Struggling to choose between Plotly and ChartBlocks? Both products offer unique advantages, making it a tough decision.
Plotly is a Data Visualization solution with tags like python, r, javascript, excel, data-analysis, data-visualization, interactive, charts, graphs, dashboards.
It boasts features such as Interactive data visualization, Support for Python, R, JavaScript, Excel, 2D and 3D plotting, Statistical charts, Dashboards, Collaboration tools, Exporting and sharing and pros including User-friendly, High-quality visualizations, Cross-platform compatibility, Open source and free, Large gallery of examples, Active community support.
On the other hand, ChartBlocks is a Office & Productivity product tagged with charts, dashboards, reports, business-intelligence, data-visualization.
Its standout features include Drag-and-drop interface to create charts/dashboards, Prebuilt chart templates, Connect to data sources like Excel, SQL databases, Collaboration tools to share dashboards, Scheduled report generation and distribution, Mobile optimization of dashboards, Customizable themes and branding, Integration with other apps via API, and it shines with pros like Intuitive and easy to use, Great for non-technical users, Good selection of basic chart types, Decent collaboration features, Can be used to create simple dashboards quickly.
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.
Plotly is an open-source graphing library for Python, R, JavaScript, and Excel. It allows users to create interactive, publication-quality graphs, charts, and dashboards that can be embedded in websites and apps. Plotly is useful for data analysis and visualization.
ChartBlocks is a data visualization and business intelligence software that allows users to create interactive charts, dashboards, and reports. It has drag-and-drop functionality for building visualizations quickly without coding.