csv-stringify vs papaparse vs fast-csv vs csv-parser vs csvtojson vs node-csv
CSV Parsing and Stringifying Libraries Comparison
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csv-stringifypapaparsefast-csvcsv-parsercsvtojsonnode-csvSimilar Packages:
What's CSV Parsing and Stringifying Libraries?

These libraries provide various functionalities for parsing CSV (Comma-Separated Values) data and converting it into usable formats, as well as stringifying objects into CSV format. They are essential for handling data in web applications, especially when dealing with data import/export functionalities, data manipulation, and integration with other systems. Each library has its own strengths, performance characteristics, and use cases, making it important to choose the right one based on specific project requirements.

Package Weekly Downloads Trend
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Package
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csv-stringify4,445,6374,111916 kB513 months agoMIT
papaparse3,587,37812,805263 kB207a month agoMIT
fast-csv2,499,9561,6967.03 kB544 months agoMIT
csv-parser1,202,9771,44229.5 kB56a month agoMIT
csvtojson891,4872,023-1266 years agoMIT
node-csv15,429---13 years ago-
Feature Comparison: csv-stringify vs papaparse vs fast-csv vs csv-parser vs csvtojson vs node-csv

Performance

  • csv-stringify:

    csv-stringify is optimized for converting data to CSV quickly, making it suitable for applications that need to generate CSV files rapidly without sacrificing performance.

  • papaparse:

    papaparse is optimized for client-side performance, allowing for fast parsing of large CSV files without blocking the main thread, thanks to its use of web workers.

  • fast-csv:

    fast-csv is built for speed and can handle large datasets efficiently, both for parsing and stringifying, making it ideal for real-time data processing applications.

  • csv-parser:

    csv-parser is designed for high performance, especially with large files, as it streams data and processes it on-the-fly, minimizing memory usage and maximizing speed.

  • csvtojson:

    csvtojson is efficient in converting CSV to JSON, but its performance can vary based on the complexity of the CSV structure and the transformations applied during conversion.

  • node-csv:

    node-csv provides a balance of performance and flexibility, but may not be as fast as specialized libraries for specific tasks like streaming or bulk processing.

Streaming Support

  • csv-stringify:

    csv-stringify also supports streaming, enabling you to generate CSV output incrementally, which is useful for large datasets or when integrating with other data streams.

  • papaparse:

    papaparse supports streaming for parsing large files, allowing you to handle data in chunks, which is beneficial for client-side applications.

  • fast-csv:

    fast-csv provides robust streaming capabilities for both parsing and stringifying, making it an excellent choice for applications that require real-time data processing.

  • csv-parser:

    csv-parser supports streaming, allowing you to process large CSV files line by line without loading the entire file into memory, which is crucial for handling big data.

  • csvtojson:

    csvtojson supports streaming input, making it efficient for converting large CSV files to JSON format without excessive memory usage, but it does not support streaming output.

  • node-csv:

    node-csv supports both parsing and stringifying in a streaming manner, but it may require additional configuration to optimize for large datasets.

Ease of Use

  • csv-stringify:

    csv-stringify offers a simple and intuitive API for converting data to CSV, making it easy to implement in projects without a steep learning curve.

  • papaparse:

    papaparse is known for its simplicity and ease of use, especially in client-side applications, making it a favorite among developers for quick implementations.

  • fast-csv:

    fast-csv strikes a good balance between usability and functionality, offering a clear API that is easy to work with while still providing advanced features for more complex use cases.

  • csv-parser:

    csv-parser has a straightforward API that is easy to use for basic CSV parsing tasks, making it accessible for developers of all skill levels.

  • csvtojson:

    csvtojson provides a user-friendly interface for converting CSV to JSON, with options for customization that are easy to understand and apply.

  • node-csv:

    node-csv has a more extensive API that may require a bit more time to learn, but it offers great flexibility and control over CSV processing.

Feature Set

  • csv-stringify:

    csv-stringify is dedicated to converting data to CSV format, providing a rich set of options for formatting and customizing the output.

  • papaparse:

    papaparse offers a rich feature set for parsing, including support for headers, dynamic typing, and error handling, making it suitable for a variety of use cases.

  • fast-csv:

    fast-csv offers both parsing and stringifying capabilities, along with a variety of configuration options, making it a comprehensive solution for CSV handling.

