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    <title>PyPI recent updates for memframe</title>
    <link>https://pypi.org/project/memframe/</link>
    <description>Recent updates to the Python Package Index for memframe</description>
    <language>en</language>    <item>
      <title>0.11.0</title>
      <link>https://pypi.org/project/memframe/0.11.0/</link>
      <description>memFrame is a Python package for working with database-backed DataFrame operations. It lets you upload CSV files, Parquet files, and pandas DataFrames into a local DuckDB database or a remote PostgreSQL/Clickhouse database, then run DataFrame-style inspection, selection, cleaning, and table-management operations through one consistent API.</description>
<author>debo.mandal95@gmail.com</author>      <pubDate>Thu, 24 Sep 2026 17:28:50 GMT</pubDate>
    </item>    <item>
      <title>0.10.2</title>
      <link>https://pypi.org/project/memframe/0.10.2/</link>
      <description>memFrame is a Python package for working with database-backed DataFrame operations. It lets you upload CSV files, Parquet files, and pandas DataFrames into a local DuckDB database or a remote PostgreSQL/Clickhouse database, then run DataFrame-style inspection, selection, cleaning, and table-management operations through one consistent API.</description>
<author>debo.mandal95@gmail.com</author>      <pubDate>Tue, 22 Sep 2026 09:05:12 GMT</pubDate>
    </item>    <item>
      <title>0.10.1</title>
      <link>https://pypi.org/project/memframe/0.10.1/</link>
      <description>memFrame is a Python package for working with database-backed DataFrame operations. It lets you upload CSV files, Parquet files, and pandas DataFrames into a local DuckDB database or a remote PostgreSQL/Clickhouse database, then run DataFrame-style inspection, selection, cleaning, and table-management operations through one consistent API.</description>
<author>debo.mandal95@gmail.com</author>      <pubDate>Mon, 21 Sep 2026 16:19:51 GMT</pubDate>
    </item>    <item>
      <title>0.9.0</title>
      <link>https://pypi.org/project/memframe/0.9.0/</link>
      <description>memFrame is a Python package for working with database-backed DataFrame operations. It lets you upload CSV files, Parquet files, and pandas DataFrames into a local DuckDB database or a remote PostgreSQL/Clickhouse database, then run DataFrame-style inspection, selection, cleaning, and table-management operations through one consistent API.</description>
<author>debo.mandal95@gmail.com</author>      <pubDate>Fri, 18 Sep 2026 19:12:04 GMT</pubDate>
    </item>    <item>
      <title>0.8.0</title>
      <link>https://pypi.org/project/memframe/0.8.0/</link>
      <description>memFrame is a Python package for working with database-backed DataFrame operations. It lets you upload CSV files, Parquet files, and pandas DataFrames into a local DuckDB database or a remote PostgreSQL/Clickhouse database, then run DataFrame-style inspection, selection, cleaning, and table-management operations through one consistent API.</description>
<author>debo.mandal95@gmail.com</author>      <pubDate>Thu, 17 Sep 2026 09:33:14 GMT</pubDate>
    </item>    <item>
      <title>0.7.2</title>
      <link>https://pypi.org/project/memframe/0.7.2/</link>
      <description>memFrame is a Python package for working with database-backed DataFrame operations. It lets you upload CSV files, Parquet files, and pandas DataFrames into a local DuckDB database or a remote PostgreSQL/Clickhouse database, then run DataFrame-style inspection, selection, cleaning, and table-management operations through one consistent API.</description>
<author>debo.mandal95@gmail.com</author>      <pubDate>Tue, 15 Sep 2026 17:20:13 GMT</pubDate>
    </item>    <item>
      <title>0.7.1</title>
      <link>https://pypi.org/project/memframe/0.7.1/</link>
      <description>memFrame is a Python package for working with database-backed DataFrame operations. It lets you upload CSV files, Parquet files, and pandas DataFrames into a local DuckDB database or a remote PostgreSQL/Clickhouse database, then run DataFrame-style inspection, selection, cleaning, and table-management operations through one consistent API.</description>
