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Introducing Enhanced Alert Actions and Triage Functionality
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csv-stringify
Advanced tools
Package description
The csv-stringify npm package is a module that provides the ability to convert arrays or objects into a CSV (Comma-Separated Values) string. It can be used to generate CSV files or strings from JavaScript data structures, supporting both the Node.js stream API and a simple callback-based API.
Stringifying an array of records
This feature allows you to convert an array of arrays (representing records) into a CSV string. Each sub-array is a row in the CSV output.
const stringify = require('csv-stringify');
const records = [['1', '2', '3'], ['a', 'b', 'c']];
stringify(records, (err, output) => {
if (err) throw err;
console.log(output);
});
Stringifying from a stream
This feature demonstrates how to use csv-stringify with Node.js streams. Data can be piped into the stringify function, which then outputs a CSV formatted stream.
const stringify = require('csv-stringify');
const { Readable } = require('stream');
const records = new Readable({
objectMode: true,
read() {}
});
records.push(['1', '2', '3']);
records.push(['a', 'b', 'c']);
records.push(null);
records.pipe(stringify()).pipe(process.stdout);
Stringifying objects with column headers
This feature allows you to convert an array of objects into a CSV string, including column headers as the first row in the output.
const stringify = require('csv-stringify');
const records = [{ id: '1', name: 'John Doe' }, { id: '2', name: 'Jane Doe' }];
stringify(records, { header: true }, (err, output) => {
if (err) throw err;
console.log(output);
});
PapaParse is a robust and powerful CSV (character-separated values) parser with a focus on ease of use and performance. It can parse CSV files or strings, convert them to JSON, and provide many advanced features like auto-detection of delimiters. Compared to csv-stringify, PapaParse offers both parsing and stringifying capabilities, whereas csv-stringify is focused only on stringifying.
fast-csv is an npm package that provides parsing and formatting capabilities for CSV data. It is designed to be fast and flexible, allowing for both stream and callback-based APIs. While csv-stringify is specifically for stringifying JavaScript data into CSV format, fast-csv offers both parsing and formatting, making it a more comprehensive solution for working with CSV data.
Readme
The csv-stringify
package is a stringifier converting records into a CSV text and
implementing the Node.js stream.Transform
API. It also provides the easier
synchronous and callback-based APIs for conveniency. It is both extremely easy
to use and powerful. It was first released in 2010 and is tested against big
data sets by a large community.
csv-generate
, csv-parse
and stream-transform
Run npm install csv
to install the full CSV module or run npm install csv-stringify
if you are only interested by the CSV stringifier.
The module is built on the Node.js Stream API. Use the callback and sync APIs for simplicity or the stream based API for scalability.
The API is available in multiple flavors. This example illustrates the sync API.
import { stringify } from 'csv-stringify/sync';
import assert from 'assert';
const output = stringify([
[ '1', '2', '3', '4' ],
[ 'a', 'b', 'c', 'd' ]
]);
assert.equal(output, '1,2,3,4\na,b,c,d\n');
Tests are executed with mocha. To install it, run npm install
followed by npm test
. It will install mocha and its dependencies in your project "node_modules"
directory and run the test suite. The tests run against the CoffeeScript source
files.
To generate the JavaScript files, run npm run build
.
The test suite is run online with Travis. See the Travis definition file to view the tested Node.js version.
The project is sponsored by Adaltas, an Big Data consulting firm based in Paris, France.
FAQs
CSV stringifier implementing the Node.js `stream.Transform` API
The npm package csv-stringify receives a total of 2,759,646 weekly downloads. As such, csv-stringify popularity was classified as popular.
We found that csv-stringify demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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