<commit_before>
.. last updated on Jun 5th 2011 by <NAME>


##########
Quickstart
##########

+----------------------------------------+--------------------------------------+
|.. image::  images/simple_line.png      |.. image::  images/scalar_function.png|
|   :height: 300 px                      |   :height: 300 px                    |
|   :align: center                       |   :align: center                     |
+----------------------------------------+--------------------------------------+

This section is meant to help users on well-supported platforms and common
Python environments get started using Chaco as quickly as possible. As part of the 
`Enthought Tool Suite <http://code.enthought.com/>`_, Chaco users can subscribe 
to the `enthought-dev <https://mail.enthought.com/mailman/listinfo/enthought-dev>`_  
mailing list to post questions, consult archives and share tips.

Licensing
=========

As part of the `Enthought Tool Suite <http://code.enthought.com/>`_, Chaco is free 
and open source under the BSD licence.

Installation Overview
=====================

.. _dependencies:

Dependencies
------------
Chaco requires Python version 2.5 or later to be installed. Chaco is built on three other 
Enthought packages:

  * `Traits <http://code.enthought.com/projects/traits>`_, as an event notification framework,
  * `Kiva <https://svn.enthought.com/enthought/wiki/Kiva>`_, for rendering 2-D graphics to a variety of backends across platforms,
  * `Enable <http://code.enthought.com/projects/enable/>`_, as a framework for writing interactive visual components, and for abstracting away GUI-toolkit-specific details of mouse and keyboard handling.

It also relies on two external packages:
  * `Numpy <http://numpy.scipy.org/>`_, to deal efficiently with large datasets.
  * Either `wxPython <http://www.wxpython.org/>`_ or  `PyQt <http://www.riverbankcomputing.co.uk/software/pyqt/intro>`_ to display interactive plots. As an alternative to PyQt, Chaco is being more and more tested using the `PySide <http://www.pyside.org/>`_ toolkit (LGPL license).

  .. .. note<commit_msg>DOC: Update links to Chaco dependencies (now on github).<commit_after>
.. last updated on Jun 5th 2011 by <NAME>


##########
Quickstart
##########

+----------------------------------------+--------------------------------------+
|.. image::  images/simple_line.png      |.. image::  images/scalar_function.png|
|   :height: 300 px                      |   :height: 300 px                    |
|   :align: center                       |   :align: center                     |
+----------------------------------------+--------------------------------------+

This section is meant to help users on well-supported platforms and common
Python environments get started using Chaco as quickly as possible. As part of the 
`Enthought Tool Suite <http://code.enthought.com/>`_, Chaco users can subscribe 
to the `enthought-dev <https://mail.enthought.com/mailman/listinfo/enthought-dev>`_  
mailing list to post questions, consult archives and share tips.

Licensing
=========

As part of the `Enthought Tool Suite <http://code.enthought.com/>`_, Chaco is free 
and open source under the BSD licence.

Installation Overview
=====================

.. _dependencies:

Dependencies
------------
Chaco requires Python version 2.5 or later to be installed. Chaco is built on three other 
Enthought packages:

  * `Traits <https://github.com/enthought/traits>`_, as an event notification framework,
  * `Kiva <https://github.com/enthought/enable>`_, part of the enable project, for rendering 2-D graphics to a variety of backends across platforms,
  * `Enable <https://github.com/enthought/enable/>`_, as a framework for writing interactive visual components and for abstracting away GUI-toolkit-specific details of mouse and keyboard handling.

It also relies on two external packages:
  * `Numpy <http://numpy.scipy.org/>`_, to deal efficiently with large datasets.
  * Either `wxPython <http://www.wxpython.org/>`_ or  `PyQt <http://www.riverbankcomputing.co.uk/software/pyqt/intro>`_ to display interactive plots. As an alternative to PyQt, Chaco is being more and more tested using the `PySide <http://www.pyside.org/>`_ toolkit (LGPL license).

  .. .. note
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