List of the Top CSV Editors in 2025 - Page 2

CSVpad is a portable and free tool designed for editing CSV (Comma-separated values) files that supports Unicode and does not need installation. This application enables users to effortlessly adjust rows and columns and offers various export options, including HTML, XML, OpenDocument Spreadsheet (ODS), and Microsoft Excel 8.0 (XLS). With features such as undo and redo, it significantly improves editing flexibility for users. It is compatible with several operating systems like Windows 8, Windows 7, Windows Vista, Windows XP, and Linux, making it suitable for a diverse audience. Furthermore, its lightweight design ensures that it serves as an excellent solution for those in need of a quick and efficient way to edit CSV files while on the move. Users can benefit from its simplicity and functionality without the hassle of software installation.

CSV Buddy helps users efficiently prepare their CSV files, ensuring they can easily integrate with various software platforms, while allowing them to load, save, and export files using multiple delimiters and personalized settings. The software features an updated user interface that includes adjustable font sizes and options for screen scaling, as well as the ability to merge columns through templates and automate tasks with scripting capabilities. Enhancements for user experience are evident in its undo functions, alerts for unsaved changes, and more informative error messages. In addition, CSV Buddy is paired with CSV Messenger, which streamlines the execution of scripting commands and supports advanced automation for CSV file handling. Users can create merged fields either within the application or during the process of loading a CSV file, utilizing the data from previous fields for each new row. Moreover, sorting rows can be effortlessly done by clicking on the relevant column headers, making data organization simple. For direct file loading from the command line, users can conveniently append the CSV file name as the first argument in the command. This versatile functionality establishes CSV Buddy as a robust solution for effectively managing and manipulating CSV data, catering to a range of user needs. Ultimately, the combination of features makes it an indispensable tool for anyone dealing with CSV files regularly.

CSViewer is a fast and free desktop application designed for Windows users, enabling them to view and analyze large delimited text and binary files, including popular formats like CSV, TSV, Parquet, and QVD. It can quickly load millions of rows within seconds and offers advanced filtering capabilities as well as immediate profiling features, which cover aggregate functions, null counts, and outlier detection. Users can effortlessly export their filtered datasets, save their analysis setups, and generate visual representations through charts and cross-tabulations. Prioritizing exploratory data analysis without dependence on cloud services, CSViewer ensures that all aggregates and visual elements are updated in real-time whenever filters are adjusted or changed. Statistics for each column, such as null counts, unique values, and minimum or maximum values, are readily available for users to examine. Furthermore, users can export their selected rows into a new file for sharing or further analysis in different applications. The software also accommodates file conversion between various formats, allowing users to change CSV files into QVD format seamlessly. When opting to export to the native .dset format, users' data, along with any filters and visualizations applied, is preserved, making it easy to revisit their work later. This methodical approach not only simplifies data management but also significantly enhances the overall user experience while providing a robust tool for data analysis. Users can take full advantage of CSViewer’s capabilities to streamline their workflow efficiently.

ConvertCSV is an online tool that allows users to transform CSV files into a variety of formats such as JSON, XML, SQL, KML, YAML, and Markdown, providing a versatile solution for data management. In addition to these conversions, it offers utilities like CSV viewers and editors, along with data extraction tools that enable users to retrieve emails and URLs effectively. Users can perform various operations, including SQL queries on CSV files, splitting extensive datasets, and converting CSVs into fixed-width formats, Excel documents, or PDFs. The application processes everything on the client-side, which not only protects user privacy but also ensures efficient handling of large files. With SQL capabilities for querying and saving data back to CSV or JSON, users are equipped with robust functionalities. The default setting features an auto-detect mode for field separators that enhances usability. Furthermore, users can extract emails or URLs from different websites, filter data to include or exclude particular records, and sort the information either in alphabetical or numerical order. There’s also the flexibility to add double or single quotes around values, with the option to treat all quotes as data when necessary. Crucially, since all operations are executed entirely on the client-side, users maintain full control over their data, ensuring a high degree of confidentiality throughout the conversion process. This commitment to user privacy and data security underscores the application's reliability and effectiveness in managing and converting data seamlessly.

Quadratic transforms team collaboration in data analysis, leading to faster results. While you might already be accustomed to using spreadsheets, the functionalities provided by Quadratic are truly innovative. It seamlessly incorporates Formulas and Python, with upcoming support for SQL and JavaScript. You and your team can work with the programming languages you are already familiar with. Unlike traditional single-line formulas that can be hard to understand, Quadratic enables you to spread your formulas over multiple lines, enhancing readability. Additionally, the platform provides built-in support for Python libraries, allowing you to easily integrate the latest open-source tools into your spreadsheets. The most recently executed code is automatically retrieved back to the spreadsheet, supporting raw values, 1/2D arrays, and Pandas DataFrames as standard features. You can quickly pull data from external APIs, with any updates being reflected in Quadratic's cells automatically. The user interface is designed for easy navigation, allowing you to zoom out for a general view or zoom in to focus on detailed information. You can organize and explore your data in ways that suit your thinking process, breaking free from the limitations of conventional tools. This adaptability not only boosts efficiency but also encourages a more instinctive method of managing data, setting a new standard for how teams collaborate and analyze information.

Modern CSV is a sophisticated tool designed for viewing and editing tabular files, offering enhanced editing functionalities and the ability to manage large datasets efficiently. By addressing the limitations of traditional spreadsheets when dealing with CSV files, it integrates the advantageous features found in top text editors. Among its numerous capabilities are the ability to edit multiple cells, rows, or columns simultaneously, rapid loading speeds, customizable keyboard shortcuts, data analysis tools, and the option to switch between light and dark themes for user comfort. Additionally, its intuitive interface caters to both casual users and professionals seeking to streamline their data manipulation processes.