Struggling to choose between dhtmlxSpreadsheet and RevoGrid? Both products offer unique advantages, making it a tough decision.
dhtmlxSpreadsheet is a Office & Productivity solution with tags like spreadsheet, excel, js, javascript, grid, chart, data, visualization.
It boasts features such as Spreadsheet grid, Formulas and functions, Cell formatting, Charts and pivot tables, Data validation, Keyboard navigation, Copy/paste, Export to PDF, Import/export Excel files, Localization, Accessibility support and pros including Lightweight and fast, Easy to integrate, Good documentation, Open source, Good community support, Feature rich, Cross-browser support.
On the other hand, RevoGrid is a Office & Productivity product tagged with data-grid, excellike, keyboard-navigation, virtual-scrolling, large-datasets, open-source.
Its standout features include Virtual scrolling, Excel-like cell selection, Copy/paste support, Keyboard navigation, Lightweight and fast, Handles large datasets, Customizable themes, Column resizing, Row resizing, Column pinning, Row pinning, Column grouping, Row grouping, Column sorting, Row sorting, Column freezing, Row freezing, Cell merging, Cell styling, Formula support, Custom editors, Custom formats, Plugins, and it shines with pros like Fast performance, Lightweight, Handles large datasets, Excel-like features, Open source, Customizable, Free.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
dhtmlxSpreadsheet is a lightweight JavaScript spreadsheet library for adding Excel-like grids and charts to web apps. It allows fast data processing, formatting, calculating, editing and visualization in the browser.
RevoGrid is an open-source data grid library for web browsers. It is fast and lightweight, with features like Excel-like cell selection, copy/paste, keyboard navigation, and virtual scrolling for handling large datasets.