  • csv-parser:

    csv-parser focuses on efficient parsing and does not include stringifying capabilities, making it specialized for reading CSV data.

  • csvtojson:

    csvtojson excels in converting CSV to JSON and includes features like custom delimiters and transformation functions, making it versatile for various data formats.

  • node-csv:

    node-csv provides a wide range of features for both parsing and stringifying, including support for custom delimiters and advanced parsing options, making it highly configurable.

Community and Support

  • csv-stringify:

    csv-stringify benefits from a strong community and extensive documentation, providing ample resources for developers.

  • papaparse:

    papaparse has a large community and extensive documentation, making it easy to find examples and support for various use cases.

  • fast-csv:

    fast-csv has an active community and is well-maintained, ensuring that developers can find help and updates as needed.

  • csv-parser:

    csv-parser has a growing community and is well-documented, making it easy to find support and resources for troubleshooting.

  • csvtojson:

    csvtojson has a decent community and documentation, but may not be as extensive as some of the more popular libraries.

  • node-csv:

    node-csv has a solid user base and documentation, but may not have as many active contributors as some other libraries.

How to Choose: csv-stringify vs papaparse vs fast-csv vs csv-parser vs csvtojson vs node-csv
  • csv-stringify:

    Select csv-stringify if you need to convert JavaScript objects or arrays into CSV format. It offers a straightforward API and is particularly useful for generating CSV files from data structures.

  • papaparse:

    Choose papaparse for its versatility and ease of use, especially in client-side applications. It provides features like web worker support for parsing large files without blocking the UI.

  • fast-csv:

    Use fast-csv for a balanced approach that offers both parsing and stringifying capabilities with a focus on performance. It is suitable for processing large CSV files in a streaming manner, making it efficient for real-time applications.

  • csv-parser:

    Choose csv-parser for its simplicity and performance when you need a fast and efficient way to parse CSV files into JavaScript objects. It is ideal for large datasets and streaming data processing.

  • csvtojson:

    Opt for csvtojson if you require a robust solution that can handle various CSV formats and convert them directly into JSON. It supports advanced features like custom delimiters and transformation functions.

  • node-csv:

    Consider node-csv if you need a comprehensive library that provides both parsing and stringifying functionalities along with extensive configuration options. It is well-suited for complex CSV handling scenarios.

Similar Npm Packages to csv-stringify

csv-stringify is an npm package that allows developers to convert JavaScript objects and arrays into CSV (Comma-Separated Values) format. This package is particularly useful for generating CSV files from data structures, making it easier to export data for use in spreadsheets or for data interchange between systems. Its flexibility and ease of use make it a popular choice among developers who need to handle CSV data.

While csv-stringify is a robust solution for CSV generation, there are several alternatives available that offer similar functionalities. Here are a few noteworthy options:

  • fast-csv is a powerful and flexible library for parsing and formatting CSV data in Node.js. It is designed for speed and efficiency, making it suitable for handling large datasets. Fast-csv provides a simple API for both reading and writing CSV files, allowing developers to easily integrate CSV handling into their applications. If performance is a critical factor in your project, fast-csv is an excellent choice due to its optimized processing capabilities.

  • json2csv is another popular library that converts JSON data into CSV format. It is particularly useful for developers who need to transform JSON objects or arrays into a CSV representation. json2csv offers a variety of options for customizing the output, including specifying headers, flattening nested objects, and more. If your primary need is to convert JSON data into CSV, json2csv provides a straightforward and effective solution.

  • papaparse is a versatile library for parsing and stringifying CSV data in both Node.js and the browser. It is known for its ease of use and ability to handle large files efficiently. PapaParse supports streaming, which allows for processing large datasets without consuming excessive memory. Additionally, it provides features like automatic type detection and error handling, making it a great choice for developers looking for a comprehensive CSV solution.

To explore how csv-stringify compares with fast-csv, json2csv, and papaparse, check out the comparison link: Comparing csv-stringify vs fast-csv vs json2csv vs papaparse.

Similar Npm Packages to papaparse

papaparse is a powerful and easy-to-use library for parsing and converting CSV (Comma-Separated Values) data in JavaScript applications. It provides a simple API for both parsing CSV strings and files, as well as for converting JavaScript objects into CSV format. With features like streaming, error handling, and support for various delimiters, papaparse is a popular choice for developers looking to work with CSV data in web applications.

