDate>Mon, 10 Aug 2026 12:08:15 GMT</pubDate>
      <source>https://github.com/15r10nk/inline-snapshots</source>
    </item>
    <item>
      <title>thriftpy2 0.7.0 [linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-32, win-64]</title>
      <description>ThriftPy2 is a pure python implementation of Apache Thrift in a pythonic way.  The official thrift python lib is not pythonic at all, it needs a complicated process of installation, and the generated sdk is very ugly. Everytime the thrift file changed you have to re-generate the sdk which causes more pain in development.  ThriftPy2 helps that, it's compatible with Apache Thrift so you no longer need to install 'thrift' package, it can import thrift file on the fly so you no longer need to re-generate the sdk again and again and again.</description>
      <link>https://thriftpy2.readthedocs.io</link>
      <comments>https://github.com/Thriftpy/thriftpy2</comments>
      <guid>https://github.com/Thriftpy/thriftpy2/archive/refs/tags/v0.7.0.tar.gz</guid>
      <pubDate>Mon, 10 Aug 2026 12:07:08 GMT</pubDate>
      <source>https://thriftpy2.readthedocs.io</source>
    </item>
    <item>
      <title>types-jsonschema 4.26.0.20260518 [linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-64]</title>
      <description>This is a PEP 561 type stub package for the jsonschema package. It can be used by type-checking tools like mypy, pyright, pytype, PyCharm, etc. to check code that uses jsonschema.</description>
      <link>https://python-jsonschema.readthedocs.io</link>
      <comments>https://github.com/python/typeshed</comments>
      <pubDate>Mon, 10 Aug 2026 12:05:48 GMT</pubDate>
      <source>https://github.com/python/typeshed</source>
    </item>
    <item>
      <title>snowflake-connector-python 4.7.2 [linux-64, linux-aarch64, linux-ppc64le, osx-64, osx-arm64, win-64]</title>
      <description>The Snowflake Connector for Python provides an interface for developing Python applications that can connect to Snowflake and perform all standard operations. It provides a programming alternative to developing applications in Java or C/C++ using the Snowflake JDBC or ODBC drivers.</description>
      <link>https://docs.snowflake.net/manuals/user-guide/python-connector.html</link>
      <comments>https://github.com/snowflakedb/snowflake-connector-python</comments>
      <guid>https://github.com/snowflakedb/snowflake-connector-python/archive/refs/tags/v4.7.2.tar.gz</guid>
      <pubDate>Mon, 10 Aug 2026 12:03:34 GMT</pubDate>
      <source>https://github.com/snowflakedb/snowflake-connector-python</source>
    </item>
    <item>
      <title>patchelf 0.19.1 [linux-32, linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64]</title>
      <description>PatchELF is a small utility to modify the dynamic linker and RPATH of ELF executables.</description>
      <link>https://github.com/NixOS/patchelf/blob/master/README.md</link>
      <comments>https://github.com/NixOS/patchelf</comments>
      <guid>https://github.com/NixOS/patchelf/releases/download/0.19.1/patchelf-0.19.1.tar.bz2</guid>
      <pubDate>Mon, 10 Aug 2026 12:01:28 GMT</pubDate>
      <source>https://github.com/NixOS/patchelf</source>
    </item>
    <item>
      <title>antlr 4.9.3 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files.</description>
      <link>https://github.com/antlr/antlr4/blob/master/doc/index.md</link>
      <comments>https://github.com/antlr/antlr4</comments>
      <guid>https://github.com/antlr/antlr4/archive/4.9.3.tar.gz</guid>
      <pubDate>Mon, 10 Aug 2026 11:55:55 GMT</pubDate>
      <source>https://www.antlr.org</source>
    </item>
    <item>
      <title>gmpy2 2.3.1 [linux-32, linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-32, win-64]</title>
      <description>gmpy2 is a C-coded Python extension module that supports multiple-precision arithmetic. It is the successor to the original gmpy module (supported only the GMP library). gmpy2 adds support for the MPFR (correctly rounded real floating-point arithmetic) and MPC (correctly rounded complex floating-point arithmetic) libraries.</description>
      <link>https://gmpy2.readthedocs.io/</link>
      <comments>https://github.com/aleaxit/gmpy</comments>
      <guid>https://pypi.org/packages/source/g/gmpy2/gmpy2-2.3.1.tar.gz</guid>
      <pubDate>Mon, 10 Aug 2026 11:00:28 GMT</pubDate>
      <source>https://pypi.org/pypi/gmpy2</source>
    </item>
    <item>
      <title>annotated-doc 0.0.5 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>Document parameters, class attributes, return types, and variables inline, with Annotated.</description>
      <link>https://github.com/fastapi/annotated-doc</link>
      <comments>https://github.com/fastapi/annotated-doc</comments>
      <guid>https://pypi.org/packages/source/a/annotated-doc/annotated_doc-0.0.5.tar.gz</guid>
      <pubDate>Mon, 10 Aug 2026 11:00:11 GMT</pubDate>
      <source>https://github.com/fastapi/annotated-doc</source>
    </item>
    <item>
      <title>parserator 0.6.9 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>Parserator is a toolkit for making domain-specific probabilistic parsers, built on python-crfsuite. To create a parser, all you need is some training data to teach your parser about its domain.</description>
      <link>https://parserator.readthedocs.io</link>
      <comments>https://github.com/datamade/parserator</comments>
      <guid>https://pypi.org/packages/source/p/parserator/parserator-0.6.9.tar.gz</guid>
      <pubDate>Mon, 10 Aug 2026 10:44:00 GMT</pubDate>
      <source>https://github.com/datamade/parserator</source>
    </item>
    <item>
