Description:

Chaco is a Python plotting application toolkit that facilitates
writing plotting applications at all levels of complexity, from simple
scripts with hard-coded data to large plotting programs with complex
data interrelationships and a multitude of interactive tools. While
Chaco generates attractive static plots for publication and
presentation, it also works well for interactive data visualization
and exploration.

* Flexible drawing and layout: Plots consist of graphical components
which can be placed inside nestable containers for layout,
positioning, and event dispatch. Every component has a configurable
rendering loop with distinct layers and backbuffering. Containers
can draw cooperatively so that layers span across the containment
hierarchy.
* Modular and extensible architecture: Chaco is object oriented from
the ground up for ease of extension and customization. There are
clear interfaces and abstract classes defining extension points for
writing your own custom behaviors, from custom tools, plot types,
layouts, etc. Most classes are also "subclass-friendly", so that
subclasses can override one or two methods and everything else just
works.
* Data model for ease of extension and embedding: There is a well
defined relationship between the data side of things, and we are
working on an even more sophisticated and powerful generic data
pipeline, leveraging some of the new features of NumPy.