While papaparse is a robust solution, there are several alternatives available that also cater to CSV parsing and manipulation. Here are a few noteworthy options:

  • csv-parse is a part of the csv package and provides a powerful and flexible way to parse CSV data in Node.js. It supports a wide range of options for customizing the parsing process, including handling different delimiters, quote characters, and more. If you need a library that offers extensive configuration options and is well-suited for server-side applications, csv-parse is an excellent choice.

  • csv-parser is a fast and efficient streaming CSV parser for Node.js. It is designed to handle large CSV files without consuming excessive memory, making it ideal for processing big datasets. With a simple API and support for various parsing options, csv-parser is a great option when performance is a critical factor in your application.

  • fast-csv is another library for parsing and formatting CSV data in Node.js. It provides both a parser and a formatter, allowing you to easily read from and write to CSV files. fast-csv is known for its speed and efficiency, making it suitable for applications that require high-performance CSV processing.

To see how papaparse compares with csv-parse, csv-parser, and fast-csv, check out the comparison: Comparing csv-parse vs csv-parser vs fast-csv vs papaparse.

Similar Npm Packages to fast-csv

fast-csv is a powerful and flexible CSV parsing and formatting library for Node.js. It is designed to handle large CSV files efficiently, allowing developers to read, write, and transform CSV data with ease. Fast-csv provides a simple API and supports various features such as custom delimiters, headers, and streaming, making it a popular choice for applications that require CSV processing. While fast-csv is an excellent option, there are several alternatives in the ecosystem that also provide CSV parsing and formatting capabilities. Here are a few notable ones:

  • csv-parse is a part of the csv package and focuses specifically on parsing CSV data. It is highly configurable, allowing developers to specify options such as delimiters, quote characters, and headers. csv-parse is suitable for applications that require fine-tuned control over the parsing process and is often used in conjunction with other modules in the csv package for complete CSV handling.
  • csv-parser is a fast and efficient streaming CSV parser for Node.js. It is designed to handle large datasets without consuming excessive memory, making it ideal for applications that need to process large CSV files. csv-parser provides a simple API and supports various features such as custom delimiters and headers, making it a great choice for developers looking for a lightweight and efficient solution.
  • papaparse is a popular CSV parsing library that works in both Node.js and the browser. It is known for its ease of use and powerful features, including support for parsing large files, handling malformed CSV data, and providing a callback-based API. papaparse is particularly useful for web applications that need to handle CSV data on the client side, making it a versatile option for both server and client-side CSV processing.

To explore how fast-csv compares with csv-parse, csv-parser, and papaparse, check out the comparison: Comparing csv-parse vs csv-parser vs fast-csv vs papaparse.

Similar Npm Packages to csv-parser

csv-parser is a fast and efficient Node.js library designed for parsing CSV (Comma-Separated Values) data. It allows developers to read and process CSV files easily, converting them into JavaScript objects for further manipulation. While csv-parser is a robust solution for handling CSV data, there are several alternatives available in the Node.js ecosystem. Here are a few noteworthy options:

  • csv-parse is a part of the csv package family and provides a powerful and flexible way to parse CSV data. It offers a wide range of configuration options, allowing developers to customize the parsing process according to their needs. With support for various delimiters, headers, and data types, csv-parse is suitable for more complex CSV parsing scenarios. If you require advanced features and customization, csv-parse is a great choice.
  • fast-csv is another popular library for parsing and formatting CSV data in Node.js. It is designed for speed and efficiency, making it ideal for processing large CSV files. fast-csv provides a simple API for both parsing and formatting, allowing developers to easily convert CSV data to and from JavaScript objects. If performance is a key concern in your application, fast-csv is worth considering.
  • papaparse is a powerful CSV parsing library that works both in the browser and in Node.js. It is known for its ease of use and versatility, providing features like asynchronous parsing, streaming, and support for large files. papaparse is particularly useful for web applications that need to handle CSV data, making it a popular choice among front-end developers. If you need a library that works seamlessly across different environments, papaparse is an excellent option.