      <title>probableparsing 0.0.1 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>Common methods for probable parsing</description>
      <link>https://github.com/datamade/probableparsing</link>
      <comments>https://github.com/datamade/probableparsing</comments>
      <guid>https://pypi.io/packages/source/p/probableparsing/probableparsing-0.0.1.tar.gz</guid>
      <pubDate>Mon, 10 Aug 2026 10:43:33 GMT</pubDate>
      <source>https://github.com/datamade/probableparsing</source>
    </item>
    <item>
      <title>elasticsearch 9.4.1 [linux-32, linux-64, linux-aarch64, linux-ppc64le, linux-s390x, noarch, osx-64, osx-arm64, win-32, win-64]</title>
      <description>Official low-level client for Elasticsearch. Its goal is to provide common ground for all Elasticsearch-related code in Python; because of this it tries to be opinion-free and very extendable.</description>
      <link>https://elasticsearch-py.readthedocs.io</link>
      <comments>https://github.com/elastic/elasticsearch-py</comments>
      <guid>https://github.com/elastic/elasticsearch-py/archive/refs/tags/v9.4.1.tar.gz</guid>
      <pubDate>Mon, 10 Aug 2026 07:56:06 GMT</pubDate>
      <source>https://github.com/elastic/elasticsearch-py</source>
    </item>
    <item>
      <title>dash 4.4.1 [linux-64, linux-aarch64, linux-ppc64le, linux-s390x, noarch, osx-64, osx-arm64, win-64]</title>
      <description>Built on top of Plotly.js, React and Flask, Dash ties modern UI elements like dropdowns, sliders, and graphs directly to your analytical Python code.</description>
      <link>https://dash.plotly.com</link>
      <comments>https://github.com/plotly/dash</comments>
      <guid>https://pypi.io/packages/source/d/dash/dash-2.14.2.tar.gz</guid>
      <pubDate>Mon, 10 Aug 2026 07:54:44 GMT</pubDate>
      <source>https://plotly.com/dash</source>
    </item>
    <item>
      <title>pytorch-tests 2.13.0 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>PyTorch is a Python package that provides two high-level features:   - Tensor computation (like NumPy) with strong GPU acceleration   - Deep neural networks built on a tape-based autograd system You can reuse your favorite Python packages such as NumPy, SciPy, and Cython to extend PyTorch when needed.</description>
      <link>https://pytorch.org/docs/</link>
      <comments>https://github.com/pytorch/pytorch</comments>
      <pubDate>Sat, 08 Aug 2026 14:03:27 GMT</pubDate>
      <source>https://pytorch.org/</source>
    </item>
    <item>
      <title>camelot-py 2.0.0 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>Camelot is a Python library that can help you extract tables from PDFs. It gives you control over the table extraction process with tweakable settings, and works best on text-based (not scanned) PDFs.</description>
      <link>https://camelot-py.readthedocs.io</link>
      <comments>https://github.com/camelot-dev/camelot</comments>
      <guid>https://github.com/camelot-dev/camelot/archive/refs/tags/v2.0.0.tar.gz</guid>
      <pubDate>Sat, 08 Aug 2026 09:06:04 GMT</pubDate>
      <source>https://github.com/camelot-dev/camelot</source>
    </item>
    <item>
      <title>cuda-pathfinder 1.6.0 [linux-64, linux-aarch64, win-64]</title>
      <description>Public API for loading NVIDIA Dynamic Libraries</description>
      <link>https://nvidia.github.io/cuda-python/cuda-pathfinder</link>
      <comments>https://github.com/NVIDIA/cuda-python/tree/main/cuda_pathfinder</comments>
      <guid>https://github.com/NVIDIA/cuda-python/releases/download/cuda-pathfinder-v1.6.0/cuda-python-cuda-pathfinder-v1.6.0.tar.gz</guid>
      <pubDate>Fri, 07 Aug 2026 17:47:15 GMT</pubDate>
      <source>https://nvidia.github.io/cuda-python/cuda-pathfinder</source>
    </item>
    <item>
      <title>dlt 1.29.1 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>data load tool (dlt) is an open source Python library that makes data loading easy.</description>
      <link>https://dlthub.com/docs</link>
      <comments>https://github.com/dlt-hub/dlt</comments>
      <pubDate>Fri, 07 Aug 2026 13:58:48 GMT</pubDate>
      <source>https://dlthub.com/docs</source>
    </item>
    <item>
      <title>libgdal-netcdf 3.13.1 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>Raster driver netCDF for the Geospatial Data Abstraction Library (GDAL)</description>
      <link>https://download.osgeo.org/gdal/3.13.1/gdal-3.13.1.tar.xz</link>
      <guid>https://download.osgeo.org/gdal/3.13.1/gdal-3.13.1.tar.xz</guid>
      <pubDate>Fri, 07 Aug 2026 13:41:55 GMT</pubDate>
    </item>
    <item>
      <title>libgdal-kea 3.13.1 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>Raster driver KEA for the Geospatial Data Abstraction Library (GDAL)</description>
      <link>https://download.osgeo.org/gdal/3.13.1/gdal-3.13.1.tar.xz</link>
      <guid>https://download.osgeo.org/gdal/3.13.1/gdal-3.13.1.tar.xz</guid>
      <pubDate>Fri, 07 Aug 2026 13:40:43 GMT</pubDate>
    </item>
    <item>
      <title>libgdal-xls 3.13.1 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>Vector driver XLS for the Geospatial Data Abstraction Library (GDAL)</description>
      <link>https://download.osgeo.org/gdal/3.13.1/gdal-3.13.1.tar.xz</link>
      <guid>https://download.osgeo.org/gdal/3.13.1/gdal-3.13.1.tar.xz</guid>
      <pubDate>Fri, 07 Aug 2026 13:39:33 GMT</pubDate>
    </item>
    <item>
      <title>libgdal-tiledb 3.13.1 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>Raster driver TileDB for the Geospatial Data Abstraction Library (GDAL)</description>
      <link>https://download.osgeo.org/gdal/3.13.1/gdal-3.13.1.tar.xz</link>
      <guid>https://download.osgeo.org/gdal/3.13.1/gdal-3.13.1.tar.xz</guid>
      <pubDate>Fri, 07 Aug 2026 13:38:23 GMT</pubDate>
