Struggling to choose between Open Flash Chart and RAWGraphs? Both products offer unique advantages, making it a tough decision.
Open Flash Chart is a Development solution with tags like charting, flash, javascript, opensource.
It boasts features such as Supports various chart types like bar, pie, line etc., Interactive and animated Flash charts, Customizable with options for colors, labels, tooltips etc., Works with JSON and XML data sources, Library is open source and free to use and pros including Very customizable and flexible, Good documentation and examples, Lightweight and fast, Supportive community behind it, Free and open source.
On the other hand, RAWGraphs is a Data Visualization product tagged with data-visualization, charts, graphs, spreadsheet, draganddrop.
Its standout features include Drag-and-drop interface for creating visualizations, Supports various chart types like bar charts, scatter plots, dendrograms, chord diagrams, Allows importing data from CSV and Excel files, Customizable colors, fonts, sizes for all elements, Ability to export visualizations as SVG, PNG, PDF, Web-based so works across platforms and devices, Open source and free to use, and it shines with pros like Intuitive and easy to use, Very flexible and customizable, Supports many visualization types, Free and open source, Works on any device with a browser.
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.
Open Flash Chart is an open source JavaScript charting library that allows developers to create interactive Flash charts. It supports various chart types like bar charts, pie charts, line charts etc. and works well for displaying dynamic data visualizations on websites.
RAWGraphs is an open-source data visualization software that allows users to create a variety of charts and graphs from spreadsheet data. It has an intuitive drag-and-drop interface for easily customizing visualizations.