Found 5 packages
Histograms, scatterplots and tabular data viewers for scientific applications. This package is part of the Accord.NET Framework.
Micro Charts is a set of charts that visualize quantitative data in WPF applications, and are designed to render clearly in compact spaces. Many chart types are supported, from basic line and bar charts to stacked area charts. The sparkline chart controls include numerous useful features such as multiple series, stacking, hot tracking, customizable palettes, and data aggregation. Other included controls are box plots, bullet graphs, candlestick charts, heat maps, segment charts, and trend indicators. Basically everything you need to create enhanced compact data displays. Documentation is available on the Actipro web site (https://www.actiprosoftware.com/docs/controls/wpf/index?v=25.1), and samples can be downloaded from the Actipro WPF Controls GitHub repository (https://github.com/Actipro/WPF-Controls). NOTE: This is a commercial software product and requires proper paid licensing for legal usage. See Actipro's web site (https://www.actiprosoftware.com/purchase) for links to purchase developer licenses, or view the Sales FAQ for more information about evaluations and licensing.
MSChartWrapper is a wrapper around Microsoft chart control for Win32. If you wish to create a simple line-chart or column-chart but do not want to dive into the API for Microsoft Chart Control, this is for you. Its API enables one to easily plot a series with a few function calls, or pop the chart in a window as easily as showing a message-box. In terms of UI, it adds a side-legend with check-boxes, so that you can choose what series to show and what series to hide. It also adds a context menu to the chart area so that one can easily show or hide chart legends, and save the plot to an image file. It also supports saving a plot to a Matlab .m file.
Dew.Stats.Tee provides statistical visualization components for Dew.Stats with TeeChart **Pro**. It adds specialized chart types for probability analysis, quality control, distribution insight, and multivariate exploration. Included Visualization Types: - Probability plots (Normal, Weibull, QQ, percentile-based) - Statistical quality control charts: - Variable: X-bar, R, S, EWMA - Attribute: P, NP, U, C - Dot plot, box plot, biplot, error ellipses, scatter / 3D scatter - Histogram, Pareto analysis, error bars, confidence regions Requirements and Packaging: - **Requires TeeChart Pro** (transitively referenced via **Dew.Math.TeePro**) - **TeeChart Lite is not supported** by this package - Windows-only; targets WinForms-enabled .NET TFMs - Visualization is optional; Dew.Stats runs without charting Notes: - Prior to version 6.3.10, these visual components were bundled elsewhere. From 6.3.10 onward, visualization is an opt-in package for clearer modularity.
Highcharts is a charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application. Highcharts currently supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types.