<author>debo.mandal95@gmail.com</author>      <pubDate>Tue, 15 Sep 2026 15:38:40 GMT</pubDate>
    </item>    <item>
      <title>0.7.0</title>
      <link>https://pypi.org/project/memframe/0.7.0/</link>
      <description>memFrame is a Python package for working with database-backed DataFrame operations. It lets you upload CSV files, Parquet files, and pandas DataFrames into a local DuckDB database or a remote PostgreSQL/Clickhouse database, then run DataFrame-style inspection, selection, cleaning, and table-management operations through one consistent API.</description>
<author>debo.mandal95@gmail.com</author>      <pubDate>Mon, 14 Sep 2026 19:07:36 GMT</pubDate>
    </item>    <item>
      <title>0.6.0</title>
      <link>https://pypi.org/project/memframe/0.6.0/</link>
      <description>memFrame is a Python package for working with database-backed DataFrame operations. It lets you upload CSV files, Parquet files, and pandas DataFrames into a local DuckDB database or a remote PostgreSQL/Clickhouse database, then run DataFrame-style inspection, selection, cleaning, and table-management operations through one consistent API.</description>
<author>debo.mandal95@gmail.com</author>      <pubDate>Sun, 13 Sep 2026 10:24:27 GMT</pubDate>
    </item>    <item>
      <title>0.5.1</title>
      <link>https://pypi.org/project/memframe/0.5.1/</link>
      <description>memFrame is a Python package for working with database-backed DataFrame operations. It lets you upload CSV files, Parquet files, and pandas DataFrames into a local DuckDB database or a remote PostgreSQL/Clickhouse database, then run DataFrame-style inspection, selection, cleaning, and table-management operations through one consistent API.</description>
<author>debo.mandal95@gmail.com</author>      <pubDate>Fri, 11 Sep 2026 16:27:05 GMT</pubDate>
    </item>    <item>
      <title>0.5.0</title>
      <link>https://pypi.org/project/memframe/0.5.0/</link>
      <description>memFrame is a Python package for working with database-backed DataFrame operations. It lets you upload CSV files, Parquet files, and pandas DataFrames into a local DuckDB database or a remote PostgreSQL/Clickhouse database, then run DataFrame-style inspection, selection, cleaning, and table-management operations through one consistent API.</description>
<author>debo.mandal95@gmail.com</author>      <pubDate>Fri, 11 Sep 2026 14:25:40 GMT</pubDate>
    </item>    <item>
      <title>0.4.0</title>
      <link>https://pypi.org/project/memframe/0.4.0/</link>
      <description>memFrame is a Python package for working with database-backed DataFrame operations. It lets you upload CSV files, Parquet files, and pandas DataFrames into a local DuckDB database or a remote PostgreSQL/Clickhouse database, then run DataFrame-style inspection, selection, cleaning, and table-management operations through one consistent API.</description>
<author>debo.mandal95@gmail.com</author>      <pubDate>Wed, 09 Sep 2026 09:47:38 GMT</pubDate>
    </item>    <item>
      <title>0.2.2</title>
      <link>https://pypi.org/project/memframe/0.2.2/</link>
      <description>memFrame is a Python package for working with database-backed DataFrame operations. It lets you upload CSV files, Parquet files, and pandas DataFrames into a local DuckDB database or a remote PostgreSQL/Clickhouse database, then run DataFrame-style inspection, selection, cleaning, and table-management operations through one consistent API.</description>
<author>debo.mandal95@gmail.com</author>      <pubDate>Wed, 19 Aug 2026 16:41:56 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/memframe/0.2.0/</link>
      <description>memFrame is a Python package for working with database-backed DataFrame operations. It lets you upload CSV files, Parquet files, and pandas DataFrames into a local DuckDB database or a remote PostgreSQL/Clickhouse database, then run DataFrame-style inspection, selection, cleaning, and table-management operations through one consistent API.</description>
<author>debo.mandal95@gmail.com</author>      <pubDate>Sun, 16 Aug 2026 20:03:15 GMT</pubDate>
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