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    <title>PyPI recent updates for safedata-guard</title>
    <link>https://pypi.org/project/safedata-guard/</link>
    <description>Recent updates to the Python Package Index for safedata-guard</description>
    <language>en</language>    <item>
      <title>1.0.8</title>
      <link>https://pypi.org/project/safedata-guard/1.0.8/</link>
      <description>A lightweight framework for safely enabling LLMs to analyze pandas/Polars data without exposing raw data or blindly executing generated code.</description>
      <pubDate>Sat, 13 Jun 2026 11:48:11 GMT</pubDate>
    </item>    <item>
      <title>1.0.7</title>
      <link>https://pypi.org/project/safedata-guard/1.0.7/</link>
      <description>A lightweight framework for safely enabling LLMs to analyze pandas/Polars data without exposing raw data or blindly executing generated code.</description>
      <pubDate>Thu, 11 Jun 2026 20:49:32 GMT</pubDate>
    </item>    <item>
      <title>1.0.6</title>
      <link>https://pypi.org/project/safedata-guard/1.0.6/</link>
      <description>A lightweight framework for safely enabling LLMs to analyze pandas/Polars data without exposing raw data or blindly executing generated code.</description>
      <pubDate>Thu, 11 Jun 2026 14:57:07 GMT</pubDate>
    </item>    <item>
      <title>1.0.5</title>
      <link>https://pypi.org/project/safedata-guard/1.0.5/</link>
      <description>A lightweight framework for safely enabling LLMs to analyze pandas/Polars data without exposing raw data or blindly executing generated code.</description>
      <pubDate>Thu, 11 Jun 2026 08:53:48 GMT</pubDate>
    </item>    <item>
      <title>1.0.4</title>
      <link>https://pypi.org/project/safedata-guard/1.0.4/</link>
      <description>A lightweight framework for safely enabling LLMs to analyze pandas/Polars data without exposing raw data or blindly executing generated code.</description>
      <pubDate>Thu, 11 Jun 2026 08:33:06 GMT</pubDate>
    </item>    <item>
      <title>1.0.3</title>
      <link>https://pypi.org/project/safedata-guard/1.0.3/</link>
      <description>A lightweight framework for safely enabling LLMs to analyze pandas/Polars data without exposing raw data or blindly executing generated code.</description>
      <pubDate>Thu, 11 Jun 2026 08:12:44 GMT</pubDate>
    </item>    <item>
      <title>1.0.2</title>
      <link>https://pypi.org/project/safedata-guard/1.0.2/</link>
      <description>A lightweight framework for safely enabling LLMs to analyze pandas/Polars data without exposing raw data or blindly executing generated code.</description>
      <pubDate>Thu, 11 Jun 2026 07:41:09 GMT</pubDate>
    </item>    <item>
      <title>1.0.1</title>
      <link>https://pypi.org/project/safedata-guard/1.0.1/</link>
      <description>A lightweight framework for safely enabling LLMs to analyze pandas/Polars data without exposing raw data or blindly executing generated code.</description>
      <pubDate>Wed, 10 Jun 2026 17:13:38 GMT</pubDate>
    </item>    <item>
      <title>1.0.0</title>
      <link>https://pypi.org/project/safedata-guard/1.0.0/</link>
      <description>A data-quality checker and guardrail layer between an AI and your data. It summarises data with quality warnings and runs AI-written code with guardrails (defense in depth, not a security sandbox).</description>
      <pubDate>Wed, 10 Jun 2026 13:14:04 GMT</pubDate>
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