Best CSV Editors for JavaScript

Find and compare the best CSV Editors for JavaScript in 2025

Use the comparison tool below to compare the top CSV Editors for JavaScript on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

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    EmEditor Reviews
    EmEditor is a quick, lightweight, and highly customizable text editor designed for Windows, offering user-friendly features. It comes in both native 64-bit and 32-bit versions, with the 64-bit variant additionally providing distinct builds optimized for SSE2 (128-bit), AVX-2 (256-bit), and AVX-512 (512-bit) instruction sets, catering to a wide range of user needs. This versatility makes it a popular choice among various coding and editing professionals.
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    Tablecruncher Reviews

    Tablecruncher

    Tablecruncher

    $32.18 one-time payment
    Tablecruncher serves as a robust yet streamlined CSV editor for Mac users, adept at managing substantial datasets with ease. It is capable of opening files exceeding 2GB and containing over 15 million rows, efficiently loading a 100MB CSV file in less than 5 seconds on a dual-core MacBook Pro. The application accommodates a variety of encodings such as UTF-8, UTF-16LE, UTF-16BE, Latin-1 (ISO-8859-1), and Windows 1252, with the ability to auto-detect most CSV formats and their associated encodings. Users can leverage JavaScript as a macro language for file manipulation, giving them access to all cells for content alterations and calculations. Additionally, Tablecruncher provides the functionality to export table data to JSON, generating an array of objects when a header row exists or an array of arrays when it does not. Its find and replace feature enables users to conduct pattern searches within the table or specific selected regions, utilizing Regular Expressions that comply with the ECMAScript 5 standard. Furthermore, the software includes four distinct color themes, with one being a dark mode option, to enhance the overall user interface experience while working with large datasets. This combination of features makes Tablecruncher an indispensable tool for anyone dealing with extensive CSV files.
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    editCSVonline Reviews

    editCSVonline

    editCSVonline

    Free
    editCSVonline is a user-friendly web application that enables individuals to edit CSV files directly in their browsers, thus removing the necessity for any software installations. Utilizing DataGridXL, a quick and responsive Vanilla JavaScript library for data tables, it offers a spreadsheet-like environment that allows for easy data manipulation. Users can either upload CSV files from their devices or paste CSV content directly into the tool. To streamline the editing process, it includes a variety of keyboard shortcuts designed to boost efficiency, such as operations for cutting, copying, and pasting, along with commands for selection changes, navigation, and undo/redo functions. The application supports standard navigation keys, allowing users to move around with arrow keys and edit cells by pressing 'Enter.' Its intuitive design caters to users with diverse technical skills, ensuring accessibility for everyone. As a complimentary service provided by Vanilla Components, editCSVonline empowers users to efficiently handle their CSV data without the complications typically associated with more advanced software solutions. With its emphasis on simplicity and effectiveness, the platform is an ideal choice for those looking to manage their data conveniently.
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    Quadratic Reviews
    Quadratic empowers your team to collaborate on data analysis, resulting in quicker outcomes. While you may already be familiar with spreadsheet usage, the capabilities offered by Quadratic are unprecedented. It fluently integrates Formulas and Python, with SQL and JavaScript support on the horizon. Utilize the programming languages that you and your colleagues are comfortable with. Unlike single-line formulas that can be difficult to decipher, Quadratic allows you to elaborate your formulas across multiple lines for clarity. The platform conveniently includes support for Python libraries, enabling you to incorporate the latest open-source tools seamlessly into your spreadsheets. The last executed code is automatically returned to the spreadsheet, and it accommodates raw values, 1/2D arrays, and Pandas DataFrames as standard. You can effortlessly retrieve data from an external API, with automatic updates reflected in Quadratic's cells. The interface allows for smooth navigation, permitting you to zoom out for an overview or zoom in to examine specifics. You can organize and traverse your data in a manner that aligns with your thought process, rather than conforming to the constraints imposed by traditional tools. This flexibility enhances not only productivity but also fosters a more intuitive approach to data management.
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