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    <title>PyPI recent updates for awesomepkf</title>
    <link>https://pypi.org/project/awesomepkf/</link>
    <description>Recent updates to the Python Package Index for awesomepkf</description>
    <language>en</language>    <item>
      <title>2.11.0</title>
      <link>https://pypi.org/project/awesomepkf/2.11.0/</link>
      <description>Pairwise Kalman Filter (PKF) and variants (EPKF, UPKF, PPF) and pairwise smoothers for linear and nonlinear state estimation</description>
      <pubDate>Fri, 05 Jun 2026 06:26:31 GMT</pubDate>
    </item>    <item>
      <title>2.10.0</title>
      <link>https://pypi.org/project/awesomepkf/2.10.0/</link>
      <description>Pairwise Kalman Filter (PKF) and variants (EPKF, UPKF, PPF) and pairwise smoothers for linear and nonlinear state estimation</description>
      <pubDate>Fri, 29 May 2026 17:38:34 GMT</pubDate>
    </item>    <item>
      <title>2.9.0</title>
      <link>https://pypi.org/project/awesomepkf/2.9.0/</link>
      <description>Pairwise Kalman Filter (PKF) and variants (EPKF, UPKF, PPF) and pairwise smoothers for linear and nonlinear state estimation</description>
      <pubDate>Fri, 29 May 2026 17:11:42 GMT</pubDate>
    </item>    <item>
      <title>2.8.0</title>
      <link>https://pypi.org/project/awesomepkf/2.8.0/</link>
      <description>Pairwise Kalman Filter (PKF) and variants (EPKF, UPKF, PPF) and pairwise smoothers for linear and nonlinear state estimation</description>
      <pubDate>Thu, 28 May 2026 07:15:11 GMT</pubDate>
    </item>    <item>
      <title>2.1.2</title>
      <link>https://pypi.org/project/awesomepkf/2.1.2/</link>
      <description>Pairwise Kalman Filter (PKF) and variants (EPKF, UPKF, PPF) for linear and nonlinear state estimation</description>
      <pubDate>Tue, 05 May 2026 18:37:47 GMT</pubDate>
    </item>    <item>
      <title>2.0.0</title>
      <link>https://pypi.org/project/awesomepkf/2.0.0/</link>
      <description>Pairwise Kalman Filter (PKF) and variants (EPKF, UPKF, PPF) for linear and nonlinear state estimation</description>
      <pubDate>Sat, 25 Apr 2026 06:12:06 GMT</pubDate>
    </item>  </channel>
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