    </item>
    <item>
      <title>libgdal-postgisraster 3.13.1 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>Raster driver PostGIS for the Geospatial Data Abstraction Library (GDAL)</description>
      <link>https://download.osgeo.org/gdal/3.13.1/gdal-3.13.1.tar.xz</link>
      <guid>https://download.osgeo.org/gdal/3.13.1/gdal-3.13.1.tar.xz</guid>
      <pubDate>Fri, 07 Aug 2026 13:37:05 GMT</pubDate>
    </item>
    <item>
      <title>libgdal-pg 3.13.1 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>Vector driver PG for the Geospatial Data Abstraction Library (GDAL)</description>
      <link>https://download.osgeo.org/gdal/3.13.1/gdal-3.13.1.tar.xz</link>
      <guid>https://download.osgeo.org/gdal/3.13.1/gdal-3.13.1.tar.xz</guid>
      <pubDate>Fri, 07 Aug 2026 13:35:55 GMT</pubDate>
    </item>
    <item>
      <title>libgdal-pdf 3.13.1 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>Raster driver PDF for the Geospatial Data Abstraction Library (GDAL)</description>
      <link>https://download.osgeo.org/gdal/3.13.1/gdal-3.13.1.tar.xz</link>
      <guid>https://download.osgeo.org/gdal/3.13.1/gdal-3.13.1.tar.xz</guid>
      <pubDate>Fri, 07 Aug 2026 13:34:46 GMT</pubDate>
    </item>
    <item>
      <title>libgdal-jp2openjpeg 3.13.1 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>Raster driver JP2OpenJPEG for the Geospatial Data Abstraction Library (GDAL)</description>
      <link>https://download.osgeo.org/gdal/3.13.1/gdal-3.13.1.tar.xz</link>
      <guid>https://download.osgeo.org/gdal/3.13.1/gdal-3.13.1.tar.xz</guid>
      <pubDate>Fri, 07 Aug 2026 13:33:25 GMT</pubDate>
    </item>
    <item>
      <title>libgdal-hdf5 3.13.1 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>Raster driver HDF5 for the Geospatial Data Abstraction Library (GDAL)</description>
      <link>https://download.osgeo.org/gdal/3.13.1/gdal-3.13.1.tar.xz</link>
      <guid>https://download.osgeo.org/gdal/3.13.1/gdal-3.13.1.tar.xz</guid>
      <pubDate>Fri, 07 Aug 2026 13:32:18 GMT</pubDate>
    </item>
    <item>
      <title>libgdal-hdf4 3.13.1 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>Raster driver HDF4 for the Geospatial Data Abstraction Library (GDAL)</description>
      <link>https://download.osgeo.org/gdal/3.13.1/gdal-3.13.1.tar.xz</link>
      <guid>https://download.osgeo.org/gdal/3.13.1/gdal-3.13.1.tar.xz</guid>
      <pubDate>Fri, 07 Aug 2026 13:31:01 GMT</pubDate>
    </item>
    <item>
      <title>libgdal-grib 3.13.1 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>Raster driver GRIB for the Geospatial Data Abstraction Library (GDAL)</description>
      <link>https://download.osgeo.org/gdal/3.13.1/gdal-3.13.1.tar.xz</link>
      <guid>https://download.osgeo.org/gdal/3.13.1/gdal-3.13.1.tar.xz</guid>
      <pubDate>Fri, 07 Aug 2026 13:29:52 GMT</pubDate>
    </item>
    <item>
      <title>libgdal-fits 3.13.1 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>Raster driver FITS for the Geospatial Data Abstraction Library (GDAL)</description>
      <link>https://download.osgeo.org/gdal/3.13.1/gdal-3.13.1.tar.xz</link>
      <guid>https://download.osgeo.org/gdal/3.13.1/gdal-3.13.1.tar.xz</guid>
      <pubDate>Fri, 07 Aug 2026 13:28:29 GMT</pubDate>
    </item>
    <item>
      <title>libgdal-avif 3.13.1 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>Raster driver AVIF for the Geospatial Data Abstraction Library (GDAL)</description>
      <link>https://download.osgeo.org/gdal/3.13.1/gdal-3.13.1.tar.xz</link>
      <guid>https://download.osgeo.org/gdal/3.13.1/gdal-3.13.1.tar.xz</guid>
      <pubDate>Fri, 07 Aug 2026 13:27:21 GMT</pubDate>
    </item>
    <item>
      <title>libgdal-arrow-parquet 3.13.1 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>Arrow and Parquet drivers for the Geospatial Data Abstraction Library (GDAL)</description>
      <link>https://download.osgeo.org/gdal/3.13.1/gdal-3.13.1.tar.xz</link>
      <guid>https://download.osgeo.org/gdal/3.13.1/gdal-3.13.1.tar.xz</guid>
      <pubDate>Fri, 07 Aug 2026 13:26:13 GMT</pubDate>
    </item>
    <item>
      <title>libgdal-core-devel 3.13.1 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>GDAL is a translator library for raster and vector geospatial data formats that is released under an X/MIT style Open Source license by the Open Source Geospatial Foundation.</description>
      <link>https://gdal.org/tutorials/index.html</link>
      <comments>https://github.com/OSGeo/gdal</comments>
      <guid>https://download.osgeo.org/gdal/3.13.1/gdal-3.13.1.tar.xz</guid>
      <pubDate>Fri, 07 Aug 2026 13:22:34 GMT</pubDate>
      <source>https://gdal.org</source>
    </item>
    <item>
      <title>libgdal-core 3.13.1 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>GDAL is a translator library for raster and vector geospatial data formats that is released under an X/MIT style Open Source license by the Open Source Geospatial Foundation.</description>
      <link>https://gdal.org/tutorials/index.html</link>
      <comments>https://github.com/OSGeo/gdal</comments>
      <guid>https://download.osgeo.org/gdal/3.13.1/gdal-3.13.1.tar.xz</guid>
      <pubDate>Fri, 07 Aug 2026 13:22:13 GMT</pubDate>
      <source>https://gdal.org</source>
    </item>
    <item>
      <title>rdflib-with-all 7.6.0 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>RDFLib is a pure Python package for working with RDF. RDFLib contains most things you need to work with RDF, including parsers and serializers for RDF/XML, N3, NTriples, N-Quads, Turtle, TriX, Trig and JSON-LD a Graph interface which can be backed by any one of a number of Store implementations store implementations for in-memory, persistent on disk (Berkeley DB) and remote SPARQL endpoints a SPARQL 1.1 implementation - supporting SPARQL 1.1 Queries and Update statements SPARQL function extension mechanisms</description>
