traitsui 8.0.0

Traits-capable user interfaces

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.

Example

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:

Important Links

• Website and Documentation: http://docs.enthought.com/traitsui

  • User Manual http://docs.enthought.com/traitsui/traitsui_user_manual

  • Tutorial http://docs.enthought.com/traitsui/tutorials

  • API Documentation http://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

Installation

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.

Running the Test Suite

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.