A lightweight Java library for plotting data with minimal setup and extensive customization options.
XChart is a lightweight Java library for creating a wide variety of charts from data with minimal code. It solves the problem of quickly generating visualizations within Java applications, offering both simplicity for basic plots and deep customization for advanced needs.
Java developers who need to embed charts in desktop applications (especially Swing-based), scientific computing tools, or any Java project requiring data visualization without heavy dependencies.
Developers choose XChart for its balance of ease-of-use and powerful features—it requires no mandatory external dependencies, provides real-time charting capabilities, and includes an extensive, centralized styling API that simplifies customization.
XChart is a light-weight Java library for plotting data.
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Supports over a dozen chart types including line, scatter, bar, pie, OHLC, and heatmaps, with dedicated builders and stylers for each, as shown in the features table and examples.
Enables dynamic charts with straightforward API calls like updateXYSeries and panel repaint, demonstrated in the real-time example with sine wave generation and SwingUtilities.
All styling options are consolidated in Styler classes and series setters, allowing quick customization without hunting through disparate methods, as illustrated in the chart and series customization sections.
Has no mandatory external dependencies, making it easy to integrate into Java projects with minimal overhead, emphasized in the features list and Maven setup instructions.
Primarily designed for Java Swing GUIs, so embedding charts in web applications, headless servers, or non-Swing environments requires additional workarounds or is not natively supported.
Exporting to vector formats like SVG, EPS, and PDF requires optional libraries (e.g., de.erichseifert.vectorgraphics2d), adding complexity and extra setup for projects needing these outputs.
Customization and chart building require verbose, imperative Java code rather than declarative configurations, which can be cumbersome for teams accustomed to JSON or YAML-based chart definitions.