      <link>https://rdflib.readthedocs.io</link>
      <comments>https://github.com/RDFLib/rdflib</comments>
      <guid>https://pypi.org/packages/source/r/rdflib/rdflib-7.6.0.tar.gz</guid>
      <pubDate>Fri, 07 Aug 2026 13:14:39 GMT</pubDate>
      <source>https://github.com/RDFLib/rdflib</source>
    </item>
    <item>
      <title>rdflib-with-orjson 7.6.0 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>RDFLib is a pure Python package for working with RDF. RDFLib contains most things you need to work with RDF, including parsers and serializers for RDF/XML, N3, NTriples, N-Quads, Turtle, TriX, Trig and JSON-LD a Graph interface which can be backed by any one of a number of Store implementations store implementations for in-memory, persistent on disk (Berkeley DB) and remote SPARQL endpoints a SPARQL 1.1 implementation - supporting SPARQL 1.1 Queries and Update statements SPARQL function extension mechanisms</description>
      <link>https://rdflib.readthedocs.io</link>
      <comments>https://github.com/RDFLib/rdflib</comments>
      <guid>https://pypi.org/packages/source/r/rdflib/rdflib-7.6.0.tar.gz</guid>
      <pubDate>Fri, 07 Aug 2026 13:14:33 GMT</pubDate>
      <source>https://github.com/RDFLib/rdflib</source>
    </item>
    <item>
      <title>rdflib-with-networkx 7.6.0 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>RDFLib is a pure Python package for working with RDF. RDFLib contains most things you need to work with RDF, including parsers and serializers for RDF/XML, N3, NTriples, N-Quads, Turtle, TriX, Trig and JSON-LD a Graph interface which can be backed by any one of a number of Store implementations store implementations for in-memory, persistent on disk (Berkeley DB) and remote SPARQL endpoints a SPARQL 1.1 implementation - supporting SPARQL 1.1 Queries and Update statements SPARQL function extension mechanisms</description>
      <link>https://rdflib.readthedocs.io</link>
      <comments>https://github.com/RDFLib/rdflib</comments>
      <guid>https://pypi.org/packages/source/r/rdflib/rdflib-7.6.0.tar.gz</guid>
      <pubDate>Fri, 07 Aug 2026 13:14:27 GMT</pubDate>
      <source>https://github.com/RDFLib/rdflib</source>
    </item>
    <item>
      <title>rdflib-with-lxml 7.6.0 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>RDFLib is a pure Python package for working with RDF. RDFLib contains most things you need to work with RDF, including parsers and serializers for RDF/XML, N3, NTriples, N-Quads, Turtle, TriX, Trig and JSON-LD a Graph interface which can be backed by any one of a number of Store implementations store implementations for in-memory, persistent on disk (Berkeley DB) and remote SPARQL endpoints a SPARQL 1.1 implementation - supporting SPARQL 1.1 Queries and Update statements SPARQL function extension mechanisms</description>
      <link>https://rdflib.readthedocs.io</link>
      <comments>https://github.com/RDFLib/rdflib</comments>
      <guid>https://pypi.org/packages/source/r/rdflib/rdflib-7.6.0.tar.gz</guid>
      <pubDate>Fri, 07 Aug 2026 13:14:21 GMT</pubDate>
      <source>https://github.com/RDFLib/rdflib</source>
    </item>
    <item>
      <title>rdflib 7.6.0 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>RDFLib is a pure Python package for working with RDF. RDFLib contains most things you need to work with RDF, including parsers and serializers for RDF/XML, N3, NTriples, N-Quads, Turtle, TriX, Trig and JSON-LD a Graph interface which can be backed by any one of a number of Store implementations store implementations for in-memory, persistent on disk (Berkeley DB) and remote SPARQL endpoints a SPARQL 1.1 implementation - supporting SPARQL 1.1 Queries and Update statements SPARQL function extension mechanisms</description>
      <link>https://rdflib.readthedocs.io</link>
      <comments>https://github.com/RDFLib/rdflib</comments>
      <guid>https://pypi.org/packages/source/r/rdflib/rdflib-7.6.0.tar.gz</guid>
      <pubDate>Fri, 07 Aug 2026 13:13:41 GMT</pubDate>
      <source>https://github.com/RDFLib/rdflib</source>
    </item>
    <item>
      <title>psycopg-c 3.3.2 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>Psycopg 3 is a modern implementation of a PostgreSQL adapter for Python.</description>
      <link>https://www.psycopg.org/psycopg3/docs</link>
      <comments>https://github.com/psycopg/psycopg/tree/master/psycopg</comments>
      <guid>https://github.com/psycopg/psycopg/archive/refs/tags/3.3.2.tar.gz</guid>
      <pubDate>Fri, 07 Aug 2026 12:51:24 GMT</pubDate>
      <source>https://psycopg.org/psycopg3</source>
    </item>
    <item>
      <title>psycopg 3.3.2 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>Psycopg 3 is a modern implementation of a PostgreSQL adapter for Python.</description>
      <link>https://www.psycopg.org/psycopg3/docs</link>
      <comments>https://github.com/psycopg/psycopg/tree/master/psycopg</comments>
      <guid>https://github.com/psycopg/psycopg/archive/refs/tags/3.3.2.tar.gz</guid>
      <pubDate>Fri, 07 Aug 2026 12:50:36 GMT</pubDate>
      <source>https://psycopg.org/psycopg3</source>
    </item>
    <item>
      <title>psqlodbc 17_00_0007 [linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64]</title>
      <description>A library to talk to the PostgreSQL DBMS using ODBC.</description>
      <link>https://odbc.postgresql.org/</link>
      <comments>https://github.com/postgresql-interfaces/psqlodbc/</comments>
