<?xml version="1.0" encoding="UTF-8"?>
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    <title>csv</title>
    <link rel="self" type="application/atom+xml" href="https://links.biapy.com/guest/tags/389/feed"/>
    <updated>2026-09-15T09:09:19+00:00</updated>
    <id>https://links.biapy.com/guest/tags/389/feed</id>
            <entry>
            <id>https://links.biapy.com/links/13101</id>
            <title type="text"><![CDATA[RAWGraphs]]></title>
            <link rel="alternate" href="https://www.rawgraphs.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13101"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A free and open source tool for data visualization.

 A web interface to create custom vector-based visualizations.

- [RAWGraphs @ GitHub](https://github.com/rawgraphs/rawgraphs-app).

Related contents:

- [RawGraphs - Et vos données moches deviennent de beaux graphiques sans coder @ Korben :fr:](https://korben.info/rawgraphs-data-visualisation-open-source.html).]]>
            </summary>
            <updated>2026-06-24T09:32:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13054</id>
            <title type="text"><![CDATA[Sheets]]></title>
            <link rel="alternate" href="https://github.com/maaslalani/sheets" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13054"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Terminal based spreadsheet tool.
Spreadsheets in your terminal.]]>
            </summary>
            <updated>2026-06-18T15:47:26+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/12588</id>
            <title type="text"><![CDATA[Tabiew]]></title>
            <link rel="alternate" href="https://github.com/shshemi/tabiew" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12588"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Tabiew is a lightweight TUI application that allows users to view and query tabular data files, such as CSV, Parquet, Arrow, and ...

Related contents:

- [Dotfiles + Claude Code = my tiny config workshop @ Hubert Sablonnière](https://www.hsablonniere.com/dotfiles-claude-code-my-tiny-config-workshop--95d5fr/).]]>
            </summary>
            <updated>2026-04-21T08:01:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12225</id>
            <title type="text"><![CDATA[tennis]]></title>
            <link rel="alternate" href="https://github.com/gurgeous/tennis" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12225"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[stylish CSV tables in your terminal.

tennis is a small CLI for printing stylish CSV tables in your terminal. Rows will be truncated to fit and it&amp;#039;ll automatically pick nice colors to match your terminal. Written in Zig. Demo:]]>
            </summary>
            <updated>2026-03-20T14:05:13+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11477</id>
            <title type="text"><![CDATA[Fast Table Viewer for Terminal]]></title>
            <link rel="alternate" href="https://github.com/codechenx/FastTableViewer" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11477"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A fast, feature-rich CSV/TSV/delimited file viewer for the command line.

`ftv` brings spreadsheet-like functionality to your terminal with vim-inspired controls.]]>
            </summary>
            <updated>2026-01-15T16:25:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10889</id>
            <title type="text"><![CDATA[Deepnote]]></title>
            <link rel="alternate" href="https://deepnote.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10889"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Analytics and data science notebook for teams. Jupyter notebook  for the AI era.

- Link Snowflake, BigQuery, CSVs, and 60+ data sources
- Write in Python, SQL, R — or just prompt Deepnote Agent
- Build powerful data apps and dashboards with AI

- [Deepnote @ GitHub](https://github.com/deepnote/deepnote).]]>
            </summary>
            <updated>2025-11-05T13:06:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10730</id>
            <title type="text"><![CDATA[SmoothCSV]]></title>
            <link rel="alternate" href="https://smoothcsv.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10730"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Ultimate CSV Editor.
SmoothCSV is a powerful and intuitive tool for editing CSV files.

SmoothCSV is a cross-platform CSV editor built for real work. Edit your files intuitively, exactly how you want. Lightning-fast performance, handles messy data, and powerful features like SQL queries. Just smooth CSV editing that works.

- [SmoothCSV @ GitHub](https://github.com/kohii/smoothcsv3).

Related contents:

- [SmoothCSV3 - Pour traiter vos fichiers CSV avec respect @ Korben :fr:](https://korben.info/smoothcsv-editeur-csv-rapide-vs-excel.html).]]>
            </summary>
            <updated>2025-10-20T09:40:03+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/398</id>
            <title type="text"><![CDATA[VisiData]]></title>
            <link rel="alternate" href="https://www.visidata.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/398"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open-source data multitool. Data exploration at your fingertips.

VisiData is an interactive multitool for tabular data. It combines the clarity of a spreadsheet, the efficiency of the terminal, and the power of Python, into a lightweight utility which can handle millions of rows with ease.

