Struggling to choose between Plotly and Epoch Charting Library? 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, Epoch Charting Library is a Development product tagged with charting, data-visualization, interactive, open-source.
Its standout features include Supports various chart types like line, bar, pie, scatter, and area plots, Includes interactive features like tooltips, zooming, panning, Handles axis scaling, animations, and other common charting functionality, Customizable with CSS for styling, Modular architecture allows combining chart types, Open source JavaScript library, and it shines with pros like Easy to use API, Interactive and animated charts out of the box, Good documentation and examples, Customizable and extensible, Free and open source.
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.
The Epoch Charting Library is an open-source JavaScript charting library for building interactive browser-based charts. It supports various chart types like line, bar, pie, scatter, and area plots. The library is designed to be easy to use with an intuitive API and handles things like axis scaling, interactivity, and animations out of the box.