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    <title>PyPI recent updates for evalassist</title>
    <link>https://pypi.org/project/evalassist/</link>
    <description>Recent updates to the Python Package Index for evalassist</description>
    <language>en</language>    <item>
      <title>1.0.5</title>
      <link>https://pypi.org/project/evalassist/1.0.5/</link>
      <description>EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.</description>
<author>martinsantillancooper@gmail.com</author>      <pubDate>Fri, 28 Nov 2025 17:34:09 GMT</pubDate>
    </item>    <item>
      <title>1.0.4</title>
      <link>https://pypi.org/project/evalassist/1.0.4/</link>
      <description>EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.</description>
<author>martinsantillancooper@gmail.com</author>      <pubDate>Thu, 20 Nov 2025 04:01:38 GMT</pubDate>
    </item>    <item>
      <title>1.0.3</title>
      <link>https://pypi.org/project/evalassist/1.0.3/</link>
      <description>EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.</description>
<author>martinsantillancooper@gmail.com</author>      <pubDate>Mon, 17 Nov 2025 21:34:10 GMT</pubDate>
    </item>    <item>
      <title>1.0.2</title>
      <link>https://pypi.org/project/evalassist/1.0.2/</link>
      <description>EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.</description>
<author>martinsantillancooper@gmail.com</author>      <pubDate>Fri, 14 Nov 2025 10:44:30 GMT</pubDate>
    </item>    <item>
      <title>1.0.1</title>
      <link>https://pypi.org/project/evalassist/1.0.1/</link>
      <description>EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.</description>
<author>martinsantillancooper@gmail.com</author>      <pubDate>Wed, 29 Oct 2025 21:41:54 GMT</pubDate>
    </item>    <item>
      <title>1.0.0</title>
      <link>https://pypi.org/project/evalassist/1.0.0/</link>
      <description>EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.</description>
<author>martinsantillancooper@gmail.com</author>      <pubDate>Tue, 28 Oct 2025 13:47:52 GMT</pubDate>
    </item>    <item>
      <title>0.3.2</title>
      <link>https://pypi.org/project/evalassist/0.3.2/</link>
      <description>EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.</description>
<author>martinsantillancooper@gmail.com</author>      <pubDate>Wed, 15 Oct 2025 02:48:55 GMT</pubDate>
    </item>    <item>
      <title>0.3.1</title>
      <link>https://pypi.org/project/evalassist/0.3.1/</link>
      <description>EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.</description>
<author>martinsantillancooper@gmail.com</author>      <pubDate>Tue, 14 Oct 2025 17:41:35 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/evalassist/0.3.0/</link>
      <description>EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.</description>
<author>martinsantillancooper@gmail.com</author>      <pubDate>Thu, 09 Oct 2025 18:15:47 GMT</pubDate>
    </item>    <item>
      <title>0.2.4</title>
      <link>https://pypi.org/project/evalassist/0.2.4/</link>
      <description>EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.</description>
<author>martinsantillancooper@gmail.com</author>      <pubDate>Tue, 30 Sep 2025 23:10:30 GMT</pubDate>
    </item>    <item>
      <title>0.2.3</title>
      <link>https://pypi.org/project/evalassist/0.2.3/</link>
      <description>EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.</description>
<author>martinsantillancooper@gmail.com</author>      <pubDate>Mon, 22 Sep 2025 15:12:48 GMT</pubDate>
    </item>    <item>
      <title>0.2.2</title>
      <link>https://pypi.org/project/evalassist/0.2.2/</link>
      <description>EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.</description>
<author>martinsantillancooper@gmail.com</author>      <pubDate>Mon, 15 Sep 2025 20:05:42 GMT</pubDate>
    </item>    <item>
      <title>0.2.1</title>
      <link>https://pypi.org/project/evalassist/0.2.1/</link>
      <description>EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.</description>
<author>martinsantillancooper@gmail.com</author>      <pubDate>Fri, 12 Sep 2025 14:23:01 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/evalassist/0.2.0/</link>
      <description>EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.</description>
<author>martinsantillancooper@gmail.com</author>      <pubDate>Thu, 11 Sep 2025 18:16:46 GMT</pubDate>
    </item>    <item>
      <title>0.1.31</title>
      <link>https://pypi.org/project/evalassist/0.1.31/</link>
      <description>EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.</description>
<author>martinsantillancooper@gmail.com</author>      <pubDate>Mon, 08 Sep 2025 21:44:50 GMT</pubDate>
    </item>    <item>
      <title>0.1.28</title>
      <link>https://pypi.org/project/evalassist/0.1.28/</link>
      <description>EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.</description>
<author>martinsantillancooper@gmail.com</author>      <pubDate>Mon, 01 Sep 2025 16:11:15 GMT</pubDate>
    </item>    <item>
      <title>0.1.27</title>
      <link>https://pypi.org/project/evalassist/0.1.27/</link>
      <description>EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.</description>
<author>martinsantillancooper@gmail.com</author>      <pubDate>Sun, 31 Aug 2025 23:01:51 GMT</pubDate>
    </item>    <item>
      <title>0.1.26</title>
      <link>https://pypi.org/project/evalassist/0.1.26/</link>
      <description>EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.</description>
<author>martinsantillancooper@gmail.com</author>      <pubDate>Thu, 28 Aug 2025 01:10:47 GMT</pubDate>