      <guid>https://github.com/postgresql-interfaces/psqlodbc/archive/refs/tags/REL-17_00_0007.tar.gz</guid>
      <pubDate>Fri, 07 Aug 2026 11:31:20 GMT</pubDate>
      <source>https://odbc.postgresql.org/</source>
    </item>
    <item>
      <title>geopy 2.5.0 [linux-64, linux-aarch64, linux-s390x, osx-64, osx-arm64, win-64]</title>
      <description>geopy is a Python client for several popular geocoding web services. geopy makes it easy for Python developers to locate the coordinates of addresses, cities, countries, and landmarks across the globe using third-party geocoders and other data sources. geopy includes geocoder classes for the OpenStreetMap Nominatim, Google Geocoding API (V3), and many other geocoding services. The full list is available on the Geocoders doc section. Geocoder classes are located in geopy.geocoders.</description>
      <link>https://geopy.readthedocs.io</link>
      <comments>https://github.com/geopy/geopy</comments>
      <guid>https://pypi.org/packages/source/g/geopy/geopy-2.5.0.tar.gz</guid>
      <pubDate>Fri, 07 Aug 2026 11:22:44 GMT</pubDate>
      <source>https://github.com/geopy/geopy</source>
    </item>
    <item>
      <title>elastic-transport 9.4.2 [linux-64, linux-aarch64, linux-s390x, osx-64, osx-arm64, win-64]</title>
      <description>Transport classes and utilities shared among Python Elastic client libraries.</description>
      <link>https://github.com/elastic/elastic-transport-python</link>
      <comments>https://github.com/elastic/elastic-transport-python</comments>
      <guid>https://github.com/elastic/elastic-transport-python/archive/refs/tags/v9.4.2.tar.gz</guid>
      <pubDate>Fri, 07 Aug 2026 10:25:30 GMT</pubDate>
      <source>https://github.com/elastic/elastic-transport-python</source>
    </item>
    <item>
      <title>sparse 0.19.0 [linux-64, linux-aarch64, osx-64, osx-arm64, win-64]</title>
      <description>sparse implements sparse multidimensional arrays on top of Numpy and scipy.sparse. It tries to mimic Numpy's ndarray API.</description>
      <link>https://sparse.pydata.org</link>
      <comments>https://github.com/pydata/sparse</comments>
      <guid>https://pypi.org/packages/source/s/sparse/sparse-0.19.0.tar.gz</guid>
      <pubDate>Fri, 07 Aug 2026 09:54:07 GMT</pubDate>
      <source>https://sparse.pydata.org</source>
    </item>
    <item>
      <title>jupyterlab 4.6.2 [linux-32, linux-64, linux-aarch64, linux-ppc64le, noarch, osx-64, osx-arm64, win-32, win-64]</title>
      <description>JupyterLab is the next-generation user interface for Project Jupyter. It offers all the familiar building blocks of the classic Jupyter Notebook (notebook, terminal, text editor, file browser, rich outputs, etc.) in a flexible and powerful user inteface. Eventually, JupyterLab will replace the classic Jupyter Notebook. JupyterLab can be extended using extensions that are npm packages and use our public APIs. You can search for the GitHub topic or npm keyword `jupyterlab-extension` to find extensions. To learn more about extensions, see our user documentation. JupyterLab is suitable for general usage. For JupyterLab extension developers, the extension APIs will continue to evolve.</description>
      <link>https://jupyterlab.readthedocs.io</link>
      <comments>https://github.com/jupyterlab/jupyterlab</comments>
      <guid>https://pypi.org/packages/source/j/jupyterlab/jupyterlab-4.6.2.tar.gz</guid>
      <pubDate>Fri, 07 Aug 2026 09:42:29 GMT</pubDate>
      <source>https://jupyter.org</source>
    </item>
    <item>
      <title>wsproto 1.3.2 [linux-64, linux-aarch64, linux-s390x, osx-64, osx-arm64, win-64]</title>
      <description>This repository contains a pure-Python implementation of a WebSocket protocol stack. It's written from the ground up to be embeddable in whatever program you choose to use, ensuring that you can communicate via WebSockets, as defined in RFC6455, regardless of your programming paradigm.  This repository does not provide a parsing layer, a network layer, or any rules about concurrency. Instead, it's a purely in-memory solution, defined in terms of data actions and WebSocket frames. RFC6455 and Compression Extensions for WebSocket via RFC7692 are fully supported.</description>
      <link>https://wsproto.readthedocs.io</link>
      <comments>https://github.com/python-hyper/wsproto</comments>
      <guid>https://pypi.org/packages/source/w/wsproto/wsproto-1.3.2.tar.gz</guid>
      <pubDate>Fri, 07 Aug 2026 09:36:39 GMT</pubDate>
      <source>https://github.com/python-hyper/wsproto</source>
    </item>
    <item>
      <title>clangdev 22.1.2 [linux-64, linux-aarch64, linux-ppc64le, osx-64, osx-arm64, win-32, win-64, win-arm64]</title>
      <description>Clang is a C, C++, Objective-C, and Objective-C++ compiler which encompasses preprocessing, parsing, optimization, code generation, assembly, and linking. It is modular in design and supports multiple frontends. Clang is part of the LLVM compiler infrastructure project and aims to deliver amazingly fast compiles, extremely useful error and warning messages, and provide a platform for building great source level tools.</description>
      <link>https://llvm.org/docs/</link>
      <comments>https://github.com/llvm/llvm-project</comments>
      <pubDate>Fri, 07 Aug 2026 07:16:17 GMT</pubDate>
      <source>https://llvm.org/</source>
    </item>
    <item>
      <title>python-clang 22.1.2 [linux-64, linux-aarch64, linux-ppc64le, noarch, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>Clang is a C, C++, Objective-C, and Objective-C++ compiler which encompasses preprocessing, parsing, optimization, code generation, assembly, and linking. It is modular in design and supports multiple frontends. Clang is part of the LLVM compiler infrastructure project and aims to deliver amazingly fast compiles, extremely useful error and warning messages, and provide a platform for building great source level tools.</description>
