GtkDatabox is a widget for the GTK+ library designed to display large amounts of numerical data quickly and easily. It allows for one or more data sets of thousands of data points (X and Y coordinates) to be displayed and updated in split seconds. It offers the ability to zoom into and out of the data, and to navigate through your data by scrolling. In addition to rulers and a simple coordinate cross, it allows you to add one (or even more) configurable grids like on an oscilloscope. Data may be presented as dots, lines connecting the data, or vertical bars. The widget allows you to easily transform pixel coordinates into data coordinates, thus allowing you to easily create powerful applications for data analysis.
GTKExtra is a useful set of widgets for creating GUIs for the X Window System using GTK+. It is written in C and includes the following widgets: GtkSheet, GtkPlot, GtkPlotCanvas, GtkItemEntry, GtkComboBox, GtkColorCombo, GtkBorderCombo, GtkFontCombo, GtkDirTree, GtkIconList, GtkFileList, GtkIconFileSelection, and GtkCheckItem.
Guis widget server is a Gtk2 widget server. It listens on pipes for widget requests (in the Python or Ruby (or Slang, etc.) scripting languages), and emit replies or events in textual lines (e.g. Lispy, XML or plain token syntax). It is useful for programs (in particular setuid programs) and scripts that don't or can't link the Gtk2 libraries and need to delegate the user interface to another process.
IT Mill Toolkit is a server-side RIA (Rich Internet Application) library that provides a versatile set of AJAX widgets for Java programmers. Applications are programmed in Java and executed server-side. At the client-side (i.e. in the browser), enhanced GWT widgets are used for presentation.
JChart2D is a Swing widget for precise runtime visualization of numerical tuples in an x-y plot. It is easy to use and is designed for runtime display. Unlike other charting tools that cover all kinds of views (pie, bar, etc.), it just creates precise x-y plots. It is thread-safe: many different threads in an application may each add data to plot. A single chart may contain multiple different traces. It also features automatic scaling, choice of unit, viewports (zooming), output to images (PNG, JPEG, and EPS), logarithmic axis, and custom rendering of datapoints (lines, dots, discs, and filled polygons).