WPF Data Chart
Render WPF charts with millions of data points that are capable of millisecond updates, sparing nothing to achieve blazing speed. Enable heavy-duty data visualization and analysis on large volumes of data with high performance.
Over 50 Chart Types
Category Series (Line, Spline, Column, Area, Spline Area, Step Line, Step Area, Range Area, Range Column, Waterfall, and new Point Series)
Polar Series (Polar Line, Polar Area, Polar Scatter, Polar Spline, Polar Spline Area)
Radial Series (Radial Column, Radial Pie, Radial Area, Radial Line)
Scatter Series (Scatter, Scatter Line, Scatter Spline, Bubble, High Density Scatter)
Financial Price Series with Candlestick, OHLC Bar modes, and many financial indicators (e.g. EMA, MFI, SMATP, MACD)
High Density Scatter Series
Bind and show scatter data ranging from thousands to millions of data points without sacrificing performance. You can change the series resolution in order to adjust the performance level of rendering when dealing with massive amounts of data points in the chart.
You can activate a number of interactions when you hover over chart data series using the mouse or touch gestures. These hover interactions can display crosshairs or bar/column highlights that can snap to actual data points. You can also attach tooltips to these hover interactions and lock them on crosshairs or to axes.
Real Time Charting with Millions of Data Points
This real time chart can display millions of data points, and update itself every few milliseconds so that it can handle your real-time feeds.
The WPF data chart control is designed for modularity of axes and chart series. Multiple axes and multiple chart series are supported.
Financial charting scenarios with support for both Candlestick and OHLC bar charts, and many built-in technical indicators like Moving Averages, Bollinger Bands, Money Flow Index, MACD, Wilder's RSI and many more are supported.
Support for multiple types, including linear (x), quadratic (x2), cubic (x3), quartic (x4), quintic (x5), logarithmic (logn x), exponential (ex), and power law (axk + o(xk)) trend lines.
Interactive Panning and Zooming
Use the keyboard, zoombar, mousewheel, or drag-select any rectangular region with the mouse to zoom in to get a close-up look at data points because when you can show millions of data points, the individual points lose their identity when completely zoomed out.
Polar series give insight to scientific data.