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    <title>PyPI recent updates for equiboots</title>
    <link>https://pypi.org/project/equiboots/</link>
    <description>Recent updates to the Python Package Index for equiboots</description>
    <language>en</language>    <item>
      <title>0.0.1a14</title>
      <link>https://pypi.org/project/equiboots/0.0.1a14/</link>
      <description>A Python library for fairness-aware model evaluation, bias auditing, and performance visualization, supporting classification and regression models with robust analytics across demographic groups.</description>
<author>pp89@ucla.edu</author>      <pubDate>Fri, 21 Aug 2026 03:15:04 GMT</pubDate>
    </item>    <item>
      <title>0.0.1a13</title>
      <link>https://pypi.org/project/equiboots/0.0.1a13/</link>
      <description>A Python library for fairness-aware model evaluation, bias auditing, and performance visualization, supporting classification and regression models with robust analytics across demographic groups.</description>
<author>pp89@ucla.edu</author>      <pubDate>Fri, 29 May 2026 21:13:21 GMT</pubDate>
    </item>    <item>
      <title>0.0.1a12</title>
      <link>https://pypi.org/project/equiboots/0.0.1a12/</link>
      <description>A Python library for fairness-aware model evaluation, bias auditing, and performance visualization, supporting classification and regression models with robust analytics across demographic groups.</description>
<author>pp89@ucla.edu</author>      <pubDate>Fri, 29 May 2026 17:50:17 GMT</pubDate>
    </item>    <item>
      <title>0.0.1a11</title>
      <link>https://pypi.org/project/equiboots/0.0.1a11/</link>
      <description>A Python library for fairness-aware model evaluation, bias auditing, and performance visualization, supporting classification and regression models with robust analytics across demographic groups.</description>
<author>pp89@ucla.edu</author>      <pubDate>Tue, 16 Dec 2025 03:37:47 GMT</pubDate>
    </item>    <item>
      <title>0.0.1a10</title>
      <link>https://pypi.org/project/equiboots/0.0.1a10/</link>
      <description>A Python library for fairness-aware model evaluation, bias auditing, and performance visualization, supporting classification and regression models with robust analytics across demographic groups.</description>
<author>pp89@ucla.edu</author>      <pubDate>Mon, 03 Nov 2025 20:59:40 GMT</pubDate>
    </item>    <item>
      <title>0.0.1a9</title>
      <link>https://pypi.org/project/equiboots/0.0.1a9/</link>
      <description>A Python library for fairness-aware model evaluation, bias auditing, and performance visualization, supporting classification and regression models with robust analytics across demographic groups.</description>
<author>pp89@ucla.edu</author>      <pubDate>Thu, 30 Oct 2025 01:08:27 GMT</pubDate>
    </item>    <item>
      <title>0.0.1a8</title>
      <link>https://pypi.org/project/equiboots/0.0.1a8/</link>
      <description>A Python library for fairness-aware model evaluation, bias auditing, and performance visualization, supporting classification and regression models with robust analytics across demographic groups.</description>
<author>pp89@ucla.edu</author>      <pubDate>Fri, 17 Oct 2025 22:45:49 GMT</pubDate>
    </item>    <item>
      <title>0.0.1a7</title>
      <link>https://pypi.org/project/equiboots/0.0.1a7/</link>
      <description>A Python library for fairness-aware model evaluation, bias auditing, and performance visualization, supporting classification and regression models with robust analytics across demographic groups.</description>
<author>pp89@ucla.edu</author>      <pubDate>Thu, 16 Oct 2025 23:19:15 GMT</pubDate>
    </item>    <item>
      <title>0.0.1a6</title>
      <link>https://pypi.org/project/equiboots/0.0.1a6/</link>
      <description>A Python library for fairness-aware model evaluation, bias auditing, and performance visualization, supporting classification and regression models with robust analytics across demographic groups.</description>
<author>pp89@ucla.edu</author>      <pubDate>Tue, 14 Oct 2025 22:25:46 GMT</pubDate>
    </item>    <item>
      <title>0.0.1a5</title>
      <link>https://pypi.org/project/equiboots/0.0.1a5/</link>
      <description>A Python library for fairness-aware model evaluation, bias auditing, and performance visualization, supporting classification and regression models with robust analytics across demographic groups.</description>
<author>pp89@ucla.edu</author>      <pubDate>Mon, 13 Oct 2025 23:24:16 GMT</pubDate>
    </item>    <item>
      <title>0.0.1a4</title>
      <link>https://pypi.org/project/equiboots/0.0.1a4/</link>
      <description>A Python library for fairness-aware model evaluation, bias auditing, and performance visualization, supporting classification and regression models with robust analytics across demographic groups.</description>
<author>pp89@ucla.edu</author>      <pubDate>Mon, 13 Oct 2025 22:13:17 GMT</pubDate>
    </item>    <item>
      <title>0.0.1a3</title>
      <link>https://pypi.org/project/equiboots/0.0.1a3/</link>
      <description>A Python library for fairness-aware model evaluation, bias auditing, and performance visualization, supporting classification and regression models with robust analytics across demographic groups.</description>
<author>pp89@ucla.edu</author>      <pubDate>Wed, 24 Sep 2025 20:04:20 GMT</pubDate>
    </item>    <item>
      <title>0.0.1a2</title>
      <link>https://pypi.org/project/equiboots/0.0.1a2/</link>
      <description>A Python library for fairness-aware model evaluation, bias auditing, and performance visualization, supporting classification and regression models with robust analytics across demographic groups.</description>
