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The csv npm package is a comprehensive library for parsing and handling CSV data in Node.js. It provides a range of tools for reading, writing, transforming, and streaming CSV data, making it a versatile choice for developers working with CSV files in JavaScript.
Parsing CSV
This feature allows you to parse CSV data into arrays or objects. The code sample demonstrates how to parse a simple CSV string.
"use strict";
const parse = require('csv-parse');
const assert = require('assert');
const input = 'a,b,c\nd,e,f';
parse(input, function(err, output){
assert.deepEqual(
output,
[['a', 'b', 'c'], ['d', 'e', 'f']]
);
});
Stringifying CSV
This feature allows you to convert arrays or objects into CSV strings. The code sample shows how to stringify an array of arrays into a CSV string.
"use strict";
const stringify = require('csv-stringify');
const assert = require('assert');
const input = [['a', 'b', 'c'], ['d', 'e', 'f']];
stringify(input, function(err, output){
assert.equal(
output,
'a,b,c\nd,e,f\n'
);
});
Transforming Data
This feature allows you to apply a transformation to the CSV data. The code sample demonstrates how to convert all the values in the CSV to uppercase.
"use strict";
const transform = require('stream-transform');
const assert = require('assert');
const input = [['a', 'b', 'c'], ['d', 'e', 'f']];
const transformer = transform(function(record, callback){
callback(null, record.map(value => value.toUpperCase()));
});
transformer.write(input[0]);
transformer.write(input[1]);
transformer.end();
const output = [];
transformer.on('readable', function(){
let row;
while ((row = transformer.read()) !== null) {
output.push(row);
}
});
transformer.on('end', function(){
assert.deepEqual(
output,
[['A', 'B', 'C'], ['D', 'E', 'F']]
);
});
Streaming API
This feature provides a streaming API for working with large CSV files without loading the entire file into memory. The code sample demonstrates how to read a CSV file as a stream and parse it.
"use strict";
const fs = require('fs');
const parse = require('csv-parse');
const parser = parse({columns: true});
const input = fs.createReadStream('/path/to/input.csv');
input.pipe(parser);
parser.on('readable', function(){
let record;
while ((record = parser.read()) !== null) {
// Work with each record
}
});
parser.on('end', function(){
// Handle end of parsing
});
PapaParse is a robust and powerful CSV parser for JavaScript with a similar feature set to csv. It supports browser and server-side parsing, auto-detection of delimiters, and streaming large files. Compared to csv, PapaParse is known for its ease of use and strong browser-side capabilities.
fast-csv is another popular CSV parsing and formatting library for Node.js. It offers a simple API, flexible parsing options, and support for streams. While csv provides a comprehensive set of tools for various CSV operations, fast-csv focuses on performance and ease of use for common tasks.
_ _ _ _____ _______ __ | \ | | | | / ____|/ ____\ \ / / | \| | ___ __| | ___ | | | (___ \ \ / / | . ` |/ _ \ / _` |/ _ \| | \___ \ \ \/ / | |\ | (_) | (_| | __/| |____ ____) | \ / |_| \_|\___/ \__,_|\___| \_____|_____/ \/ New BSD License
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.
The csv
package is itself split into 4 packages:
csv-generate
,
a flexible generator of CSV string and Javascript objects.
csv-parse
,
a parser converting CSV text into arrays or objects.
stream-transform
,
a transformation framework.
csv-stringify
,
a stringifier converting records into a CSV text.
The full documentation for the current version 0.4 is available here while the previous documentation is still available here.
Installation command is npm install csv
.
Each package is fully compatible with the stream 2 and 3 specifications. Also, a simple callback-based API is always provided for convenience.
Execute this script with the command node samples/callback.js
.
var csv = require('csv');
csv.generate({seed: 1, columns: 2, length: 20}, function(err, data){
csv.parse(data, function(err, data){
csv.transform(data, function(data){
return data.map(function(value){return value.toUpperCase()});
}, function(err, data){
csv.stringify(data, function(err, data){
process.stdout.write(data);
});
});
});
});
Execute this script with the command node samples/stream.js
.
var csv = require('csv');
var generator = csv.generate({seed: 1, columns: 2, length: 20});
var parser = csv.parse();
var transformer = csv.transform(function(data){
return data.map(function(value){return value.toUpperCase()});
});
var stringifier = csv.stringify();
generator.on('readable', function(){
while(data = generator.read()){
parser.write(data);
}
});
parser.on('readable', function(){
while(data = parser.read()){
transformer.write(data);
}
});
transformer.on('readable', function(){
while(data = transformer.read()){
stringifier.write(data);
}
});
stringifier.on('readable', function(){
while(data = stringifier.read()){
process.stdout.write(data);
}
});
Execute this script with the command node samples/pipe.js
.
var csv = require('csv');
csv.generate({seed: 1, columns: 2, length: 20})
.pipe(csv.parse())
.pipe(csv.transform(function(record){
return record.map(function(value){
return value.toUpperCase()
});
}))
.pipe(csv.stringify ())
.pipe(process.stdout);
This parent project doesn't have tests itself but instead delegates the tests to its child projects.
Read the documentation of the child projects for addionnal information.
FAQs
A mature CSV toolset with simple api, full of options and tested against large datasets.
The npm package csv receives a total of 943,438 weekly downloads. As such, csv popularity was classified as popular.
We found that csv demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
Did you know?
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