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    <title>PyPI recent updates for bencheval</title>
    <link>https://pypi.org/project/bencheval/</link>
    <description>Recent updates to the Python Package Index for bencheval</description>
    <language>en</language>    <item>
      <title>0.1.1.dev20260914145652</title>
      <link>https://pypi.org/project/bencheval/0.1.1.dev20260914145652/</link>
      <description>Benchmark evaluation for tabular ML: Elo, win-rate, rank and improvability leaderboards (the engine behind TabArena)</description>
      <pubDate>Mon, 14 Sep 2026 14:56:57 GMT</pubDate>
    </item>    <item>
      <title>0.1.1.dev20260914085437</title>
      <link>https://pypi.org/project/bencheval/0.1.1.dev20260914085437/</link>
      <description>Benchmark evaluation for tabular ML: Elo, win-rate, rank and improvability leaderboards (the engine behind TabArena)</description>
      <pubDate>Mon, 14 Sep 2026 08:54:42 GMT</pubDate>
    </item>    <item>
      <title>0.1.1.dev20260914075829</title>
      <link>https://pypi.org/project/bencheval/0.1.1.dev20260914075829/</link>
      <description>Benchmark evaluation for tabular ML: Elo, win-rate, rank and improvability leaderboards (the engine behind TabArena)</description>
      <pubDate>Mon, 14 Sep 2026 07:58:33 GMT</pubDate>
    </item>    <item>
      <title>0.1.1.dev20260914072954</title>
      <link>https://pypi.org/project/bencheval/0.1.1.dev20260914072954/</link>
      <description>Benchmark evaluation for tabular ML: Elo, win-rate, rank and improvability leaderboards (the engine behind TabArena)</description>
      <pubDate>Mon, 14 Sep 2026 07:29:59 GMT</pubDate>
    </item>    <item>
      <title>0.1.1.dev20260914035635</title>
      <link>https://pypi.org/project/bencheval/0.1.1.dev20260914035635/</link>
      <description>Benchmark evaluation for tabular ML: Elo, win-rate, rank and improvability leaderboards (the engine behind TabArena)</description>
      <pubDate>Mon, 14 Sep 2026 03:56:40 GMT</pubDate>
    </item>    <item>
      <title>0.1.1.dev20260914035334</title>
      <link>https://pypi.org/project/bencheval/0.1.1.dev20260914035334/</link>
      <description>Benchmark evaluation for tabular ML: Elo, win-rate, rank and improvability leaderboards (the engine behind TabArena)</description>
      <pubDate>Mon, 14 Sep 2026 03:53:39 GMT</pubDate>
    </item>    <item>
      <title>0.1.1.dev20260912104614</title>
      <link>https://pypi.org/project/bencheval/0.1.1.dev20260912104614/</link>
      <description>Benchmark evaluation for tabular ML: Elo, win-rate, rank and improvability leaderboards (the engine behind TabArena)</description>
      <pubDate>Sat, 12 Sep 2026 10:46:19 GMT</pubDate>
    </item>    <item>
      <title>0.1.1.dev20260912043206</title>
      <link>https://pypi.org/project/bencheval/0.1.1.dev20260912043206/</link>
      <description>Benchmark evaluation for tabular ML: Elo, win-rate, rank and improvability leaderboards (the engine behind TabArena)</description>
      <pubDate>Sat, 12 Sep 2026 04:32:12 GMT</pubDate>
    </item>    <item>
      <title>0.1.1.dev20260911160646</title>
      <link>https://pypi.org/project/bencheval/0.1.1.dev20260911160646/</link>
      <description>Benchmark evaluation for tabular ML: Elo, win-rate, rank and improvability leaderboards (the engine behind TabArena)</description>
      <pubDate>Fri, 11 Sep 2026 16:06:51 GMT</pubDate>
    </item>    <item>
      <title>0.1.1.dev20260910194127</title>
      <link>https://pypi.org/project/bencheval/0.1.1.dev20260910194127/</link>
      <description>Benchmark evaluation for tabular ML: Elo, win-rate, rank and improvability leaderboards (the engine behind TabArena)</description>
      <pubDate>Thu, 10 Sep 2026 19:41:31 GMT</pubDate>
    </item>    <item>
      <title>0.1.1.dev20260910191346</title>
      <link>https://pypi.org/project/bencheval/0.1.1.dev20260910191346/</link>
      <description>Benchmark evaluation for tabular ML: Elo, win-rate, rank and improvability leaderboards (the engine behind TabArena)</description>
      <pubDate>Thu, 10 Sep 2026 19:13:50 GMT</pubDate>
    </item>    <item>
      <title>0.1.1.dev20260910105640</title>
      <link>https://pypi.org/project/bencheval/0.1.1.dev20260910105640/</link>
      <description>Benchmark evaluation for tabular ML: Elo, win-rate, rank and improvability leaderboards (the engine behind TabArena)</description>
      <pubDate>Thu, 10 Sep 2026 10:56:44 GMT</pubDate>
    </item>    <item>
      <title>0.1.1.dev20260910010437</title>
      <link>https://pypi.org/project/bencheval/0.1.1.dev20260910010437/</link>
      <description>Benchmark evaluation for tabular ML: Elo, win-rate, rank and improvability leaderboards (the engine behind TabArena)</description>
      <pubDate>Thu, 10 Sep 2026 01:04:43 GMT</pubDate>
    </item>    <item>