<author>pp89@ucla.edu</author>      <pubDate>Fri, 19 Sep 2025 23:37:10 GMT</pubDate>
    </item>    <item>
      <title>0.0.1a1</title>
      <link>https://pypi.org/project/equiboots/0.0.1a1/</link>
      <description>A Python library for fairness-aware model evaluation, bias auditing, and performance visualization, supporting classification and regression models with robust analytics across demographic groups.</description>
<author>pp89@ucla.edu</author>      <pubDate>Sat, 16 Aug 2025 02:34:51 GMT</pubDate>
    </item>    <item>
      <title>0.0.1a0</title>
      <link>https://pypi.org/project/equiboots/0.0.1a0/</link>
      <description>A Python library for fairness-aware model evaluation, bias auditing, and performance visualization, supporting classification and regression models with robust analytics across demographic groups.</description>
<author>pp89@ucla.edu</author>      <pubDate>Thu, 14 Aug 2025 21:19:06 GMT</pubDate>
    </item>    <item>
      <title>0.0.0a10</title>
      <link>https://pypi.org/project/equiboots/0.0.0a10/</link>
      <description>A Python library for fairness-aware model evaluation, bias auditing, and performance visualization, supporting classification and regression models with robust analytics across demographic groups.</description>
<author>pp89@ucla.edu</author>      <pubDate>Thu, 10 Jul 2025 23:57:21 GMT</pubDate>
    </item>    <item>
      <title>0.0.0a9</title>
      <link>https://pypi.org/project/equiboots/0.0.0a9/</link>
      <description>A Python library for fairness-aware model evaluation, bias auditing, and performance visualization, supporting classification and regression models with robust analytics across demographic groups.</description>
<author>pp89@ucla.edu</author>      <pubDate>Thu, 12 Jun 2025 21:36:19 GMT</pubDate>
    </item>    <item>
      <title>0.0.0a8</title>
      <link>https://pypi.org/project/equiboots/0.0.0a8/</link>
      <description>A Python library for fairness-aware model evaluation, bias auditing, and performance visualization, supporting classification and regression models with robust analytics across demographic groups.</description>
<author>pp89@ucla.edu</author>      <pubDate>Wed, 11 Jun 2025 19:32:52 GMT</pubDate>
    </item>    <item>
      <title>0.0.0a7</title>
      <link>https://pypi.org/project/equiboots/0.0.0a7/</link>
      <description>A Python library for fairness-aware model evaluation, bias auditing, and performance visualization, supporting classification and regression models with robust analytics across demographic groups.</description>
<author>pp89@ucla.edu</author>      <pubDate>Tue, 10 Jun 2025 14:37:47 GMT</pubDate>
    </item>    <item>
      <title>0.0.0a6</title>
      <link>https://pypi.org/project/equiboots/0.0.0a6/</link>
      <description>A Python library for fairness-aware model evaluation, bias auditing, and performance visualization, supporting classification and regression models with robust analytics across demographic groups.</description>
<author>pp89@ucla.edu</author>      <pubDate>Fri, 23 May 2025 01:51:33 GMT</pubDate>
    </item>    <item>
      <title>0.0.0a5</title>
      <link>https://pypi.org/project/equiboots/0.0.0a5/</link>
      <description>A Python library for fairness-aware model evaluation, bias auditing, and performance visualization, supporting classification and regression models with robust analytics across demographic groups.</description>
<author>pp89@ucla.edu</author>      <pubDate>Thu, 22 May 2025 23:12:23 GMT</pubDate>
    </item>    <item>
      <title>0.0.0a4</title>
      <link>https://pypi.org/project/equiboots/0.0.0a4/</link>
      <description>A Python library for fairness-aware model evaluation, bias auditing, and performance visualization, supporting classification and regression models with robust analytics across demographic groups.</description>
<author>pp89@ucla.edu</author>      <pubDate>Thu, 22 May 2025 22:48:58 GMT</pubDate>
    </item>    <item>
      <title>0.0.0a3</title>
      <link>https://pypi.org/project/equiboots/0.0.0a3/</link>
      <description>A Python library for fairness-aware model evaluation, bias auditing, and performance visualization, supporting classification and regression models with robust analytics across demographic groups.</description>
<author>pp89@ucla.edu</author>      <pubDate>Tue, 01 Apr 2025 22:23:03 GMT</pubDate>
    </item>    <item>
      <title>0.0.0a2</title>
      <link>https://pypi.org/project/equiboots/0.0.0a2/</link>
      <description>A Python library for fairness-aware model evaluation, bias auditing, and performance visualization, supporting classification and regression models with robust analytics across demographic groups.</description>
<author>pp89@ucla.edu</author>      <pubDate>Wed, 26 Mar 2025 15:58:49 GMT</pubDate>
    </item>    <item>
      <title>0.0.0a1</title>
      <link>https://pypi.org/project/equiboots/0.0.0a1/</link>
      <description>A Python library for fairness-aware model evaluation, bias auditing, and performance visualization, supporting classification and regression models with robust analytics across demographic groups.</description>
<author>pp89@ucla.edu</author>      <pubDate>Wed, 26 Mar 2025 05:21:11 GMT</pubDate>
    </item>    <item>
      <title>0.0.0a0</title>
      <link>https://pypi.org/project/equiboots/0.0.0a0/</link>
      <description>A Python library for fairness-aware model evaluation, bias auditing, and performance visualization, supporting classification and regression models with robust analytics across demographic groups.</description>
<author>pp89@ucla.edu</author>      <pubDate>Wed, 26 Mar 2025 02:15:24 GMT</pubDate>
    </item>  </channel>
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