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    <title>PyPI recent updates for icx</title>
    <link>https://pypi.org/project/icx/</link>
    <description>Recent updates to the Python Package Index for icx</description>
    <language>en</language>    <item>
      <title>1.0.2</title>
      <link>https://pypi.org/project/icx/1.0.2/</link>
      <description>This package provides the functionality for an interactive Streamlit dashboard designed to support stakeholders in exploring individual fairness notions within algorithmic decision-making systems. </description>
<author>madeleine.waller@kcl.ac.uk</author>      <pubDate>Sat, 20 Dec 2025 18:22:09 GMT</pubDate>
    </item>    <item>
      <title>1.0.1</title>
      <link>https://pypi.org/project/icx/1.0.1/</link>
      <description>This package provides the functionality for an interactive Streamlit dashboard designed to support stakeholders in exploring individual fairness notions within algorithmic decision-making systems. </description>
<author>madeleine.waller@kcl.ac.uk</author>      <pubDate>Sat, 20 Dec 2025 17:58:53 GMT</pubDate>
    </item>    <item>
      <title>1.0.0</title>
      <link>https://pypi.org/project/icx/1.0.0/</link>
      <description>This package provides the functionality for an interactive Streamlit dashboard designed to support stakeholders in exploring individual fairness notions within algorithmic decision-making systems. </description>
<author>madeleine.waller@kcl.ac.uk</author>      <pubDate>Sat, 20 Dec 2025 17:52:08 GMT</pubDate>
    </item>    <item>
      <title>0.0.5</title>
      <link>https://pypi.org/project/icx/0.0.5/</link>
      <description>This package provides the functionality for an interactive Streamlit dashboard designed to support stakeholders in exploring individual fairness notions within algorithmic decision-making systems. </description>
<author>madeleine.waller@kcl.ac.uk</author>      <pubDate>Wed, 04 Jun 2025 10:47:17 GMT</pubDate>
    </item>    <item>
      <title>0.0.4</title>
      <link>https://pypi.org/project/icx/0.0.4/</link>
      <description>This package provides the functionality for an interactive Streamlit dashboard designed to support stakeholders in exploring individual fairness notions within algorithmic decision-making systems. </description>
<author>madeleine.waller@kcl.ac.uk</author>      <pubDate>Wed, 04 Jun 2025 09:48:56 GMT</pubDate>
    </item>    <item>
      <title>0.0.3</title>
      <link>https://pypi.org/project/icx/0.0.3/</link>
      <description>This package provides the functionality for an interactive Streamlit dashboard designed to support stakeholders in exploring individual fairness notions within algorithmic decision-making systems. </description>
<author>madeleine.waller@kcl.ac.uk</author>      <pubDate>Wed, 04 Jun 2025 09:48:53 GMT</pubDate>
    </item>    <item>
      <title>0.0.2</title>
      <link>https://pypi.org/project/icx/0.0.2/</link>
      <description>This package provides the functionality for an interactive Streamlit dashboard designed to support stakeholders in exploring individual fairness notions within algorithmic decision-making systems. </description>
<author>madeleine.waller@kcl.ac.uk</author>      <pubDate>Sun, 01 Jun 2025 14:24:02 GMT</pubDate>
    </item>    <item>
      <title>0.0.1</title>
      <link>https://pypi.org/project/icx/0.0.1/</link>
      <description>Individual Consistency eXplorer is a Python package that launches an interactive Streamlit dashboard for exploring the individual fairness for individual classifications.</description>
<author>madeleine.waller@kcl.ac.uk</author>      <pubDate>Sun, 01 Jun 2025 13:57:12 GMT</pubDate>
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