    </item>    <item>
      <title>0.1.25</title>
      <link>https://pypi.org/project/evalassist/0.1.25/</link>
      <description>EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.</description>
<author>martinsantillancooper@gmail.com</author>      <pubDate>Wed, 27 Aug 2025 16:19:06 GMT</pubDate>
    </item>    <item>
      <title>0.1.24</title>
      <link>https://pypi.org/project/evalassist/0.1.24/</link>
      <description>EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.</description>
<author>martinsantillancooper@gmail.com</author>      <pubDate>Wed, 20 Aug 2025 21:59:50 GMT</pubDate>
    </item>    <item>
      <title>0.1.23</title>
      <link>https://pypi.org/project/evalassist/0.1.23/</link>
      <description>EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.</description>
<author>martinsantillancooper@gmail.com</author>      <pubDate>Wed, 20 Aug 2025 20:08:52 GMT</pubDate>
    </item>    <item>
      <title>0.1.22</title>
      <link>https://pypi.org/project/evalassist/0.1.22/</link>
      <description>EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.</description>
<author>martinsantillancooper@gmail.com</author>      <pubDate>Thu, 14 Aug 2025 20:52:38 GMT</pubDate>
    </item>    <item>
      <title>0.1.21</title>
      <link>https://pypi.org/project/evalassist/0.1.21/</link>
      <description>EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.</description>
<author>martinsantillancooper@gmail.com</author>      <pubDate>Wed, 13 Aug 2025 23:31:00 GMT</pubDate>
    </item>    <item>
      <title>0.1.20</title>
      <link>https://pypi.org/project/evalassist/0.1.20/</link>
      <description>EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.</description>
<author>martinsantillancooper@gmail.com</author>      <pubDate>Fri, 25 Jul 2025 16:44:12 GMT</pubDate>
    </item>    <item>
      <title>0.1.19</title>
      <link>https://pypi.org/project/evalassist/0.1.19/</link>
      <description>EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.</description>
<author>martinsantillancooper@gmail.com</author>      <pubDate>Tue, 22 Jul 2025 16:20:28 GMT</pubDate>
    </item>    <item>
      <title>0.1.18</title>
      <link>https://pypi.org/project/evalassist/0.1.18/</link>
      <description>EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.</description>
<author>martinsantillancooper@gmail.com</author>      <pubDate>Tue, 22 Jul 2025 15:09:57 GMT</pubDate>
    </item>    <item>
      <title>0.1.17</title>
      <link>https://pypi.org/project/evalassist/0.1.17/</link>
      <description>EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.</description>
<author>martinsantillancooper@gmail.com</author>      <pubDate>Fri, 18 Jul 2025 19:41:55 GMT</pubDate>
    </item>    <item>
      <title>0.1.16</title>
      <link>https://pypi.org/project/evalassist/0.1.16/</link>
      <description>EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.</description>
<author>martinsantillancooper@gmail.com</author>      <pubDate>Tue, 01 Jul 2025 16:39:41 GMT</pubDate>
    </item>    <item>
      <title>0.1.14</title>
      <link>https://pypi.org/project/evalassist/0.1.14/</link>
      <description>EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.</description>
<author>martinsantillancooper@gmail.com</author>      <pubDate>Tue, 01 Jul 2025 15:06:58 GMT</pubDate>
    </item>    <item>
      <title>0.1.13</title>
      <link>https://pypi.org/project/evalassist/0.1.13/</link>
      <description>EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.</description>
<author>martinsantillancooper@gmail.com</author>      <pubDate>Mon, 30 Jun 2025 22:33:12 GMT</pubDate>
    </item>    <item>
      <title>0.1.12</title>
      <link>https://pypi.org/project/evalassist/0.1.12/</link>
      <description>EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.</description>
<author>martinsantillancooper@gmail.com</author>      <pubDate>Tue, 24 Jun 2025 01:31:00 GMT</pubDate>
    </item>    <item>
      <title>0.1.11</title>
      <link>https://pypi.org/project/evalassist/0.1.11/</link>
      <description>EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.</description>
<author>martinsantillancooper@gmail.com</author>      <pubDate>Sat, 21 Jun 2025 01:48:08 GMT</pubDate>
    </item>    <item>
      <title>0.1.10</title>
      <link>https://pypi.org/project/evalassist/0.1.10/</link>
      <description>EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.</description>
<author>martinsantillancooper@gmail.com</author>      <pubDate>Sat, 21 Jun 2025 01:16:16 GMT</pubDate>
    </item>    <item>
      <title>0.1.9</title>
      <link>https://pypi.org/project/evalassist/0.1.9/</link>
      <description>EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.</description>
<author>martinsantillancooper@gmail.com</author>      <pubDate>Sat, 21 Jun 2025 00:15:20 GMT</pubDate>
    </item>    <item>
      <title>0.1.8</title>
      <link>https://pypi.org/project/evalassist/0.1.8/</link>
      <description>EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.</description>
<author>martinsantillancooper@gmail.com</author>      <pubDate>Mon, 16 Jun 2025 02:52:32 GMT</pubDate>
    </item>    <item>
      <title>0.1.7</title>
      <link>https://pypi.org/project/evalassist/0.1.7/</link>
      <description>EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.</description>
<author>martinsantillancooper@gmail.com</author>      <pubDate>Sun, 15 Jun 2025 00:33:06 GMT</pubDate>
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