Struggling to choose between Smoothie Charts and RAWGraphs? Both products offer unique advantages, making it a tough decision.
Smoothie Charts is a Development solution with tags like javascript, charting, streaming, visualization, realtime.
It boasts features such as Real-time line, bar, scatter, spline and area charts, Optimized for high performance, Small code footprint, Streaming data visualization, Interactive charts, Time-series charts, Customizable styles and pros including Fast and lightweight, Good for real-time data visualization, Easy to integrate, Open source and free.
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.
Smoothie Charts is a JavaScript charting library for streaming data visualization. It is optimized for real-time line graphs but also supports bar, scatter, spline and area graphs. Smoothie Charts aims to provide high performance interactive charts with a small footprint.
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.