<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0">
  <channel>
    <title>PyPI recent updates for figtools</title>
    <link>https://pypi.org/project/figtools/</link>
    <description>Recent updates to the Python Package Index for figtools</description>
    <language>en</language>    <item>
      <title>0.9.0</title>
      <link>https://pypi.org/project/figtools/0.9.0/</link>
      <description>Matplotlib figure style inspired by Kieran Healy&#39;s Data Visualization: direct labels placed clear of each other and of the data, a measured overlap check, export at each destination&#39;s physical size, and a machine-readable digest of every figure&#39;s data</description>
      <pubDate>Mon, 19 Oct 2026 13:05:24 GMT</pubDate>
    </item>    <item>
      <title>0.8.2</title>
      <link>https://pypi.org/project/figtools/0.8.2/</link>
      <description>Matplotlib figure style inspired by Kieran Healy&#39;s Data Visualization: direct labels placed clear of each other and of the data, a measured overlap check, export at each destination&#39;s physical size, and a machine-readable digest of every figure&#39;s data</description>
      <pubDate>Thu, 15 Oct 2026 15:15:46 GMT</pubDate>
    </item>    <item>
      <title>0.8.1</title>
      <link>https://pypi.org/project/figtools/0.8.1/</link>
      <description>Matplotlib figure style inspired by Kieran Healy&#39;s Data Visualization: direct labels placed clear of each other and of the data, a measured overlap check, export at each destination&#39;s physical size, and a machine-readable digest of every figure&#39;s data</description>
      <pubDate>Thu, 15 Oct 2026 14:34:48 GMT</pubDate>
    </item>    <item>
      <title>0.8.0</title>
      <link>https://pypi.org/project/figtools/0.8.0/</link>
      <description>Matplotlib figure style inspired by Kieran Healy&#39;s Data Visualization: direct labels placed clear of each other and of the data, a measured overlap check, export at each destination&#39;s physical size, and a machine-readable digest of every figure&#39;s data</description>
      <pubDate>Thu, 15 Oct 2026 13:45:02 GMT</pubDate>
    </item>  </channel>
</rss>