      <link>https://llvm.org/docs/</link>
      <comments>https://github.com/llvm/llvm-project</comments>
      <pubDate>Fri, 07 Aug 2026 07:12:11 GMT</pubDate>
      <source>https://llvm.org/</source>
    </item>
    <item>
      <title>clang-tools 22.1.2 [linux-64, linux-aarch64, linux-ppc64le, osx-64, osx-arm64, win-32, win-64, win-arm64]</title>
      <description>Clang is a C, C++, Objective-C, and Objective-C++ compiler which encompasses preprocessing, parsing, optimization, code generation, assembly, and linking. It is modular in design and supports multiple frontends. Clang is part of the LLVM compiler infrastructure project and aims to deliver amazingly fast compiles, extremely useful error and warning messages, and provide a platform for building great source level tools.</description>
      <link>https://llvm.org/docs/</link>
      <comments>https://github.com/llvm/llvm-project</comments>
      <pubDate>Fri, 07 Aug 2026 07:06:38 GMT</pubDate>
      <source>https://llvm.org/</source>
    </item>
    <item>
      <title>clang-format 22.1.2 [linux-64, linux-aarch64, linux-ppc64le, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>Clang is a C, C++, Objective-C, and Objective-C++ compiler which encompasses preprocessing, parsing, optimization, code generation, assembly, and linking. It is modular in design and supports multiple frontends. Clang is part of the LLVM compiler infrastructure project and aims to deliver amazingly fast compiles, extremely useful error and warning messages, and provide a platform for building great source level tools.</description>
      <link>https://llvm.org/docs/</link>
      <comments>https://github.com/llvm/llvm-project</comments>
      <pubDate>Fri, 07 Aug 2026 07:04:01 GMT</pubDate>
      <source>https://llvm.org/</source>
    </item>
    <item>
      <title>libclang 22.1.2 [linux-64, linux-aarch64, linux-ppc64le, osx-64, osx-arm64, win-32, win-64, win-arm64]</title>
      <description>Clang is a C, C++, Objective-C, and Objective-C++ compiler which encompasses preprocessing, parsing, optimization, code generation, assembly, and linking. It is modular in design and supports multiple frontends. Clang is part of the LLVM compiler infrastructure project and aims to deliver amazingly fast compiles, extremely useful error and warning messages, and provide a platform for building great source level tools.</description>
      <link>https://llvm.org/docs/</link>
      <comments>https://github.com/llvm/llvm-project</comments>
      <pubDate>Fri, 07 Aug 2026 07:02:30 GMT</pubDate>
      <source>https://llvm.org/</source>
    </item>
    <item>
      <title>libclang13 22.1.2 [linux-64, linux-aarch64, linux-ppc64le, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>Clang is a C, C++, Objective-C, and Objective-C++ compiler which encompasses preprocessing, parsing, optimization, code generation, assembly, and linking. It is modular in design and supports multiple frontends. Clang is part of the LLVM compiler infrastructure project and aims to deliver amazingly fast compiles, extremely useful error and warning messages, and provide a platform for building great source level tools.</description>
      <link>https://llvm.org/docs/</link>
      <comments>https://github.com/llvm/llvm-project</comments>
      <pubDate>Fri, 07 Aug 2026 07:00:32 GMT</pubDate>
      <source>https://llvm.org/</source>
    </item>
    <item>
      <title>clangxx 22.1.2 [linux-64, linux-aarch64, linux-ppc64le, osx-64, osx-arm64, win-32, win-64, win-arm64]</title>
      <description>Clang is a C, C++, Objective-C, and Objective-C++ compiler which encompasses preprocessing, parsing, optimization, code generation, assembly, and linking. It is modular in design and supports multiple frontends. Clang is part of the LLVM compiler infrastructure project and aims to deliver amazingly fast compiles, extremely useful error and warning messages, and provide a platform for building great source level tools.</description>
      <link>https://llvm.org/docs/</link>
      <comments>https://github.com/llvm/llvm-project</comments>
      <pubDate>Fri, 07 Aug 2026 06:58:03 GMT</pubDate>
      <source>https://llvm.org/</source>
    </item>
    <item>
      <title>clang 22.1.2 [linux-64, linux-aarch64, linux-ppc64le, osx-64, osx-arm64, win-32, win-64, win-arm64]</title>
      <description>Clang is a C, C++, Objective-C, and Objective-C++ compiler which encompasses preprocessing, parsing, optimization, code generation, assembly, and linking. It is modular in design and supports multiple frontends. Clang is part of the LLVM compiler infrastructure project and aims to deliver amazingly fast compiles, extremely useful error and warning messages, and provide a platform for building great source level tools.</description>
      <link>https://llvm.org/docs/</link>
      <comments>https://github.com/llvm/llvm-project</comments>
      <pubDate>Fri, 07 Aug 2026 06:54:08 GMT</pubDate>
      <source>https://llvm.org/</source>
    </item>
    <item>
      <title>libclang-cpp 22.1.2 [linux-64, linux-aarch64, linux-ppc64le, osx-64, osx-arm64, win-32, win-64, win-arm64]</title>
      <description>Clang is a C, C++, Objective-C, and Objective-C++ compiler which encompasses preprocessing, parsing, optimization, code generation, assembly, and linking. It is modular in design and supports multiple frontends. Clang is part of the LLVM compiler infrastructure project and aims to deliver amazingly fast compiles, extremely useful error and warning messages, and provide a platform for building great source level tools.</description>