- [VisiData @ GitHub](https://github.com/saulpw/visidata).]]>
            </summary>
            <updated>2025-11-04T07:54:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/625</id>
            <title type="text"><![CDATA[CSV to HTML Table]]></title>
            <link rel="alternate" href="https://derekeder.github.io/csv-to-html-table/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/625"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🔽 Display any CSV (comma separated values) file as a searchable, filterable, pretty HTML table 

- [CSV to HTML Table @ GitHub](https://github.com/derekeder/csv-to-html-table).]]>
            </summary>
            <updated>2025-08-28T17:42:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/657</id>
            <title type="text"><![CDATA[OSV]]></title>
            <link rel="alternate" href="https://github.com/njaremko/osv" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/657"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[OSV is a high-performance CSV parser for Ruby, implemented in Rust. It wraps BurntSushi&amp;#039;s excellent csv-rs crate.

It provides a simple interface for reading CSV files with support for both hash-based and array-based row formats.

The array-based mode is faster than the hash-based mode, so if you don&amp;#039;t need the hash keys, use the array-based mode.]]>
            </summary>
            <updated>2025-08-28T17:47:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/754</id>
            <title type="text"><![CDATA[TextQuery]]></title>
            <link rel="alternate" href="https://textquery.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/754"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[All-in-One Desktop App to Analyze Data Locally.

TextQuery is an all-in-one desktop app to import, query, modify, and visualize your raw data with SQL.]]>
            </summary>
            <updated>2025-08-28T18:03:18+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/777</id>
            <title type="text"><![CDATA[CSVForge]]></title>
            <link rel="alternate" href="https://csvforge.com/#pricing" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/777"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Convert CSV &amp;amp; Excel to Clean, Structured Data — Instantly

Drop your files in. Get perfect JSON, XML, or CSV in seconds. No code, no setup — just fast, browser-based data conversion.]]>
            </summary>
            <updated>2025-08-28T18:07:19+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1105</id>
            <title type="text"><![CDATA[xan :fr:]]></title>
            <link rel="alternate" href="https://github.com/medialab/xan" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1105"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The CSV magician.

`xan` is a command line tool that can be used to process CSV files directly
from the shell.
It can easily preview, filter, slice, aggregate, sort, join CSV files,
and exposes a large collection of composable commands that can be chained
together to perform a wide variety of typical tasks.

Related contents:

- [Xan - Un outil surpuissant pour manipuler vos fichiers CSV en ligne de commande @ Korben :fr:](https://korben.info/xan-couteau-suisse-manipulation-csv-ligne-commande.html).]]>
            </summary>
            <updated>2025-08-28T19:00:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1531</id>
            <title type="text"><![CDATA[Visprex]]></title>
            <link rel="alternate" href="https://www.visprex.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1531"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Visualise your CSV files in seconds without sending your data anywhere.

- [Visprex documentation](https://docs.visprex.com/).
- [Visprex @ GitHub](https://github.com/visprex/visprex).]]>
            </summary>
            <updated>2025-08-28T20:11:27+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/1567</id>
            <title type="text"><![CDATA[Notybackup]]></title>
            <link rel="alternate" href="https://github.com/Drakonis96/notybackup" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1567"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Automated Notion CSV Backup.

Notion CSV Backup is a web application developed in Python that allows backing up data from a Notion database.
The application queries the Notion API, transforms the information into records, and exports them in CSV format.
Additionally, it maintains a backup history in a JSON file and enables scheduling automatic backups using APScheduler.]]>
            </summary>
            <updated>2025-08-28T20:17:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2996</id>
            <title type="text"><![CDATA[CSV SQL Tool]]></title>
            <link rel="alternate" href="https://csvsqltool.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2996"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Run SQL queries on CSV files directly in your browser. No data leaves your browser.
Fast, private, and easy to use.]]>
            </summary>
            <updated>2025-08-29T00:16:18+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/4897</id>
            <title type="text"><![CDATA[GlareDB]]></title>
            <link rel="alternate" href="https://glaredb.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4897"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Your Data Pipeline, Simplified.  GlareDB: An analytics DBMS for distributed data.

Data exists everywhere: your laptop, Postgres, Snowflake and as files in S3. It exists in various formats such as Parquet, CSV and JSON. Regardless, there will always be multiple steps spanning several destinations to get the insights you need.

GlareDB is designed to query your data wherever it lives using SQL that you already know.

