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JavaScript CSV Libraries

Ranking updated Jul 13, 2026

For a javascript library for parsing csv files, the strongest matches are mholt/papaparse (PapaParse is a comprehensive CSV processing library that supports), adaltas/node-csv (This library provides a comprehensive suite for CSV parsing) and sheetjs/sheetjs (SheetJS is a powerful, universal data processing library that). Each is ranked by relevance to your query, popularity and recent activity.

We curate open-source GitHub repositories matching “best javascript csv libraries”. Results are ranked by relevance to your query — pick filters below to narrow, or refine with AI.

JavaScript CSV Libraries

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  • mholt/papaparsemholt avatar

    mholt/PapaParse

    13,492View on GitHub↗

    PapaParse is a delimited text processing library that converts CSV files into JSON objects or arrays. It provides a suite of tools for parsing delimited text and transforming structured data objects back into CSV formats through bidirectional serialization. The library is characterized by its ability to process massive datasets using incremental streaming and chunk-based processing to prevent memory overload. It includes an automatic delimiter detector to identify separator characters without manual configuration and utilizes web workers to offload parsing logic to background threads, keeping

    PapaParse is a comprehensive CSV processing library that supports stream-based parsing, asynchronous execution via web workers, and flexible delimiter handling, making it a robust choice for both Node.js and browser environments.

    JavaScriptDelimited Data ParsersCSV Parsers
    View on GitHub↗13,492
  • adaltas/node-csvA

    adaltas/node-csv

    4,268View on GitHub↗

    This library is a CSV data serializer and stringifier for transforming structured records into comma-separated values. It provides tools for converting data records into plain text via synchronous, callback-based, or stream-based implementations. The project distinguishes itself by offering a streaming implementation through the native Node.js Transform API, which allows for the processing of large datasets without loading all records into memory. It also includes a flexible formatting system to define specific delimiters, quotes, escape characters, and header configurations. The toolset cov

    This library provides a comprehensive suite for CSV parsing and serialization that natively supports stream processing, asynchronous operations, and highly customizable formatting, making it a robust choice for handling large datasets in Node.js.

    JavaScriptNode.js Transform Streams
    View on GitHub↗4,268
  • sheetjs/sheetjsSheetJS avatar

    SheetJS/sheetjs

    36,278View on GitHub↗

    SheetJS is a comprehensive library for parsing, manipulating, and generating complex spreadsheet file formats. It functions as a universal data processor that maps diverse binary, XML, and text-based file structures into a unified internal object model, allowing developers to create, read, and transform workbook data programmatically. The library distinguishes itself through a portable logic layer that provides a consistent execution environment across web browsers, server-side runtimes, and native desktop or mobile applications. By utilizing stream-based processing, it handles large files in

    SheetJS is a powerful, universal data processing library that handles CSV alongside a wide range of complex spreadsheet formats, providing the stream-based parsing and cross-platform compatibility required for robust data manipulation.

    Delimited Data ParsersBrowser-Based Data Processing
    View on GitHub↗36,278

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