Chaco is a Python plot application toolkit. It is meant to facilitate
writing plotting applications of 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 nice static plots for publication and presentation purposes, its
components are all designed to be work well for interactive data
visualization.

Features

• 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