Struggling to choose between Sheetster and RevoGrid? Both products offer unique advantages, making it a tough decision.
Sheetster is a Office & Productivity solution with tags like spreadsheet, excel-alternative, data-analysis, charts, free.
It boasts features such as Basic spreadsheet functions like formulas, formatting, sorting, filtering, Charts and pivot tables, Add-ons for more features, Import/export Excel files, Real-time collaboration, Available as web, desktop and mobile apps and pros including Free to use with full features, Easy to use interface, Good for basic spreadsheet needs, Collaborative editing in real-time, Cross-platform - use anywhere.
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.
Sheetster is a spreadsheet software designed to be a free, easy-to-use alternative to Excel. It provides core spreadsheet functionality for managing data, calculations, charting, and reporting.
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.