      <title>0.1.1.dev20260909221447</title>
      <link>https://pypi.org/project/bencheval/0.1.1.dev20260909221447/</link>
      <description>Benchmark evaluation for tabular ML: Elo, win-rate, rank and improvability leaderboards (the engine behind TabArena)</description>
      <pubDate>Wed, 09 Sep 2026 22:14:52 GMT</pubDate>
    </item>    <item>
      <title>0.1.1.dev20260909202112</title>
      <link>https://pypi.org/project/bencheval/0.1.1.dev20260909202112/</link>
      <description>Benchmark evaluation for tabular ML: Elo, win-rate, rank and improvability leaderboards (the engine behind TabArena)</description>
      <pubDate>Wed, 09 Sep 2026 20:21:16 GMT</pubDate>
    </item>    <item>
      <title>0.1.1.dev20260908225011</title>
      <link>https://pypi.org/project/bencheval/0.1.1.dev20260908225011/</link>
      <description>Benchmark evaluation for tabular ML: Elo, win-rate, rank and improvability leaderboards (the engine behind TabArena)</description>
      <pubDate>Tue, 08 Sep 2026 22:50:17 GMT</pubDate>
    </item>    <item>
      <title>0.1.1.dev20260908165649</title>
      <link>https://pypi.org/project/bencheval/0.1.1.dev20260908165649/</link>
      <description>Benchmark evaluation for tabular ML: Elo, win-rate, rank and improvability leaderboards (the engine behind TabArena)</description>
      <pubDate>Tue, 08 Sep 2026 16:56:53 GMT</pubDate>
    </item>    <item>
      <title>0.1.1.dev20260908160701</title>
      <link>https://pypi.org/project/bencheval/0.1.1.dev20260908160701/</link>
      <description>Benchmark evaluation for tabular ML: Elo, win-rate, rank and improvability leaderboards (the engine behind TabArena)</description>
      <pubDate>Tue, 08 Sep 2026 16:07:07 GMT</pubDate>
    </item>    <item>
      <title>0.1.1.dev20260908132205</title>
      <link>https://pypi.org/project/bencheval/0.1.1.dev20260908132205/</link>
      <description>Benchmark evaluation for tabular ML: Elo, win-rate, rank and improvability leaderboards (the engine behind TabArena)</description>
      <pubDate>Tue, 08 Sep 2026 13:22:09 GMT</pubDate>
    </item>    <item>
      <title>0.1.1.dev20260908122839</title>
      <link>https://pypi.org/project/bencheval/0.1.1.dev20260908122839/</link>
      <description>Benchmark evaluation for tabular ML: Elo, win-rate, rank and improvability leaderboards (the engine behind TabArena)</description>
      <pubDate>Tue, 08 Sep 2026 12:28:43 GMT</pubDate>
    </item>    <item>
      <title>0.1.1.dev20260908114200</title>
      <link>https://pypi.org/project/bencheval/0.1.1.dev20260908114200/</link>
      <description>Benchmark evaluation for tabular ML: Elo, win-rate, rank and improvability leaderboards (the engine behind TabArena)</description>
      <pubDate>Tue, 08 Sep 2026 11:42:05 GMT</pubDate>
    </item>    <item>
      <title>0.1.1.dev20260908114135</title>
      <link>https://pypi.org/project/bencheval/0.1.1.dev20260908114135/</link>
      <description>Benchmark evaluation for tabular ML: Elo, win-rate, rank and improvability leaderboards (the engine behind TabArena)</description>
      <pubDate>Tue, 08 Sep 2026 11:41:40 GMT</pubDate>
    </item>    <item>
      <title>0.1.1.dev20260908114102</title>
      <link>https://pypi.org/project/bencheval/0.1.1.dev20260908114102/</link>
      <description>Benchmark evaluation for tabular ML: Elo, win-rate, rank and improvability leaderboards (the engine behind TabArena)</description>
      <pubDate>Tue, 08 Sep 2026 11:41:06 GMT</pubDate>
    </item>    <item>
      <title>0.1.1.dev20260908114040</title>
      <link>https://pypi.org/project/bencheval/0.1.1.dev20260908114040/</link>
      <description>Benchmark evaluation for tabular ML: Elo, win-rate, rank and improvability leaderboards (the engine behind TabArena)</description>
      <pubDate>Tue, 08 Sep 2026 11:40:44 GMT</pubDate>
    </item>    <item>
      <title>0.1.1.dev20260904093711</title>
      <link>https://pypi.org/project/bencheval/0.1.1.dev20260904093711/</link>
      <description>Benchmark evaluation for tabular ML: Elo, win-rate, rank and improvability leaderboards (the engine behind TabArena)</description>
      <pubDate>Fri, 04 Sep 2026 09:37:15 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/bencheval/0.1.0/</link>
      <description>Benchmark evaluation for tabular ML: Elo, win-rate, rank and improvability leaderboards (the engine behind TabArena)</description>
      <pubDate>Thu, 03 Sep 2026 15:41:03 GMT</pubDate>
    </item>    <item>
      <title>0.1.1.dev20260903151427</title>
      <link>https://pypi.org/project/bencheval/0.1.1.dev20260903151427/</link>
      <description>Benchmark evaluation for tabular ML: Elo, win-rate, rank and improvability leaderboards (the engine behind TabArena)</description>
      <pubDate>Thu, 03 Sep 2026 15:14:32 GMT</pubDate>
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