@progress/kendo-react-charts
v14.3.1 SEE LICENSE IN LICENSE.mdReact Chart renders a wide range of high-quality data visualizations. KendoReact Charts package
@progress/kendo-react-charts Download Trends
About @progress/kendo-react-charts
The KendoReact Charts package provides a comprehensive suite of data visualization components for React applications. It aims to solve the complexity of rendering various chart types, from simple bar charts to complex financial or radar charts, within a React ecosystem. Developers can embed these interactive charts directly into their UIs to present data effectively without external dependencies or complex configuration.
This package is built with a focus on developer experience and customization. Its primary audience includes React developers seeking polished, enterprise-grade charting solutions that integrate seamlessly into modern web applications. The design encourages declarative usage, allowing developers to define chart configurations using JSX properties and data arrays, aligning with React's component-based architecture.
Key API patterns revolve around a declarative approach to chart configuration. Developers define the chart type (e.g., `Chart`, `BarChart`), series data, axes, and other visual elements as props. The package utilizes data binding mechanisms to connect data sources to chart series, and offers extensive options for styling, tooltips, legends, and events through its extensive API. Specific components like `CategoryAxis`, `ValueAxis`, and `Series` allow for granular control over chart elements.
KendoReact Charts integrates smoothly into the React development workflow. It is built using TypeScript, providing strong typing for enhanced developer productivity and fewer runtime errors. The components are designed to work well with other React libraries and common state management solutions. Its inclusion in the broader Kendo UI for React set of components means it can be used alongside other UI elements for a consistent look and feel.
With a bundle size of 260.5 kB (gzipped), this package offers a rich feature set at a considerable size. While it provides extensive charting capabilities, developers should consider this size in the context of their application's overall bundle performance. The package is mature, with a long history and consistent updates, as indicated by its last update in February 2026, suggesting ongoing support and development.
One potential consideration is the package's size and feature set. For applications with extremely tight performance constraints or those requiring only very basic chart types, the overhead of KendoReact Charts might be substantial. Additionally, while highly customizable, achieving very niche or unconventional chart visualizations might require significant effort or workarounds, as the package focuses on a predefined set of robust chart types.
When to use
- When visualizing complex datasets requiring multiple series, stacked bars, or area charts within a React application.
- To implement interactive chart features like tooltips, zooming, and panning using the built-in API.
- When integrating charts into an existing Telerik Kendo UI for React application to maintain UI consistency.
- To leverage TypeScript typings for robust chart configurations and data binding.
- When a wide variety of standard chart types (line, bar, pie, scatter, donut, etc.) are needed, configured declaratively via props.
- To add sophisticated financial charts or radar charts to a React dashboard interface.
When NOT to use
- If only a single, very simple chart type (e.g., a basic line chart without interactivity) is required, consider a lighter-weight charting library to minimize bundle size.
- If the application has highly restrictive performance budgets and cannot accommodate the 260.5 kB (gzipped) bundle size.
- When custom chart types that deviate significantly from standard visualizations are required, as extensive customization might be complex.
- If the project is already heavily invested in a different charting ecosystem and integration would be problematic.
- When the primary need is for vector graphics manipulation rather than data visualization, a dedicated SVG library might be more appropriate.