- [GlareDB @ GitHub](https://github.com/GlareDB/glaredb)
- [What the Heck is GlareDB? @ HackerNoon](https://hackernoon.com/what-the-heck-is-glaredb).]]>
            </summary>
            <updated>2025-08-29T05:33:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4956</id>
            <title type="text"><![CDATA[trdsql]]></title>
            <link rel="alternate" href="https://noborus.github.io/trdsql/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4956"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[CLI tool that can execute SQL queries on CSV, LTSV, JSON and TBLN. Can output to various formats.

- [trdsql @ GitHub](https://github.com/noborus/trdsql).]]>
            </summary>
            <updated>2025-11-04T07:56:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5060</id>
            <title type="text"><![CDATA[qsv]]></title>
            <link rel="alternate" href="https://github.com/jqnatividad/qsv" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5060"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[CSVs sliced, diced &amp;amp; analyzed. 

qsv (pronounced &amp;quot;Quicksilver&amp;quot;) is a command line program for indexing, slicing, analyzing, filtering, enriching, validating &amp;amp; joining CSV files.]]>
            </summary>
            <updated>2025-08-29T06:00:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5872</id>
            <title type="text"><![CDATA[Mockaroo]]></title>
            <link rel="alternate" href="https://mockaroo.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5872"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Random Data Generator and API Mocking Tool (JSON / CSV / SQL / Excel).

Need some mock data to test your app? Mockaroo lets you generate up to 1,000 rows of realistic test data in CSV, JSON, SQL, and Excel formats.]]>
            </summary>
            <updated>2025-08-29T08:16:34+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>
            <entry>
            <id>https://links.biapy.com/links/6249</id>
            <title type="text"><![CDATA[Miller]]></title>
            <link rel="alternate" href="https://github.com/johnkerl/miller" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6249"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Miller is like awk, sed, cut, join, and sort for data formats such as CSV, TSV, JSON, JSON Lines, and positionally-indexed.]]>
            </summary>
            <updated>2025-08-29T09:19:03+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6524</id>
            <title type="text"><![CDATA[JSON Crack]]></title>
            <link rel="alternate" href="https://jsoncrack.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6524"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Crack your data into pieces.
Seamlessly visualize your JSON data instantly into graphs.

✨ Innovative and open-source visualization application that transforms various data formats, such as JSON, YAML, XML, CSV and more, into interactive graphs. 

- [JSON Crack @ GitHub](https://github.com/AykutSarac/jsoncrack.com).]]>
            </summary>
            <updated>2026-02-04T07:42:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6719</id>
            <title type="text"><![CDATA[Konbert]]></title>
            <link rel="alternate" href="https://konbert.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6719"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open big JSON, CSV Files: Online Viewer, Explorer and Converter.
View and convert big data files.
View large or small files right in your browser and export them in any format.]]>
            </summary>
            <updated>2025-08-29T10:37:51+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6950</id>
            <title type="text"><![CDATA[yq]]></title>
            <link rel="alternate" href="https://github.com/mikefarah/yq" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6950"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[yq is a portable command-line YAML, JSON, XML, CSV and properties processor.

a lightweight and portable command-line YAML, JSON and XML processor. yq uses jq like syntax but works with yaml files as well as json, xml, properties, csv and tsv. It doesn&amp;#039;t yet support everything jq does - but it does support the most common operations and functions, and more is being added continuously.

yq is written in go - so you can download a dependency free binary for your platform and you are good to go!]]>
            </summary>
            <updated>2025-08-29T11:16:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8120</id>
            <title type="text"><![CDATA[php-export-data]]></title>
            <link rel="alternate" href="https://github.com/elidickinson/php-export-data" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8120"/>
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                <name><![CDATA[Biapy]]></name>
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            <summary type="text">
                <![CDATA[PHP class to export data in CSV, TSV, or Excel XML (aka SpreadsheeML) format to a file or directly to the browser]]>
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            <updated>2025-08-29T14:31:59+00:00</updated>
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            <entry>
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            <title type="text"><![CDATA[PHPOffice/PHPExcel]]></title>
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            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8361"/>
            <author>
                <name><![CDATA[Biapy]]></name>
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            <summary type="text">
                <![CDATA[A pure PHP library for reading and writing spreadsheet files]]>
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            <updated>2025-08-29T15:12:21+00:00</updated>
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            <entry>
            <id>https://links.biapy.com/links/8467</id>
            <title type="text"><![CDATA[TextQL]]></title>
            <link rel="alternate" href="https://github.com/dinedal/textql" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8467"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Allows you to easily execute SQL against structured text like CSV or TSV.]]>
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            <updated>2025-08-29T15:28:36+00:00</updated>
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