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    <title>PyPI recent updates for tadmetric</title>
    <link>https://pypi.org/project/tadmetric/</link>
    <description>Recent updates to the Python Package Index for tadmetric</description>
    <language>en</language>    <item>
      <title>0.2.2</title>
      <link>https://pypi.org/project/tadmetric/0.2.2/</link>
      <description>A lightweight evaluation toolkit for time-series anomaly detection</description>
<author>yooshin0303@dgist.ac.kr</author>      <pubDate>Wed, 18 Mar 2026 07:32:44 GMT</pubDate>
    </item>    <item>
      <title>0.2.1</title>
      <link>https://pypi.org/project/tadmetric/0.2.1/</link>
      <description>A lightweight evaluation toolkit for time-series anomaly detection</description>
<author>yooshin0303@dgist.ac.kr</author>      <pubDate>Wed, 18 Mar 2026 07:25:23 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/tadmetric/0.2.0/</link>
      <description>A lightweight evaluation toolkit for time-series anomaly detection</description>
<author>yooshin0303@dgist.ac.kr</author>      <pubDate>Wed, 18 Mar 2026 06:50:15 GMT</pubDate>
    </item>    <item>
      <title>0.1.7</title>
      <link>https://pypi.org/project/tadmetric/0.1.7/</link>
      <description>A lightweight evaluation toolkit for time-series anomaly detection</description>
<author>yooshin0303@dgist.ac.kr</author>      <pubDate>Mon, 16 Mar 2026 09:11:20 GMT</pubDate>
    </item>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/tadmetric/0.1.5/</link>
      <description>A lightweight evaluation toolkit for time-series anomaly detection</description>
<author>yooshin0303@dgist.ac.kr</author>      <pubDate>Mon, 16 Mar 2026 04:34:25 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/tadmetric/0.1.4/</link>
      <description>A lightweight evaluation toolkit for time-series anomaly detection</description>
<author>yooshin0303@dgist.ac.kr</author>      <pubDate>Mon, 16 Mar 2026 03:54:26 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/tadmetric/0.1.3/</link>
      <description>A lightweight evaluation toolkit for time-series anomaly detection</description>
<author>yooshin0303@dgist.ac.kr</author>      <pubDate>Mon, 16 Mar 2026 03:50:32 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/tadmetric/0.1.2/</link>
      <description>A lightweight evaluation toolkit for time-series anomaly detection</description>
<author>yooshin0303@dgist.ac.kr</author>      <pubDate>Mon, 16 Mar 2026 02:06:17 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/tadmetric/0.1.1/</link>
      <description>A lightweight evaluation toolkit for time-series anomaly detection</description>
<author>yooshin0303@dgist.ac.kr</author>      <pubDate>Mon, 16 Mar 2026 01:50:40 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/tadmetric/0.1.0/</link>
      <description>A lightweight evaluation toolkit for time-series anomaly detection</description>
<author>yooshin0303@dgist.ac.kr</author>      <pubDate>Mon, 16 Mar 2026 01:45:06 GMT</pubDate>
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