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    <title>PyPI recent updates for tensorstudio</title>
    <link>https://pypi.org/project/tensorstudio/</link>
    <description>Recent updates to the Python Package Index for tensorstudio</description>
    <language>en</language>    <item>
      <title>2.1.0</title>
      <link>https://pypi.org/project/tensorstudio/2.1.0/</link>
      <description>TensorStudio is a compact C++ tensor and autograd engine with a Python API for learning, experimentation, and lightweight ML workloads.</description>
      <pubDate>Thu, 09 Jul 2026 15:04:20 GMT</pubDate>
    </item>    <item>
      <title>2.0.0</title>
      <link>https://pypi.org/project/tensorstudio/2.0.0/</link>
      <description>TensorStudio is a compact C++ tensor and autograd engine with a Python API for learning, experimentation, and lightweight ML workloads.</description>
      <pubDate>Wed, 08 Jul 2026 12:44:54 GMT</pubDate>
    </item>    <item>
      <title>1.16.0</title>
      <link>https://pypi.org/project/tensorstudio/1.16.0/</link>
      <description>TensorStudio is a compact C++ tensor and autograd engine with a Python API for learning, experimentation, and lightweight ML workloads.</description>
      <pubDate>Wed, 08 Jul 2026 01:03:59 GMT</pubDate>
    </item>    <item>
      <title>1.15.0</title>
      <link>https://pypi.org/project/tensorstudio/1.15.0/</link>
      <description>TensorStudio is a compact C++ tensor and autograd engine with a Python API for learning, experimentation, and lightweight ML workloads.</description>
      <pubDate>Wed, 08 Jul 2026 00:13:30 GMT</pubDate>
    </item>    <item>
      <title>1.14.0</title>
      <link>https://pypi.org/project/tensorstudio/1.14.0/</link>
      <description>TensorStudio is a compact C++ tensor and autograd engine with a Python API for learning, experimentation, and lightweight ML workloads.</description>
      <pubDate>Tue, 07 Jul 2026 23:51:12 GMT</pubDate>
    </item>    <item>
      <title>1.13.0</title>
      <link>https://pypi.org/project/tensorstudio/1.13.0/</link>
      <description>TensorStudio is a compact C++ tensor and autograd engine with a Python API for learning, experimentation, and lightweight ML workloads.</description>
      <pubDate>Tue, 07 Jul 2026 23:28:38 GMT</pubDate>
    </item>    <item>
      <title>1.12.0</title>
      <link>https://pypi.org/project/tensorstudio/1.12.0/</link>
      <description>TensorStudio is a compact C++ tensor and autograd engine with a Python API for learning, experimentation, and lightweight ML workloads.</description>
      <pubDate>Tue, 07 Jul 2026 23:10:33 GMT</pubDate>
    </item>    <item>
      <title>1.11.0</title>
      <link>https://pypi.org/project/tensorstudio/1.11.0/</link>
      <description>TensorStudio is a compact C++ tensor and autograd engine with a Python API for learning, experimentation, and lightweight ML workloads.</description>
      <pubDate>Tue, 07 Jul 2026 22:49:48 GMT</pubDate>
    </item>    <item>
      <title>1.10.0</title>
      <link>https://pypi.org/project/tensorstudio/1.10.0/</link>
      <description>TensorStudio is a compact C++ tensor and autograd engine with a Python API for learning, experimentation, and lightweight ML workloads.</description>
      <pubDate>Tue, 07 Jul 2026 22:26:58 GMT</pubDate>
    </item>    <item>
      <title>1.9.0</title>
      <link>https://pypi.org/project/tensorstudio/1.9.0/</link>
      <description>TensorStudio is a compact C++ tensor and autograd engine with a Python API for learning, experimentation, and lightweight ML workloads.</description>
      <pubDate>Tue, 07 Jul 2026 22:02:56 GMT</pubDate>
    </item>    <item>
      <title>1.8.0</title>
      <link>https://pypi.org/project/tensorstudio/1.8.0/</link>
      <description>TensorStudio is a compact C++ tensor and autograd engine with a Python API for learning, experimentation, and lightweight ML workloads.</description>
      <pubDate>Tue, 07 Jul 2026 21:34:27 GMT</pubDate>
    </item>    <item>
      <title>1.7.0</title>
      <link>https://pypi.org/project/tensorstudio/1.7.0/</link>
      <description>TensorStudio is a compact C++ tensor and autograd engine with a Python API for learning, experimentation, and lightweight ML workloads.</description>
      <pubDate>Tue, 07 Jul 2026 21:08:39 GMT</pubDate>
    </item>    <item>
      <title>1.6.0</title>
      <link>https://pypi.org/project/tensorstudio/1.6.0/</link>
      <description>TensorStudio is a compact C++ tensor and autograd engine with a Python API for learning, experimentation, and lightweight ML workloads.</description>
      <pubDate>Tue, 07 Jul 2026 20:21:08 GMT</pubDate>
    </item>    <item>
      <title>1.5.1</title>
      <link>https://pypi.org/project/tensorstudio/1.5.1/</link>
      <description>TensorStudio is a compact C++ tensor and autograd engine with a Python API for learning, experimentation, and lightweight ML workloads.</description>
      <pubDate>Tue, 07 Jul 2026 19:44:51 GMT</pubDate>
    </item>    <item>
      <title>1.5.0</title>
      <link>https://pypi.org/project/tensorstudio/1.5.0/</link>
