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    <title>PyPI recent updates for xlr8</title>
    <link>https://pypi.org/project/xlr8/</link>
    <description>Recent updates to the Python Package Index for xlr8</description>
    <language>en</language>    <item>
      <title>0.1.10</title>
      <link>https://pypi.org/project/xlr8/0.1.10/</link>
      <description>High-performance database read acceleration layer for MongoDB. Auto-chunks and parallelizes queries across multiple-workers, streams results to parquet with intelligent caching and memory-bounded execution, option to stream data directly to any data lake. Same PyMongo API but dramatically faster results with RUST backend for CPU-heavy tasks.</description>
      <pubDate>Sat, 06 Jun 2026 19:13:17 GMT</pubDate>
    </item>    <item>
      <title>0.1.9</title>
      <link>https://pypi.org/project/xlr8/0.1.9/</link>
      <description>High-performance database read acceleration layer for MongoDB. Auto-chunks and parallelizes queries across multiple-workers, streams results to parquet with intelligent caching and memory-bounded execution, option to stream data directly to any data lake. Same PyMongo API but dramatically faster results with RUST backend for CPU-heavy tasks.</description>
      <pubDate>Sun, 22 Mar 2026 20:03:23 GMT</pubDate>
    </item>    <item>
      <title>0.1.8</title>
      <link>https://pypi.org/project/xlr8/0.1.8/</link>
      <description>High-performance database read acceleration layer for MongoDB. Auto-chunks and parallelizes queries across multiple-workers, streams results to parquet with intelligent caching and memory-bounded execution, option to stream data directly to any data lake. Same PyMongo API but dramatically faster results with RUST backend for CPU-heavy tasks.</description>
      <pubDate>Thu, 19 Mar 2026 18:29:36 GMT</pubDate>
    </item>    <item>
      <title>0.1.7</title>
      <link>https://pypi.org/project/xlr8/0.1.7/</link>
      <description>High-performance database read acceleration layer for MongoDB. Auto-chunks and parallelizes queries across multiple-workers, streams results to parquet with intelligent caching and memory-bounded execution, option to stream data directly to any data lake. Same PyMongo API but dramatically faster results with RUST backend for CPU-heavy tasks.</description>
      <pubDate>Wed, 21 Jan 2026 01:10:13 GMT</pubDate>
    </item>    <item>
      <title>0.1.7b3</title>
      <link>https://pypi.org/project/xlr8/0.1.7b3/</link>
      <description>High-performance database read acceleration layer for MongoDB. Auto-chunks and parallelizes queries across multiple-workers, streams results to parquet with intelligent caching and memory-bounded execution, option to stream data directly to any data lake. Same PyMongo API but dramatically faster results with RUST backend for CPU-heavy tasks.</description>
      <pubDate>Tue, 20 Jan 2026 23:41:04 GMT</pubDate>
    </item>    <item>
      <title>0.1.7b2</title>
      <link>https://pypi.org/project/xlr8/0.1.7b2/</link>
      <description>High-performance database read acceleration layer for MongoDB. Auto-chunks and parallelizes queries across multiple-workers, streams results to parquet with intelligent caching and memory-bounded execution, option to stream data directly to any data lake. Same PyMongo API but dramatically faster results with RUST backend for CPU-heavy tasks.</description>
      <pubDate>Tue, 20 Jan 2026 22:09:28 GMT</pubDate>
    </item>    <item>
      <title>0.1.7b1</title>
      <link>https://pypi.org/project/xlr8/0.1.7b1/</link>
      <description>High-performance database read acceleration layer for MongoDB. Auto-chunks and parallelizes queries across multiple-workers, streams results to parquet with intelligent caching and memory-bounded execution, option to stream data directly to any data lake. Same PyMongo API but dramatically faster results with RUST backend for CPU-heavy tasks.</description>
      <pubDate>Tue, 20 Jan 2026 20:20:54 GMT</pubDate>
    </item>    <item>
      <title>0.1.6</title>
      <link>https://pypi.org/project/xlr8/0.1.6/</link>
      <description>High-performance database read acceleration layer for MongoDB. Auto-chunks and parallelizes queries across multiple-workers, streams results to parquet with intelligent caching and memory-bounded execution, option to stream data directly to any data lake. Same PyMongo API but dramatically faster results with RUST backend for CPU-heavy tasks.</description>
      <pubDate>Tue, 20 Jan 2026 19:38:54 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/xlr8/0.1.4/</link>
      <description>High-performance database read acceleration layer for MongoDB. Auto-chunks and parallelizes queries across multiple-workers, streams results to parquet with intelligent caching and memory-bounded execution, option to stream data directly to any data lake. Same PyMongo API but dramatically faster results with RUST backend for CPU-heavy tasks.</description>
      <pubDate>Tue, 20 Jan 2026 02:34:41 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/xlr8/0.1.3/</link>
      <description>High-performance database read acceleration layer for MongoDB. Auto-chunks and parallelizes queries across multiple-workers, streams results to parquet with intelligent caching and memory-bounded execution, option to stream data directly to any data lake. Same PyMongo API but dramatically faster results with RUST backend for CPU-heavy tasks.</description>
      <pubDate>Tue, 20 Jan 2026 02:22:09 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/xlr8/0.1.2/</link>
      <description>High-performance database read acceleration layer for MongoDB. Auto-chunks and parallelizes queries across multiple-workers, streams results to parquet with intelligent caching and memory-bounded execution, option to stream data directly to any data lake. Same PyMongo API but dramatically faster results with RUST backend for CPU-heavy tasks.</description>
      <pubDate>Tue, 20 Jan 2026 01:48:41 GMT</pubDate>
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