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    <title>xlsx</title>
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    <updated>2026-08-02T00:33:08+00:00</updated>
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            <entry>
            <id>https://links.biapy.com/links/13285</id>
            <title type="text"><![CDATA[openpyxl]]></title>
            <link rel="alternate" href="https://openpyxl.readthedocs.io/en/stable/index.html#" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13285"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[openpyxl is a Python library to read/write Excel 2010 xlsx/xlsm/xltx/xltm files.

It was born from lack of existing library to read/write natively from Python the Office Open XML format.

All kudos to the PHPExcel team as openpyxl was initially based on PHPExcel.

- [openpyxl @ Heptapod&amp;#039;s GitLab](https://foss.heptapod.net/openpyxl/openpyxl).

Related contents:

- [Générer un Excel volumineux avec Airflow sans dépassement de mémoire @ .LOUD :fr:](https://loud-technology.com/blog/export-excel-streaming-airflow/).]]>
            </summary>
            <updated>2026-07-15T07:08:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12998</id>
            <title type="text"><![CDATA[Extend UI]]></title>
            <link rel="alternate" href="https://www.extend.ai/ui" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12998"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open source UI kit for modern document apps.

React components for PDF, DOCX, XLSX, and CSV viewers, with bounding box citations, file upload, e-signing, and more.

Ready to drop into user-facing flows, agents, or internal tools.

- [Extend UI @ GitHub](https://github.com/extend-hq/ui).]]>
            </summary>
            <updated>2026-06-11T12:11:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12886</id>
            <title type="text"><![CDATA[hucre]]></title>
            <link rel="alternate" href="https://hucre.productdevbook.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12886"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Zero-dependency spreadsheet engine — XLSX, CSV, ODS, JSON, NDJSON, XML.

Schema validation, streaming, round-trip preservation. Pure TypeScript, works everywhere.

- [hucre @ GitHub](https://github.com/productdevbook/hucre).]]>
            </summary>
            <updated>2026-06-02T05:54:12+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10874</id>
            <title type="text"><![CDATA[xlsxsql]]></title>
            <link rel="alternate" href="https://github.com/noborus/xlsxsql" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10874"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A CLI tool that executes SQL queries on xlsx files and outputs the results to various files, and also executes SQL queries on various files and outputs them to xlsx files.]]>
            </summary>
            <updated>2025-11-04T07:19:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/214</id>
            <title type="text"><![CDATA[csvkit]]></title>
            <link rel="alternate" href="https://csvkit.readthedocs.io/en/latest/index.html" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/214"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[csvkit is a suite of command-line tools for converting to and working with CSV, the king of tabular file formats.

It is inspired by pdftk, GDAL and the original csvcut tool by Joe Germuska and Aaron Bycoffe.

It provides in2csv to convert xlsx to csv, and csvsql to populate a database with a csv file contents.

- [csvkit @ GitHub](https://github.com/wireservice/csvkit).]]>
            </summary>
            <updated>2025-10-21T14:50:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1551</id>
            <title type="text"><![CDATA[Kreuzberg]]></title>
            <link rel="alternate" href="https://github.com/Goldziher/kreuzberg" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1551"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A text extraction library supporting PDFs, images, office documents and more.

Kreuzberg is a Python library for text extraction from documents. It provides a unified async interface for extracting text from PDFs, images, office documents, and more.]]>
            </summary>
            <updated>2025-08-28T20:15:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4636</id>
            <title type="text"><![CDATA[OpenSpout]]></title>
            <link rel="alternate" href="https://github.com/openspout/openspout" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4636"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Read and write spreadsheet files (CSV, XLSX and ODS), in a fast and scalable way.

OpenSpout is a community driven fork of box/spout, a PHP library to read and write spreadsheet files (CSV, XLSX and ODS), in a fast and scalable way. Unlike other file readers or writers, it is capable of processing very large files, while keeping the memory usage really low (less than 3MB).]]>
            </summary>
            <updated>2025-08-29T04:50:47+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6092</id>
            <title type="text"><![CDATA[Excelize]]></title>
            <link rel="alternate" href="https://github.com/qax-os/excelize" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6092"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Go language library for reading and writing Microsoft Excel™ (XLAM / XLSM / XLSX / XLTM / XLTX) spreadsheets.
Excelize is a library written in pure Go providing a set of functions that allow you to write to and read from XLAM / XLSM / XLSX / XLTM / XLTX files. Supports reading and writing spreadsheet documents generated by Microsoft Excel™ 2007 and later. Supports complex components by high compatibility, and provided streaming API for generating or reading data from a worksheet with huge amounts of data. This library needs Go version 1.16 or later. The full docs can be seen using go&amp;#039;s built-in documentation tool, or online at go.dev and docs reference.]]>
            </summary>
            <updated>2025-08-29T08:52:53+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6155</id>
            <title type="text"><![CDATA[csvkit]]></title>
            <link rel="alternate" href="https://csvkit.readthedocs.io/en/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6155"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[csvkit is a suite of command-line tools for converting to and working with CSV, the king of tabular file formats.

- [csvkit @ GitHub](https://github.com/wireservice/csvkit)]]>
            </summary>
            <updated>2025-11-04T07:24:38+00:00</updated>
        </entry>
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