FlatPack - CSV/Tab Delimited and Fixed Length Parser and Writer

•    Java

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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.

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node-csv-parse - CSV parsing implementing the Node.js `stream.Transform` API

•    CoffeeScript

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Part of the CSV module, this project is a parser converting CSV text input into arrays or objects. It implements the Node.js stream.Transform API. It also provides a simple callback-based API for convenience. It is both extremely easy to use and powerful. It was first released in 2010 and is used against big data sets by a large community. Documentation for the "csv-parse" package is available here.

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node-csvtojson - Blazing fast and Comprehensive CSV Parser for Node.JS / Browser / Command Line.

•    TypeScript

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Here is a free online csv to json convert service utilizing latest csvtojson module. csvtojson has released version 2.0.0.

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Opencsv - Easy-to-use CSV (comma-separated values) parser library for Java

•    Java

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Opencsv is an easy-to-use CSV (comma-separated values) parser library for Java. Opencsv supports all the basic CSV-type things like Arbitrary numbers of values per line, Ignoring commas in quoted elements, Configurable separator and quote characters and lot more.

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node-csv - Full featured CSV parser with simple api and tested against large datasets.

•    Javascript

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This project provides CSV generation, parsing, transformation and serialization for Node.js. It has been tested and used by a large community over the years and should be considered reliable. It provides every option you would expect from an advanced CSV parser and stringifier.

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JavaCSV - Java CSV Library

•    Java

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Java CSV is a small fast open source java library for reading and writing CSV and plain delimited text files. All kinds of CSV files can be handled, text qualified, Excel formatted, etc.

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CSV.js - A simple, blazing-fast CSV parser and encoder. Full RFC 4180 compliance.

•    Javascript

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Simple, blazing-fast CSV parsing/encoding in JavaScript. Full RFC 4180 compliance. Compatible with browsers (>IE8), AMD, and NodeJS.

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ServiceStack text - NET's fastest JSON, JSV and CSV Text Serializers

•    CSharp

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ServiceStack.Text is an independent, dependency-free serialization library that contains ServiceStack's text processing functionality, including: JsonSerializer, TypeSerializer (JSV-Format), CsvSerializer, T.Dump extension method, StringExtensions - Xml/Json/Csv/Url encoding, BaseConvert, Rot13, Hex escape, etc., Stream, Reflection, List, DateTime, etc extensions and utils.

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stream-parser - ⚡ PHP7 / Laravel Multi-format Streaming Parser

•    PHP

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DOM loading: loads all the document, making it easy to navigate and parse, and as such provides maximum flexibility for developers. Streaming: implies iterating through the document, acts like a cursor and stops at each element in its way, thus avoiding memory overkill.

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csv-parser - Streaming csv parser inspired by binary-csv that aims to be faster than everyone else

•    Javascript

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csv-parser can convert CSV into JSON at at rate of around 90,000 rows per second (perf varies with data, try bench.js with your data).The data emitted is a normalized JSON object. Each header is used as the property name of the object.

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CSVeed - Light-weight, easy-to-use Java-based CSV utility

•    Java

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CSVeed is a Java library for reading Comma Separated Value (CSV) files and exposing those either as Rows or Java Beans. It is a Java toolkit for mapping CSV-to-Bean mapping and vice versa.

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Simplecsv - CSV parser for Java, based on the OpenCSV

•    Java

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A simple library for parsing CSV in Java, based on the OpenCSV library. After trying unsuccessfully to fix some of the key bugs in OpenCSV, I concluded that the core of the library -- the CSVParser -- was too complicated a patchwork to salvage. I decided to rewrite it. That effort led to forking the project entirely, with the primary intent of simplifying the parser code, but keeping it fast and generally in the spirit of the OpenCSV library.

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Text-Field Parser for Windows Phone

•    

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Text-Field Parser for Windows Phone is an analog of the Microsoft VisualBasic IO Text-Field Parser but designed to run on Windows Phone. The project was created specifically for another code project product, GTFS SQL Library for Windows Phone, and thus has only been impleme...

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RecordEditor

•    Java

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Editor for Fixed Width, Csv and Existing Xml files.

csv-schema - Analyzes a CSV file and generates database table schema, all within the browser

•    Javascript

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This application parses CSV files (including huge ones) within the browser. It analyzes each field to suggest the best database field type, max length, and whether or not there are any null values. From there, you can rename fields, ignore them, override field types/lengths, etc. and generate database table creation sql for MySQL, MariaDB, Postres, Oracle, or SQLite3. This application uses PapaParse for CSV parsing and Knex.js for SQL query building.

Detect.js - :mag: Library to detect browser, os and device based on the UserAgent String

•    Javascript

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❗️ NOTE: THIS PLUGIN IS NO LONGER MAINTAINED. If you encounter a bug then you're probably on your own. Try Bowser as an alternative. Note: Detect.js is a JavaScript library to detect platforms, versions, manufacturers and types based on the navigator.userAgent string. This code is based on, and modified from, the original work of Tobie Langel's UA-Parser: https://github.com/tobie/ua-parser. UA-Parser is subsequently a port of BrowserScope's user agent string parser.

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structured-text-tools - A list of command line tools for manipulating structured text data

•    

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The following is a list of text-based file formats and command line tools for manipulating each. Delimiter-separated values, including CSV, TSV, etc.

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readr - Read flat files (csv, tsv, fwf) into R

•    R

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The goal of readr is to provide a fast and friendly way to read rectangular data (like csv, tsv, and fwf). It is designed to flexibly parse many types of data found in the wild, while still cleanly failing when data unexpectedly changes. If you are new to readr, the best place to start is the data import chapter in R for data science. To accurately read a rectangular dataset with readr you combine two pieces: a function that parses the overall file, and a column specification. The column specification describes how each column should be converted from a character vector to the most appropriate data type, and in most cases it's not necessary because readr will guess it for you automatically.

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url-parse - Small footprint URL parser that works seamlessly across Node

•    Javascript

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The url-parse method exposes two different API interfaces. The url interface that you know from Node.js and the new URL interface that is available in the latest browsers.In version 0.1 we moved from a DOM based parsing solution, using the <a> element, to a full Regular Expression solution. The main reason for this was to make the URL parser available in different JavaScript environments as you don't always have access to the DOM. An example of such environment is the Worker interface. The RegExp based solution didn't work well as it required a lot of lookups causing major problems in FireFox. In version 1.0.0 we ditched the RegExp based solution in favor of a pure string parsing solution which chops up the URL into smaller pieces. This module still has a really small footprint as it has been designed to be used on the client side.

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threads.js - Easy to use, yet powerful multi-threading library for node.js and the browser.

•    Javascript

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Javascript thread library. Uses web workers when run in browsers and child processes when run by node.js. Also supports browsers which do not support web workers.You don't have to write the thread's code inline. The file is expected to be a commonjs module (so something that uses module.exports = ...), for node and browser.

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