AVC is a multiplatform, fully automatic, live connection among graphical interface widgets and application variables for the python language. AVC supports in a uniform way the most popular widget toolkits: GTK+, Qt3, Qt4, Tk, wxWidgets. The Swing widget toolkit for the java environment is also supported via the jython compiler. AVC is a python package that can be imported by any python or jython application.

The display and the control of some application data through a GUI (Graphical User Interface) is a central problem in GUI programming, it absorbs a relevant part of the programming effort. AVC makes this programming very easy, far more easy than traditional solutions based on MVC (Model View Controller).

News

24-Dec-2009: released AVC 0.8.2. Fixed wxWidgets ListCtrl not updating header on connected variable change. Release note.

1-Dec-2009: released AVC 0.8.1. Fixed wxWidgets TreeCtrl not updating on connected variable change. Release note.

20-Nov-2009: released AVC 0.8.0. AVC goes into java environment introducing the support for the Swing widget toolkit. Release note.

20-Apr-2009: released AVC 0.7.1. This release makes some cleanup of backup files in "examples" dir and restore the file manual.pdf.readme in "doc" dir. Release note.

25-Feb-2009: AVC is now available as package for the Arch Linux distribution.

Features

• Fully transparent widget-variable connections
• Automatic connection by matching widgets and variables names
• Multiple matching namespaces
• Dynamic connections
• No design pattern, no application redesign, no widget toolkit dependent code, separation between application logic and GUI.
• Multiple widget toolkits support: GTK+, Qt3, Qt4, Tk, wxWidgets, Swing.
• Full compatibility and support for Glade, Qt Designer, Visual Tcl and wxGlade interface design tools.
• Normal widgets: button, check button, combo box, entry, label, progress bar, radio button, slider, spin button, status bar, text view/edit, toggle button.
• Advanced widgets: list view, tree view.
• Normal variable types: boolean, integer, float, string, list, tuple.
• Advanced variable types: 2D table (list of lists), hierarchical tree (dictionary with path of values inside tree as keys).
• Multiple widgets to one variable connection
• Dual update timing of variable value views: immediate or periodic.
• Testing printout logging activity with selectable verbosity
• Python package written in pure python
• Free software ( GNU GPL license )