Best CSV Editors for JavaScript

Compare the Top CSV Editors that integrate with JavaScript as of July 2025

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This a list of CSV Editors that integrate with JavaScript. Use the filters on the left to add additional filters for products that have integrations with JavaScript. View the products that work with JavaScript in the table below.

What are CSV Editors for JavaScript?

CSV editors are software tools designed to help users view, edit, and manipulate data stored in CSV (Comma-Separated Values) format. These editors provide a user-friendly interface for organizing, sorting, and modifying data, often with features like support for large datasets, filtering, and multi-column sorting. CSV editors also allow users to easily convert, export, and import CSV files to and from other formats, such as Excel or databases. Many CSV editors include tools for data validation, formula application, and batch processing, streamlining the process of managing structured data. By offering an efficient way to handle CSV files, these tools are widely used for tasks like data analysis, reporting, and integration with other systems. Compare and read user reviews of the best CSV Editors for JavaScript currently available using the table below. This list is updated regularly.

1

EmEditor

Emurasoft

EmEditor is a fast, lightweight, yet extensible, easy-to-use text editor for Windows. Both native 64-bit and 32-bit builds are available, and moreover, the 64-bit includes separate builds for SSE2 (128-bit), AVX-2 (256-bit), and AVX-512 (512-bit) instruction sets.

1 Rating

Starting Price: $39.99

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2

Tablecruncher

Tablecruncher

Tablecruncher is a lightweight yet powerful CSV editor for Mac, designed to handle large datasets efficiently. It can open files larger than 2GB, containing over 15 million rows, with a 100MB CSV file loading in under 5 seconds on a dual-core MacBook Pro. It supports various encodings, including UTF-8, UTF-16LE, UTF-16BE, Latin-1 (ISO-8859-1), and Windows 1252, automatically detecting most CSV formats and encodings. Users can utilize JavaScript as a macro language to manipulate CSV files, accessing all cells for content changes and calculations. Tablecruncher allows exporting table data to JSON, producing an array of objects if a header row is present, or an array of arrays otherwise. The find and replace dialog supports pattern searches within the table or selected areas, with Regular Expressions compliant with the ECMAScript 5 standard. It offers four color themes, including a dark mode compatible theme, enhancing user experience.

Starting Price: $32.18 one-time payment

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3

editCSVonline

editCSVonline

editCSVonline is a free web application that allows users to edit CSV files directly within their browser, eliminating the need for additional software installations. Powered by DataGridXL, a fast Excel-like Vanilla JavaScript data table library, it provides a spreadsheet-like interface for seamless data manipulation. Users can open CSV files from their devices or paste CSV data directly into the application. It supports a range of keyboard shortcuts to enhance productivity, including clipboard operations (cut, copy, paste), selection modifications, navigation controls, and undo/redo functionalities. The interface also supports standard navigation keys such as arrow keys for movement and 'Enter' to edit cells. It is designed to be intuitive, making it accessible for users with varying levels of technical expertise. As a free service by Vanilla Components, editCSVonline ensures that users can manage their CSV data efficiently without the need for complex software.

Starting Price: Free

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4

Quadratic

Quadratic

Quadratic enables your team to work together on data analysis to deliver faster results. You already know how to use a spreadsheet, but you’ve never had this much power. Quadratic speaks Formulas and Python (SQL & JavaScript coming soon). Use the language you and your team already know. Single-line formulas are hard to read. In Quadratic you can expand your recipes to as many lines as you need. Quadratic has Python library support built-in. Bring the latest open-source tools directly to your spreadsheet. The last line of code is returned to the spreadsheet. Raw values, 1/2D arrays, and Pandas DataFrames are supported by default. Pull or fetch data from an external API, and it updates automatically in Quadratic's cells. Navigate with ease, zoom out for the big picture, and zoom in to focus on the details. Arrange and navigate your data how it makes sense in your head, not how a tool forces you to do it.

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