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    <title>PyPI recent updates for Histropy</title>
    <link>https://pypi.org/project/histropy/</link>
    <description>Recent updates to the Python Package Index for Histropy</description>
    <language>en</language>    <item>
      <title>0.1.6</title>
      <link>https://pypi.org/project/histropy/0.1.6/</link>
      <description>An interactive Python-based program for the quantification of selected features of two-dimensional (2D) images/patterns (in either JPG/JPEG, PNG, GIF, BMP, or baseline TIF/TIFF formats) by means of calculations based on the pixel intensities in this data, their histograms, and user-selected sections of those histograms.</description>
<author>sagarikamenon14@gmail.com</author>      <pubDate>Sat, 03 May 2025 03:14:22 GMT</pubDate>
    </item>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/histropy/0.1.5/</link>
      <description>An interactive Python-based program for the quantification of selected features of two-dimensional (2D) images/patterns (in either JPG/JPEG, PNG, GIF, BMP, or baseline TIF/TIFF formats) by means of calculations based on the pixel intensities in this data, their histograms, and user-selected sections of those histograms.</description>
<author>sagarikamenon14@gmail.com</author>      <pubDate>Sat, 03 May 2025 03:05:55 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/histropy/0.1.4/</link>
      <description>An interactive Python-based program for the quantification of selected features of two-dimensional (2D) images/patterns (in either JPG/JPEG, PNG, GIF, BMP, or baseline TIF/TIFF formats) by means of calculations based on the pixel intensities in this data, their histograms, and user-selected sections of those histograms.</description>
<author>sagarikamenon14@gmail.com</author>      <pubDate>Sat, 03 May 2025 02:55:20 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/histropy/0.1.3/</link>
      <description>An interactive Python-based program for the quantification of selected features of two-dimensional (2D) images/patterns (in either JPG/JPEG, PNG, GIF, BMP, or baseline TIF/TIFF formats) by means of calculations based on the pixel intensities in this data, their histograms, and user-selected sections of those histograms.</description>
<author>sagarikamenon14@gmail.com</author>      <pubDate>Sat, 03 May 2025 02:52:52 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/histropy/0.1.2/</link>
      <description>An interactive Python-based program for the quantification of selected features of two-dimensional (2D) images/patterns (in either JPG/JPEG, PNG, GIF, BMP, or baseline TIF/TIFF formats) by means of calculations based on the pixel intensities in this data, their histograms, and user-selected sections of those histograms.</description>
<author>sagarikamenon14@gmail.com</author>      <pubDate>Sat, 03 May 2025 02:49:16 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/histropy/0.1.1/</link>
      <description>An interactive Python-based program for the quantification of selected features of two-dimensional (2D) images/patterns (in either JPG/JPEG, PNG, GIF, BMP, or baseline TIF/TIFF formats) by means of calculations based on the pixel intensities in this data, their histograms, and user-selected sections of those histograms.</description>
<author>sagarikamenon14@gmail.com</author>      <pubDate>Fri, 02 May 2025 17:17:42 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/histropy/0.1.0/</link>
      <description>An interactive Python-based program for the quantification of selected features of two-dimensional (2D) images/patterns (in either JPG/JPEG, PNG, GIF, BMP, or baseline TIF/TIFF formats) by means of calculations based on the pixel intensities in this data, their histograms, and user-selected sections of those histograms.</description>
<author>sagarikamenon14@gmail.com</author>      <pubDate>Fri, 02 May 2025 17:10:01 GMT</pubDate>
    </item>    <item>
      <title>0.0.9</title>
      <link>https://pypi.org/project/histropy/0.0.9/</link>
      <description>An interactive Python-based program for the quantification of selected features of two-dimensional (2D) images/patterns (in either JPG/JPEG, PNG, GIF, BMP, or baseline TIF/TIFF formats) by means of calculations based on the pixel intensities in this data, their histograms, and user-selected sections of those histograms.</description>
