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: Chaco separates the data
from any transformations of the data that are needed for displaying it. This
separation makes it easier to extend Chaco, or embed it in applications.
You must have the following libraries installed before building or installing
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