Search Results for "data processing"
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Showing 8 open source projects for "data processing"
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Fast CSV
CSV parser and formatter for node
A high-performance Node.js library for parsing and formatting CSV data efficiently. -
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QSV
Blazing-fast Data-Wrangling toolkit
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. -
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League CSV
CSV data manipulation made easy in PHP
The PHP League CSV is a PHP library for reading, writing, and manipulating CSV files. 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. -
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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.
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A set of Unix command line tools for quick and convenient batch processing of tabular text files (a.k.a., tab-delimited, csv, or flat file format) with a header line. Provides delimiter and compression detection, column reference by name. * tblmap: per-line ("map") computation: derive columns through an expression, delete, reorder, filter rows. * tblred: compute ("reduce") aggregations (e.g., sum, average) over groups defined by key columns. * tbldesc: Summarize columns in file...
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This software allows for a user to generate test data. This is useful for testing Hadoop or other data processing clusters.
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A CSV editor written in Java 1.6 Developed using NetBeans IDE 6.0.1
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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.
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