Search Results for "processing"

qsv is a fast, command-line CSV data toolkit written in Rust that extends the capabilities of xsv. It’s designed to make working with CSV files at scale easy and efficient, offering over 40 powerful subcommands for tasks like querying, sampling, splitting, deduplicating, and more. qsv is ideal for data engineers, analysts, and developers who need high-performance CSV manipulation on the command line.

A high-performance Node.js library for parsing and formatting CSV data efficiently.

...It offers a straightforward API for handling common CSV operations, including parsing data, writing rows, and formatting output. The library is designed to handle large datasets efficiently, making it a reliable choice for data processing tasks in web applications.

This CSV and TXT file splitter firstly allows you to work with large data files. We have tested this on the largest CSV file we could find. It had over 25.6 Million rows. Microsoft Excel can only load 1 Million rows. So the challenege was on! Splitting a file in this case by 990,000 rows made sure that it was more than capable to load into excel. Splitting 25.6Million rows took aroud 50 minutes. Has been tested reading 25Million rows which took around 15 seconds to read. Its...

FTEditor is an editor for Fielded Text files (see http://www.fieldedtext.org). It lets you visually and interactively create and edit the Meta for a Fielded Text file. It also lets you edit a Fielded Text file with a simultaneous text and grid view.

Simple Java delimited and fixed width file parser. Handles CSV, Excel CSV, Tab, Pipe delimiters, just to name a few. Maps column positions in the file to user friendly names via XML. See "FlatPack Feature List" under News for complete feature list.

- Easy XML/SOAP sending for implementation tests - Batch preview function - Monitoring feature preview - Support different WEB services in one application Installer is currently not set. But you can use the Windows Application control to deinstall the Software. The basefolder is located at \Users\<Username>\SendEngine - this Folder will not be deleted after Deinstallation of the sofware. Starting SendEngine first create a WebService Folder. This service may contain multible...

This software allows for a user to generate test data. This is useful for testing Hadoop or other data processing clusters.

A CSV editor written in Java 1.6 Developed using NetBeans IDE 6.0.1

Java library for reading and writing of flat files. CSV, FLR (fixed length record) or mixed structures. Tree-style processing API. Adapters for SAX, Stax and XStream for transformation, data binding or serialization.