<author>sagarikamenon14@gmail.com</author>      <pubDate>Wed, 23 Apr 2025 03:28:46 GMT</pubDate>
    </item>    <item>
      <title>0.0.8</title>
      <link>https://pypi.org/project/histropy/0.0.8/</link>
      <description>An interactive Python-based program for the quantification of selected features of two-dimensional (2D) images/patterns (in either JPG/JPEG, PNG, GIF, BMP, or baseline TIF/TIFF formats) by means of calculations based on the pixel intensities in this data, their histograms, and user-selected sections of those histograms.</description>
<author>sagarikamenon14@gmail.com</author>      <pubDate>Wed, 23 Apr 2025 03:27:23 GMT</pubDate>
    </item>    <item>
      <title>0.0.7</title>
      <link>https://pypi.org/project/histropy/0.0.7/</link>
      <description>An interactive Python-based program for the quantification of selected features of two-dimensional (2D) images/patterns (in either JPG/JPEG, PNG, GIF, BMP, or baseline TIF/TIFF formats) by means of calculations based on the pixel intensities in this data, their histograms, and user-selected sections of those histograms.</description>
<author>sagarikamenon14@gmail.com</author>      <pubDate>Sat, 19 Apr 2025 21:55:08 GMT</pubDate>
    </item>    <item>
      <title>0.0.6</title>
      <link>https://pypi.org/project/histropy/0.0.6/</link>
      <description>An interactive Python-based program for the quantification of selected features of two-dimensional (2D) images/patterns (in either JPG/JPEG, PNG, GIF, BMP, or baseline TIF/TIFF formats) by means of calculations based on the pixel intensities in this data, their histograms, and user-selected sections of those histograms.</description>
<author>sagarikamenon14@gmail.com</author>      <pubDate>Sat, 19 Apr 2025 21:54:07 GMT</pubDate>
    </item>    <item>
      <title>0.0.5</title>
      <link>https://pypi.org/project/histropy/0.0.5/</link>
      <description>An interactive Python-based program for the quantification of selected features of two-dimensional (2D) images/patterns (in either JPG/JPEG, PNG, GIF, BMP, or baseline TIF/TIFF formats) by means of calculations based on the pixel intensities in this data, their histograms, and user-selected sections of those histograms.</description>
<author>sagarikamenon14@gmail.com</author>      <pubDate>Sat, 19 Apr 2025 21:39:55 GMT</pubDate>
    </item>    <item>
      <title>0.0.4</title>
      <link>https://pypi.org/project/histropy/0.0.4/</link>
      <description>An interactive Python-based program for the quantification of selected features of two-dimensional (2D) images/patterns (in either JPG/JPEG, PNG, GIF, BMP, or baseline TIF/TIFF formats) by means of calculations based on the pixel intensities in this data, their histograms, and user-selected sections of those histograms.</description>
<author>sagarikamenon14@gmail.com</author>      <pubDate>Sat, 19 Apr 2025 21:31:49 GMT</pubDate>
    </item>    <item>
      <title>0.0.3</title>
      <link>https://pypi.org/project/histropy/0.0.3/</link>
      <description>An interactive Python-based program for the quantification of selected features of two-dimensional (2D) images/patterns (in either JPG/JPEG, PNG, GIF, BMP, or baseline TIF/TIFF formats) by means of calculations based on the pixel intensities in this data, their histograms, and user-selected sections of those histograms.</description>
<author>sagarikamenon14@gmail.com</author>      <pubDate>Sat, 19 Apr 2025 21:24:34 GMT</pubDate>
    </item>    <item>
      <title>0.0.2</title>
      <link>https://pypi.org/project/histropy/0.0.2/</link>
      <description>An interactive Python-based program for the quantification of selected features of two-dimensional (2D) images/patterns (in either JPG/JPEG, PNG, GIF, BMP, or baseline TIF/TIFF formats) by means of calculations based on the pixel intensities in this data, their histograms, and user-selected sections of those histograms.</description>
<author>sagarikamenon14@gmail.com</author>      <pubDate>Sat, 19 Apr 2025 21:21:40 GMT</pubDate>
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