      <description>TensorStudio is a compact C++ tensor and autograd engine with a Python API for learning, experimentation, and lightweight ML workloads.</description>
      <pubDate>Tue, 07 Jul 2026 19:15:19 GMT</pubDate>
    </item>    <item>
      <title>1.4.0</title>
      <link>https://pypi.org/project/tensorstudio/1.4.0/</link>
      <description>TensorStudio is a compact C++ tensor and autograd engine with a Python API for learning, experimentation, and lightweight ML workloads.</description>
      <pubDate>Tue, 07 Jul 2026 17:57:12 GMT</pubDate>
    </item>    <item>
      <title>1.3.6</title>
      <link>https://pypi.org/project/tensorstudio/1.3.6/</link>
      <description>TensorStudio is a compact C++ tensor and autograd engine with a Python API for learning, experimentation, and lightweight ML workloads.</description>
      <pubDate>Tue, 07 Jul 2026 16:55:08 GMT</pubDate>
    </item>    <item>
      <title>1.3.5</title>
      <link>https://pypi.org/project/tensorstudio/1.3.5/</link>
      <description>TensorStudio is a compact C++ tensor and autograd engine with a Python API for learning, experimentation, and lightweight ML workloads.</description>
      <pubDate>Tue, 07 Jul 2026 16:17:04 GMT</pubDate>
    </item>    <item>
      <title>1.3.4</title>
      <link>https://pypi.org/project/tensorstudio/1.3.4/</link>
      <description>TensorStudio is a compact C++ tensor and autograd engine with a Python API for learning, experimentation, and lightweight ML workloads.</description>
      <pubDate>Tue, 07 Jul 2026 15:49:13 GMT</pubDate>
    </item>    <item>
      <title>1.3.3</title>
      <link>https://pypi.org/project/tensorstudio/1.3.3/</link>
      <description>TensorStudio is a compact C++ tensor and autograd engine with a Python API for learning, experimentation, and lightweight ML workloads.</description>
      <pubDate>Tue, 07 Jul 2026 15:17:47 GMT</pubDate>
    </item>    <item>
      <title>1.3.2</title>
      <link>https://pypi.org/project/tensorstudio/1.3.2/</link>
      <description>TensorStudio is a compact C++ tensor and autograd engine with a Python API for learning, experimentation, and lightweight ML workloads.</description>
      <pubDate>Tue, 07 Jul 2026 14:54:09 GMT</pubDate>
    </item>    <item>
      <title>1.3.1</title>
      <link>https://pypi.org/project/tensorstudio/1.3.1/</link>
      <description>TensorStudio is a compact C++ tensor and autograd engine with a Python API for learning, experimentation, and lightweight ML workloads.</description>
      <pubDate>Tue, 07 Jul 2026 14:27:02 GMT</pubDate>
    </item>    <item>
      <title>1.2.0</title>
      <link>https://pypi.org/project/tensorstudio/1.2.0/</link>
      <description>TensorStudio is a compact C++ tensor and autograd engine with a Python API for learning, experimentation, and lightweight ML workloads.</description>
      <pubDate>Tue, 07 Jul 2026 13:17:41 GMT</pubDate>
    </item>    <item>
      <title>1.1.0</title>
      <link>https://pypi.org/project/tensorstudio/1.1.0/</link>
      <description>TensorStudio is a compact C++ tensor and autograd engine with a Python API for learning, experimentation, and lightweight ML workloads.</description>
      <pubDate>Tue, 07 Jul 2026 12:56:01 GMT</pubDate>
    </item>    <item>
      <title>1.0.1</title>
      <link>https://pypi.org/project/tensorstudio/1.0.1/</link>
      <description>TensorStudio is a compact C++ tensor and autograd engine with a Python API for learning, experimentation, and lightweight ML workloads.</description>
      <pubDate>Tue, 07 Jul 2026 02:00:59 GMT</pubDate>
    </item>    <item>
      <title>1.0.0</title>
      <link>https://pypi.org/project/tensorstudio/1.0.0/</link>
      <description>TensorStudio is a compact C++ tensor and autograd engine with a Python API for learning, experimentation, and lightweight ML workloads.</description>
      <pubDate>Tue, 07 Jul 2026 00:59:27 GMT</pubDate>
    </item>    <item>
      <title>1.0.0rc2</title>
      <link>https://pypi.org/project/tensorstudio/1.0.0rc2/</link>
      <description>TensorStudio is a compact C++ tensor and autograd engine with a Python API for learning, experimentation, and lightweight ML workloads.</description>
      <pubDate>Tue, 07 Jul 2026 00:07:01 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/tensorstudio/0.1.1/</link>
      <description>TensorStudio is a compact C++ tensor and autograd engine with a Python API for learning, experimentation, and lightweight ML workloads.</description>
      <pubDate>Mon, 06 Jul 2026 18:16:27 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/tensorstudio/0.1.0/</link>
      <description>TensorStudio is a compact C++ tensor and autograd engine with a Python API for learning, experimentation, and lightweight ML workloads.</description>
      <pubDate>Mon, 06 Jul 2026 17:42:57 GMT</pubDate>
    </item>    <item>
      <title>0.0.1a0</title>
      <link>https://pypi.org/project/tensorstudio/0.0.1a0/</link>
      <description>Early-stage tensor and model toolkit for AI, ML, and LLM workflows.</description>
      <pubDate>Mon, 06 Jul 2026 17:09:05 GMT</pubDate>
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