To see how csv-parser compares with csv-parse, fast-csv, and papaparse, check out the comparison: Comparing csv-parse vs csv-parser vs fast-csv vs papaparse.

Similar Npm Packages to csvtojson

csvtojson is a popular npm package that allows developers to convert CSV (Comma-Separated Values) files into JSON (JavaScript Object Notation) format easily. This package is particularly useful for applications that need to process CSV data, as it provides a straightforward API for reading CSV files and transforming them into a more manageable JSON structure. With features like customizable parsing options and support for large files, csvtojson is a reliable choice for developers working with CSV data.

However, there are several alternatives available in the npm ecosystem that also provide CSV parsing capabilities. Here are a few noteworthy options:

  • csv-parser is a fast and efficient CSV parsing library for Node.js. It is designed to be simple and lightweight, making it an excellent choice for developers who need to parse CSV files quickly without the overhead of additional features. csv-parser streams the data, which allows for processing large files without consuming excessive memory. If performance is a priority and you need a no-frills solution, csv-parser is a great option.

  • fast-csv is another powerful CSV parsing library that focuses on performance and flexibility. It provides both parsing and formatting capabilities, allowing developers to read and write CSV files with ease. fast-csv supports streaming, custom delimiters, and various options for handling headers and transformations. If you need a versatile library that can handle both reading and writing CSV data, fast-csv is worth considering.

  • papaparse is a robust CSV parsing library that works in both Node.js and the browser. It is known for its speed and ease of use, making it a popular choice for web applications that need to handle CSV data. papaparse offers features such as asynchronous parsing, support for large files, and the ability to handle malformed CSV data gracefully. If you are looking for a library that can be used in both server-side and client-side environments, papaparse is an excellent choice.

To see how csvtojson compares with csv-parser, fast-csv, and papaparse, check out the comparison: Comparing csv-parser vs csvtojson vs fast-csv vs papaparse.

Similar Npm Packages to node-csv

node-csv is a versatile CSV parsing and stringifying library for Node.js applications. It provides a simple and efficient way to read and write CSV data, making it easier for developers to handle CSV files in their applications. While node-csv is a robust choice for CSV handling, there are several alternatives in the Node.js ecosystem that offer similar functionality. Here are a few notable options:

  • csv-parser is a fast and efficient CSV parsing library for Node.js. It is designed to handle large CSV files with minimal memory usage, making it an excellent choice for performance-critical applications. With a simple API, csv-parser allows developers to stream CSV data directly into their applications, making it ideal for processing large datasets without loading everything into memory at once.

  • csv-stringify is a companion library to csv-parser, specifically designed for converting JavaScript objects into CSV format. It offers a flexible API that allows developers to customize the output, including specifying headers, delimiters, and more. If you need to generate CSV files from data in your application, csv-stringify is a great choice that pairs well with csv-parser.

  • csvtojson is a powerful library that converts CSV data into JSON format. It is particularly useful when working with APIs or applications that require data in JSON format. csvtojson supports various CSV configurations and can handle complex CSV structures, making it a versatile tool for data transformation.

  • fast-csv is another high-performance CSV parsing and stringifying library for Node.js. It provides both parsing and stringifying capabilities with a focus on speed and efficiency. fast-csv is designed to handle large files and streams, making it suitable for applications that require quick processing of CSV data.

  • papaparse is a popular CSV parsing library that works both in Node.js and in the browser. It is known for its ease of use and flexibility, providing features such as asynchronous parsing, file reading, and support for various CSV formats. If you need a library that can handle CSV in both server-side and client-side environments, papaparse is an excellent option.

To explore how these libraries compare, check out the comparison: Comparing csv-parser vs csv-stringify vs csvtojson vs fast-csv vs node-csv vs papaparse.

README for csv-stringify

CSV stringifier for Node.js and the web

Build Status NPM NPM

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.

Documentation

Main features

  • Follow the Node.js streaming API
  • Simplicity with the optional callback API
  • Support for custom formatters, delimiters, quotes, escape characters and header
  • Support big datasets
  • Complete test coverage and samples for inspiration
  • Only 1 external dependency
  • to be used conjointly with csv-generate, csv-parse and stream-transform
  • MIT License

Usage

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.

Example

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");

Development

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.

Contributors

The project is sponsored by Adaltas, an Big Data consulting firm based in Paris, France.

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