Struggling to choose between ChartURL and Infogr.am? Both products offer unique advantages, making it a tough decision.
ChartURL is a Data Visualization solution with tags like data-visualization, charts, dashboards, business-intelligence, open-source.
It boasts features such as Create interactive charts and dashboards, Connect to various data sources (CSV, SQL, Excel, etc.), Customizable chart types and visualizations, Collaborate and share charts with others, Responsive design for mobile and desktop, Embeddable charts and reports and pros including Open-source and free to use, Wide range of chart types and customization options, Easy to integrate with different data sources, Collaborative features for sharing and teamwork, Responsive and mobile-friendly.
On the other hand, Infogr.am is a Data Visualization product tagged with infographics, charts, maps, dashboards, data-visualization.
Its standout features include Drag-and-drop interface to create infographics, Various customizable charts and graphs, Interactive elements like maps, timelines and images, Collaboration tools to work with team members, Ability to embed infographics on websites, Export options including PNG, PDF, SVG, Mobile optimization for responsive design, and it shines with pros like Intuitive and easy to use, Great for non-designers, Good variety of templates and icons, Affordable pricing, Good customer support.
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.
ChartURL is an open-source alternative to data visualization and charting software like Tableau. It allows users to create interactive charts, dashboards and reports from various data sources.
Infogr.am is an easy-to-use infographics and data visualization creation tool. It allows users to create interactive infographics, charts, maps and dashboards by simply dragging and dropping different visualization elements.