      <link>https://llvm.org/docs/</link>
      <comments>https://github.com/llvm/llvm-project</comments>
      <pubDate>Fri, 07 Aug 2026 06:53:02 GMT</pubDate>
      <source>https://llvm.org/</source>
    </item>
    <item>
      <title>clang-22 22.1.2 [linux-64, linux-aarch64, osx-arm64, win-64, win-arm64]</title>
      <description>Clang is a C, C++, Objective-C, and Objective-C++ compiler which encompasses preprocessing, parsing, optimization, code generation, assembly, and linking. It is modular in design and supports multiple frontends. Clang is part of the LLVM compiler infrastructure project and aims to deliver amazingly fast compiles, extremely useful error and warning messages, and provide a platform for building great source level tools.</description>
      <link>https://llvm.org/docs/</link>
      <comments>https://github.com/llvm/llvm-project</comments>
      <pubDate>Fri, 07 Aug 2026 06:50:33 GMT</pubDate>
      <source>https://llvm.org/</source>
    </item>
    <item>
      <title>tf-keras 2.21.0 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>Keras is an API designed for human beings, not machines. Keras follows best practices for reducing cognitive load: it offers consistent &amp; simple APIs, it minimizes the number of user actions required for common use cases, and it provides clear &amp; actionable error messages. Keras also gives the highest priority to crafting great documentation and developer guides.</description>
      <link>https://www.tensorflow.org/api_docs/python/tf/keras</link>
      <comments>https://github.com/keras-team/tf-keras</comments>
      <pubDate>Fri, 07 Aug 2026 06:16:54 GMT</pubDate>
      <source>https://keras.io/</source>
    </item>
    <item>
      <title>llvmdev 22.1.2 [linux-32, linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-32, win-64, win-arm64]</title>
      <description>A toolkit for the construction of highly optimized compilers, optimizers, and run-time environments.</description>
      <link>https://llvm.org/docs/</link>
      <comments>https://github.com/llvm/llvm-project</comments>
      <guid>https://github.com/llvm/llvm-project/archive/refs/tags/llvmorg-22.1.2.tar.gz</guid>
      <pubDate>Fri, 07 Aug 2026 01:58:16 GMT</pubDate>
      <source>https://llvm.org/</source>
    </item>
    <item>
      <title>llvm-tools 22.1.2 [linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-32, win-64, win-arm64]</title>
      <description>A toolkit for the construction of highly optimized compilers, optimizers, and run-time environments.</description>
      <link>https://llvm.org/docs/</link>
      <comments>https://github.com/llvm/llvm-project</comments>
      <guid>https://github.com/llvm/llvm-project/archive/refs/tags/llvmorg-22.1.2.tar.gz</guid>
      <pubDate>Fri, 07 Aug 2026 01:36:21 GMT</pubDate>
      <source>https://llvm.org/</source>
    </item>
    <item>
      <title>libllvm-c22 22.1.2 [win-64, win-arm64]</title>
      <description>A toolkit for the construction of highly optimized compilers, optimizers, and run-time environments.</description>
      <link>https://llvm.org/docs/</link>
      <comments>https://github.com/llvm/llvm-project</comments>
      <guid>https://github.com/llvm/llvm-project/archive/refs/tags/llvmorg-22.1.2.tar.gz</guid>
      <pubDate>Fri, 07 Aug 2026 01:33:24 GMT</pubDate>
      <source>https://llvm.org/</source>
    </item>
    <item>
      <title>lit 22.1.2 [linux-64, linux-aarch64, linux-ppc64le, linux-s390x, noarch, osx-64, osx-arm64, win-64, win-arm64]</title>
      <description>A toolkit for the construction of highly optimized compilers, optimizers, and run-time environments.</description>
      <link>https://llvm.org/docs/</link>
      <comments>https://github.com/llvm/llvm-project</comments>
      <guid>https://github.com/llvm/llvm-project/archive/refs/tags/llvmorg-22.1.2.tar.gz</guid>
      <pubDate>Fri, 07 Aug 2026 01:31:24 GMT</pubDate>
      <source>https://llvm.org/</source>
    </item>
    <item>
      <title>llvm 22.1.2 [linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-32, win-64, win-arm64]</title>
      <description>A toolkit for the construction of highly optimized compilers, optimizers, and run-time environments.</description>
      <link>https://llvm.org/docs/</link>
      <comments>https://github.com/llvm/llvm-project</comments>
      <guid>https://github.com/llvm/llvm-project/archive/refs/tags/llvmorg-22.1.2.tar.gz</guid>
      <pubDate>Fri, 07 Aug 2026 01:31:17 GMT</pubDate>
      <source>https://llvm.org/</source>
    </item>
    <item>
      <title>libllvm22 22.1.2 [linux-64, linux-aarch64, osx-arm64, win-64, win-arm64]</title>
      <description>A toolkit for the construction of highly optimized compilers, optimizers, and run-time environments.</description>
      <link>https://llvm.org/docs/</link>
      <comments>https://github.com/llvm/llvm-project</comments>
      <guid>https://github.com/llvm/llvm-project/archive/refs/tags/llvmorg-22.1.2.tar.gz</guid>
      <pubDate>Fri, 07 Aug 2026 01:29:35 GMT</pubDate>
      <source>https://llvm.org/</source>
    </item>
    <item>
      <title>libarchive 3.8.8 [linux-32, linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-32, win-64, win-arm64]</title>
      <description>Libarchive is an open-source BSD-licensed C programming library that provides streaming access to a variety of different archive formats, including tar, cpio, pax, Zip, and ISO9660 images. The distribution also includes bsdtar and bsdcpio, full-featured implementations of tar and cpio that use libarchive. When reading archives, libarchive uses a robust automatic format detector that can automatically handle archives that have been compressed with gzip, bzip2, xz, lzip, and several other popular compression algorithms.</description>
