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    <title>PyPI recent updates for sieve-crowd</title>
    <link>https://pypi.org/project/sieve-crowd/</link>
    <description>Recent updates to the Python Package Index for sieve-crowd</description>
    <language>en</language>    <item>
      <title>0.8.2</title>
      <link>https://pypi.org/project/sieve-crowd/0.8.2/</link>
      <description>Make every record one of a crowd, and measure it: deterministic, offline k-anonymity for CSV, JSON and XML tables.</description>
      <pubDate>Tue, 03 Nov 2026 11:28:17 GMT</pubDate>
    </item>    <item>
      <title>0.8.1</title>
      <link>https://pypi.org/project/sieve-crowd/0.8.1/</link>
      <description>Make every record one of a crowd, and measure it: deterministic, offline k-anonymity for CSV, JSON and XML tables.</description>
      <pubDate>Tue, 03 Nov 2026 04:11:24 GMT</pubDate>
    </item>    <item>
      <title>0.8.0</title>
      <link>https://pypi.org/project/sieve-crowd/0.8.0/</link>
      <description>Make every record one of a crowd, and measure it: deterministic, offline k-anonymity for CSV, JSON and XML tables.</description>
      <pubDate>Tue, 03 Nov 2026 03:38:30 GMT</pubDate>
    </item>    <item>
      <title>0.7.5</title>
      <link>https://pypi.org/project/sieve-crowd/0.7.5/</link>
      <description>Make every record one of a crowd, and measure it: deterministic, offline k-anonymity for CSV, JSON and XML tables.</description>
      <pubDate>Tue, 03 Nov 2026 00:41:35 GMT</pubDate>
    </item>    <item>
      <title>0.7.4</title>
      <link>https://pypi.org/project/sieve-crowd/0.7.4/</link>
      <description>Make every record one of a crowd, and measure it: deterministic, offline k-anonymity for CSV, JSON and XML tables.</description>
      <pubDate>Mon, 02 Nov 2026 23:37:11 GMT</pubDate>
    </item>    <item>
      <title>0.7.3</title>
      <link>https://pypi.org/project/sieve-crowd/0.7.3/</link>
      <description>Make every record one of a crowd, and measure it: deterministic, offline k-anonymity for CSV, JSON and XML tables.</description>
      <pubDate>Mon, 02 Nov 2026 21:30:40 GMT</pubDate>
    </item>    <item>
      <title>0.7.2</title>
      <link>https://pypi.org/project/sieve-crowd/0.7.2/</link>
      <description>Make every record one of a crowd, and measure it: deterministic, offline k-anonymity for CSV, JSON and XML tables.</description>
      <pubDate>Mon, 02 Nov 2026 16:19:24 GMT</pubDate>
    </item>    <item>
      <title>0.7.1</title>
      <link>https://pypi.org/project/sieve-crowd/0.7.1/</link>
      <description>Make every record one of a crowd, and measure it: deterministic, offline k-anonymity for CSV, JSON and XML tables.</description>
      <pubDate>Mon, 02 Nov 2026 13:25:52 GMT</pubDate>
    </item>    <item>
      <title>0.7.0</title>
      <link>https://pypi.org/project/sieve-crowd/0.7.0/</link>
      <description>Make every record one of a crowd, and measure it: deterministic, offline k-anonymity for CSV, JSON and XML tables.</description>
      <pubDate>Mon, 02 Nov 2026 09:04:54 GMT</pubDate>
    </item>    <item>
      <title>0.6.2</title>
      <link>https://pypi.org/project/sieve-crowd/0.6.2/</link>
      <description>Make every record one of a crowd, and measure it: deterministic, offline k-anonymity for CSV, JSON and XML tables.</description>
      <pubDate>Mon, 02 Nov 2026 00:50:28 GMT</pubDate>
    </item>    <item>
      <title>0.6.1</title>
      <link>https://pypi.org/project/sieve-crowd/0.6.1/</link>
      <description>Make every record one of a crowd, and measure it: deterministic, offline k-anonymity for CSV, JSON and XML tables.</description>
      <pubDate>Mon, 02 Nov 2026 00:48:43 GMT</pubDate>
    </item>    <item>
      <title>0.6.0</title>
      <link>https://pypi.org/project/sieve-crowd/0.6.0/</link>
      <description>Make every record one of a crowd, and measure it: deterministic, offline k-anonymity for CSV, JSON and XML tables.</description>
      <pubDate>Mon, 02 Nov 2026 00:45:35 GMT</pubDate>
    </item>    <item>
      <title>0.5.2</title>
      <link>https://pypi.org/project/sieve-crowd/0.5.2/</link>
      <description>Make every record one of a crowd, and measure it: deterministic, offline k-anonymity for CSV, JSON and XML tables.</description>
      <pubDate>Sun, 01 Nov 2026 21:53:20 GMT</pubDate>
    </item>    <item>
      <title>0.4.0</title>
      <link>https://pypi.org/project/sieve-crowd/0.4.0/</link>
      <description>Make every record one of a crowd, and measure it: deterministic, offline k-anonymity for CSV, JSON and XML tables.</description>
      <pubDate>Sat, 31 Oct 2026 21:31:38 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/sieve-crowd/0.3.0/</link>
      <description>Make every record one of a crowd, and measure it: deterministic, offline k-anonymity for CSV, JSON and XML tables.</description>
      <pubDate>Sat, 31 Oct 2026 21:31:17 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/sieve-crowd/0.2.0/</link>
      <description>Make every record one of a crowd, and measure it: deterministic, offline k-anonymity for CSV, JSON and XML tables.</description>
      <pubDate>Tue, 27 Oct 2026 15:57:39 GMT</pubDate>
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