The TraitsUI project provides a toolkit-independent GUI abstraction layer, which is used to support the "visualization" features of the Traits package. You can write a model using the Traits API and specify a GUI using the TraitsUI API (views, items, editors, etc.), and let TraitsUI and your selected toolkit back-end (Qt or Wx) take care of the details of displaying them.

Given a Traits model like the following:

from traits.api import HasTraits, Str, Range, Enum
class Person(HasTraits):
    name = Str('Jane Doe')
    age = Range(low=0)
    gender = Enum('female', 'male')
person = Person(age=30)

And using TraitsUI to specify and display a GUI view:

from traitsui.api import Item, RangeEditor, View
person_view = View(
    Item('name'),
    Item('gender'),
    Item('age', editor=RangeEditor(mode='spinner', low=0, high=150)),
    buttons=['OK', 'Cancel'],
    resizable=True,
)
person.configure_traits(view=person_view)

It creates a GUI which looks like this:

• Website and Documentation: https://docs.enthought.com/traitsui
  • User Manual https://docs.enthought.com/traitsui/traitsui_user_manual
  • Tutorial https://docs.enthought.com/traitsui/tutorials
  • API Documentation https://docs.enthought.com/traitsui/api
• Source code repository: https://github.com/enthought/traitsui
  • Issue tracker: https://github.com/enthought/traitsui/issues
• Download releases: https://pypi.python.org/pypi/traitsui
• Mailing list: https://groups.google.com/forum/#!forum/ets-users

If you want to run traitsui, you must also install:

• Traits https://github.com/enthought/traits
• Pyface https://github.com/enthought/pyface

You will also need one of the following backends:

• wxPython
• PySide2
• PyQt5

Backends have additional dependencies and there are optional dependencies on NumPy and Pandas for some editors.

TraitsUI along with all dependencies can be installed in a straightforward way using the Enthought Deployment Manager, pip or other package managers.

To run the test suite, you will need to install Git and EDM as well as have a Python environment which has install Click available. You can then follow the instructions in etstool.py. In particular:

> python etstool.py test_all

will run tests in all supported environments automatically.