      <link>https://github.com/libarchive/libarchive/wiki</link>
      <comments>https://github.com/libarchive/libarchive</comments>
      <guid>https://github.com/libarchive/libarchive/archive/refs/tags/v3.8.8.tar.gz</guid>
      <pubDate>Thu, 06 Aug 2026 23:17:00 GMT</pubDate>
      <source>https://libarchive.org</source>
    </item>
    <item>
      <title>7zip 26.02 [win-64, win-arm64]</title>
      <description>7-Zip is a file archiver with a high compression ratio.</description>
      <link>https://www.7-zip.org</link>
      <comments>https://github.com/ip7z/7zip</comments>
      <guid>https://github.com/ip7z/7zip/releases/download/26.02/7z2602-src.7z</guid>
      <pubDate>Thu, 06 Aug 2026 23:09:19 GMT</pubDate>
      <source>https://www.7-zip.org/</source>
    </item>
    <item>
      <title>cvss 3.6 [linux-64, linux-aarch64, osx-arm64, win-64]</title>
      <description>CVSS (Common Vulnerability Scoring System) is an standardized method for rating the severity of security issues on a scale from 0 (no impact) to 10 (critical).</description>
      <link>https://github.com/RedHatProductSecurity/cvss/blob/master/README.rst</link>
      <comments>https://github.com/RedHatProductSecurity/cvss</comments>
      <guid>https://github.com/RedHatProductSecurity/cvss/archive/refs/tags/v3.6.tar.gz</guid>
      <pubDate>Thu, 06 Aug 2026 20:02:54 GMT</pubDate>
      <source>https://github.com/RedHatProductSecurity/cvss</source>
    </item>
    <item>
      <title>nanobind-abi 19 [linux-64, linux-aarch64, noarch, osx-arm64, win-64]</title>
      <description>nanobind is a small binding library that exposes C++ types in Python and vice versa. It is reminiscent of Boost.Python and pybind11 and uses near-identical syntax. In contrast to these existing tools, nanobind is more efficient: bindings compile in a shorter amount of time, producing smaller binaries with better runtime performance.</description>
      <link>https://github.com/wjakob/nanobind/tree/master/docs</link>
      <comments>https://github.com/wjakob/nanobind</comments>
      <guid>https://pypi.io/packages/source/n/nanobind/nanobind-2.5.0.tar.gz</guid>
      <pubDate>Thu, 06 Aug 2026 19:34:06 GMT</pubDate>
      <source>https://github.com/wjakob/nanobind</source>
    </item>
    <item>
      <title>openssl 3.5.7 [linux-32, linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-32, win-64, win-arm64]</title>
      <description>OpenSSL is a robust, commercial-grade, full-featured Open Source Toolkit for the Transport Layer Security (TLS) protocol formerly known as the Secure Sockets Layer (SSL) protocol. The protocol implementation is based on a full-strength general purpose cryptographic library, which can also be used stand-alone.</description>
      <link>https://docs.openssl.org</link>
      <comments>https://github.com/openssl/openssl</comments>
      <guid>https://github.com/openssl/openssl/releases/download/openssl-3.5.7/openssl-3.5.7.tar.gz</guid>
      <pubDate>Thu, 06 Aug 2026 18:16:40 GMT</pubDate>
      <source>https://www.openssl.org</source>
    </item>
    <item>
      <title>xprof 2.23.1 [linux-64, osx-arm64, win-64]</title>
      <description>XProf (formerly the TensorBoard profile plugin) offers a suite of tools for understanding and optimizing the performance of machine learning workloads on CPUs, GPUs and TPUs. It analyzes profiles captured from JAX, TensorFlow and PyTorch/XLA, and can run standalone via the xprof CLI or as a TensorBoard plugin.</description>
      <link>https://openxla.org/xprof</link>
      <comments>https://github.com/openxla/xprof</comments>
      <guid>https://pypi.org/packages/py3/x/xprof/xprof-2.23.1-py3-none-win_amd64.whl</guid>
      <pubDate>Thu, 06 Aug 2026 17:50:57 GMT</pubDate>
      <source>https://github.com/openxla/xprof</source>
    </item>
    <item>
      <title>grpcio-tools 1.82.1 [linux-32, linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-32, win-64]</title>
      <description>gRPC is a modern, open source, high-performance remote procedure call (RPC) framework that can run anywhere. gRPC enables client and server applications to communicate transparently, and simplifies the building of connected systems.  This package contains the gRPC C++ libraries and header files, as well as the code generation plugins.</description>
      <link>https://grpc.io/docs</link>
      <comments>https://github.com/grpc/grpc</comments>
      <guid>https://github.com/grpc/grpc/archive/v1.82.1.tar.gz</guid>
      <pubDate>Thu, 06 Aug 2026 17:48:10 GMT</pubDate>
      <source>https://grpc.io</source>
    </item>
    <item>
      <title>grpcio 1.82.1 [linux-32, linux-64, linux-aarch64, linux-ppc64le, linux-s390x, osx-64, osx-arm64, win-32, win-64]</title>
      <description>gRPC is a modern, open source, high-performance remote procedure call (RPC) framework that can run anywhere. gRPC enables client and server applications to communicate transparently, and simplifies the building of connected systems.  This package contains the gRPC C++ libraries and header files, as well as the code generation plugins.</description>
      <link>https://grpc.io/docs</link>
      <comments>https://github.com/grpc/grpc</comments>
      <guid>https://github.com/grpc/grpc/archive/v1.82.1.tar.gz</guid>
      <pubDate>Thu, 06 Aug 2026 17:47:21 GMT</pubDate>
      <source>https://grpc.io</source>
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