Best CSV Editors for Nonprofit - Page 2

CSVpad is a free and portable CSV (Comma-separated values) editing tool that works with Unicode and does not require installation. This software allows users to easily modify rows and columns while providing options to export CSV files in various formats such as HTML, XML, OpenDocument Spreadsheet (ODS), and Microsoft Excel 8.0 (XLS). Its features include undo and redo capabilities that greatly enhance the flexibility of editing tasks. Compatible with multiple operating systems, including Windows 8, Windows 7, Windows Vista, Windows XP, and Linux, CSVpad is designed to accommodate a wide range of users. Additionally, its lightweight nature makes it an ideal choice for those seeking a quick and efficient CSV editing solution on the go.

CSV Buddy assists users in preparing their CSV files for seamless integration with various software applications, enabling them to load, save, and export files with a variety of delimiters and customizable settings. The application boasts a revamped user interface that features adjustable font sizes and screen scaling options, along with the capability to merge columns using templates and automate processes through scripting. Additionally, CSV Buddy incorporates undo functionalities, notifications for unsaved changes, and clearer error messages for enhanced user experience. It is complemented by CSV Messenger, which facilitates scripting commands and allows for more sophisticated automation in handling CSV file operations. Users can generate merged fields within the application, or even as they load a CSV file, utilizing the contents of previous fields for each subsequent row. Furthermore, sorting rows is easily achieved by clicking on the respective column headers, providing a straightforward method for organizing data. To load a file directly from the command line, simply append the CSV file name as the first parameter within the command. This functionality makes CSV Buddy an efficient tool for managing and manipulating CSV data effectively.

CSViewer is a quick and free desktop application for Windows that allows users to view and analyze extensive delimited text and binary files, including formats like CSV, TSV, Parquet, and QVD. The application can effortlessly load millions of rows in just a few seconds and provides sophisticated filtering options alongside immediate profiling features, including aggregate functions, null counts, and outlier identification. Users can easily export their filtered datasets, save their analysis configurations, and create visualizations through charts and cross-tabulations. With a focus on facilitating exploratory data analysis without relying on cloud services, CSViewer ensures that all aggregates and visual elements refresh instantaneously whenever a filter is applied or modified. Each column's statistics, including null counts, unique values, and minimum or maximum values, are readily available for review. Additionally, users have the option to export their selected rows into a new file for sharing purposes or further analysis in other applications. The software also supports converting files between different formats, such as transforming CSV files into QVD format. When users choose to export to the native .dset format, their data is preserved alongside any applied filters and visualizations, ensuring that their work can be conveniently revisited later. This comprehensive approach streamlines data handling and enhances the user experience.

ConvertCSV is a web-based application that facilitates the conversion of CSV files to various formats, including JSON, XML, SQL, KML, YAML, and Markdown, among others. It features a range of utilities, such as CSV viewers and editors, as well as tools designed for data extraction, including emails and URLs. Users can execute operations like querying CSV files using SQL, splitting large datasets, and converting CSV files into fixed-width formats, Excel sheets, or PDFs. The entire processing is done on the client-side, ensuring user privacy, and it is capable of handling large files efficiently. With the ability to use SQL for querying and writing data back to CSV or JSON, users have powerful options at their disposal. The tool's default setting includes an auto-detect mode for field separators, making it user-friendly. Additionally, users can extract emails or URLs from websites, filter data to include or exclude specific records, and sort data either alphabetically or numerically. There is also an option for including double or single quotes around values, while the application can treat all quotes as data when needed. Importantly, all operations occur completely on the client-side, meaning that your data remains securely on your device. This ensures a high level of confidentiality and control over your information throughout the conversion process.

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.

Modern CSV is an advanced tabular file viewer/editor with advanced editing capabilities and large file handling. It compensates for the weaknesses of spreadsheets in handling CSV files by incorporating the strengths from the best text editors. Its features include multiple cell/row/column edits, fast loading times, customizable keyboard short-cuts, data analysis and light and dark themes.