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    <title>PyPI recent updates for differential-coverage</title>
    <link>https://pypi.org/project/differential-coverage/</link>
    <description>Recent updates to the Python Package Index for differential-coverage</description>
    <language>en</language>    <item>
      <title>1.2.1</title>
      <link>https://pypi.org/project/differential-coverage/1.2.1/</link>
      <description>Compute differential coverage, a better way of comparing testing tools.</description>
<author>contact@valentinhuber.me</author>      <pubDate>Mon, 20 Jul 2026 14:40:20 GMT</pubDate>
    </item>    <item>
      <title>1.2.0</title>
      <link>https://pypi.org/project/differential-coverage/1.2.0/</link>
      <description>Compute differential coverage, a better way of comparing testing tools.</description>
<author>contact@valentinhuber.me</author>      <pubDate>Fri, 17 Jul 2026 11:38:10 GMT</pubDate>
    </item>    <item>
      <title>1.1.2</title>
      <link>https://pypi.org/project/differential-coverage/1.1.2/</link>
      <description>Compute differential coverage, a better way of comparing testing tools.</description>
<author>contact@valentinhuber.me</author>      <pubDate>Thu, 16 Jul 2026 10:19:55 GMT</pubDate>
    </item>    <item>
      <title>1.1.1</title>
      <link>https://pypi.org/project/differential-coverage/1.1.1/</link>
      <description>Compute differential coverage, a better way of comparing testing tools.</description>
<author>contact@valentinhuber.me</author>      <pubDate>Tue, 14 Jul 2026 12:47:34 GMT</pubDate>
    </item>    <item>
      <title>1.1.0</title>
      <link>https://pypi.org/project/differential-coverage/1.1.0/</link>
      <description>Compute differential coverage, a better way of comparing testing tools.</description>
<author>contact@valentinhuber.me</author>      <pubDate>Sat, 06 Jun 2026 12:23:43 GMT</pubDate>
    </item>    <item>
      <title>1.0.4</title>
      <link>https://pypi.org/project/differential-coverage/1.0.4/</link>
      <description>Compute differential coverage, a better way of comparing testing tools.</description>
<author>contact@valentinhuber.me</author>      <pubDate>Thu, 12 Mar 2026 19:56:48 GMT</pubDate>
    </item>    <item>
      <title>1.0.3</title>
      <link>https://pypi.org/project/differential-coverage/1.0.3/</link>
      <description>Compute differential coverage, a better way of comparing testing tools.</description>
<author>contact@valentinhuber.me</author>      <pubDate>Wed, 11 Mar 2026 14:14:13 GMT</pubDate>
    </item>    <item>
      <title>1.0.2</title>
      <link>https://pypi.org/project/differential-coverage/1.0.2/</link>
      <description>Compute differential coverage, a better way of comparing testing tools.</description>
<author>contact@valentinhuber.me</author>      <pubDate>Sat, 07 Mar 2026 15:33:53 GMT</pubDate>
    </item>    <item>
      <title>1.0.1</title>
      <link>https://pypi.org/project/differential-coverage/1.0.1/</link>
      <description>Compute differential coverage, a better way of comparing testing tools.</description>
<author>contact@valentinhuber.me</author>      <pubDate>Wed, 11 Feb 2026 13:01:55 GMT</pubDate>
    </item>    <item>
      <title>1.0.0</title>
      <link>https://pypi.org/project/differential-coverage/1.0.0/</link>
      <description>Compute differential coverage, a better way of comparing testing tools.</description>
<author>contact@valentinhuber.me</author>      <pubDate>Wed, 11 Feb 2026 11:43:00 GMT</pubDate>
    </item>    <item>
      <title>1.0.0rc1</title>
      <link>https://pypi.org/project/differential-coverage/1.0.0rc1/</link>
      <description>Compute differential coverage, a better way of comparing testing tools.</description>
<author>contact@valentinhuber.me</author>      <pubDate>Wed, 11 Feb 2026 11:20:02 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/differential-coverage/0.3.0/</link>
      <description>Compute differential coverage for fuzzer runs.</description>
<author>contact@valentinhuber.me</author>      <pubDate>Fri, 06 Feb 2026 16:16:27 GMT</pubDate>
    </item>    <item>
      <title>0.2.5</title>
      <link>https://pypi.org/project/differential-coverage/0.2.5/</link>
      <description>Compute differential coverage for fuzzer runs.</description>
<author>contact@valentinhuber.me</author>      <pubDate>Thu, 05 Feb 2026 18:53:03 GMT</pubDate>
    </item>    <item>
      <title>0.2.4</title>
      <link>https://pypi.org/project/differential-coverage/0.2.4/</link>
      <description>Compute differential coverage for fuzzer runs.</description>
<author>contact@valentinhuber.me</author>      <pubDate>Thu, 05 Feb 2026 18:28:47 GMT</pubDate>
    </item>    <item>
      <title>0.2.3</title>
      <link>https://pypi.org/project/differential-coverage/0.2.3/</link>
      <description>Compute differential coverage for fuzzer runs.</description>
<author>contact@valentinhuber.me</author>      <pubDate>Thu, 05 Feb 2026 16:34:51 GMT</pubDate>
    </item>    <item>
      <title>0.2.2</title>
      <link>https://pypi.org/project/differential-coverage/0.2.2/</link>
      <description>Compute differential coverage for fuzzer runs.</description>
<author>contact@valentinhuber.me</author>      <pubDate>Thu, 05 Feb 2026 16:21:44 GMT</pubDate>
    </item>    <item>
      <title>0.2.1</title>
      <link>https://pypi.org/project/differential-coverage/0.2.1/</link>
      <description>Compute differential coverage for fuzzer runs.</description>
<author>contact@valentinhuber.me</author>      <pubDate>Wed, 04 Feb 2026 17:28:22 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/differential-coverage/0.2.0/</link>
      <description>Compute differential coverage for fuzzer runs.</description>
<author>contact@valentinhuber.me</author>      <pubDate>Wed, 04 Feb 2026 16:56:38 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/differential-coverage/0.1.0/</link>
      <description>Compute differential coverage for fuzzer runs.</description>
<author>contact@valentinhuber.me</author>      <pubDate>Wed, 04 Feb 2026 02:08:25 GMT</pubDate>
    </item>  </channel>
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