traitsui: traits-capable user interfaces
Project description
The TraitsUI project contains a toolkit-independent GUI abstraction layer, which is used to support the “visualization” features of the Traits package. Thus, you can write model in terms of the Traits API and specify a GUI in terms of the primitives supplied by TraitsUI (views, items, editors, etc.), and let TraitsUI and your selected toolkit and back-end 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)
we can use TraitsUI to specify a 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)
which 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
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-hypernode.com/pypi/traitsui
Mailing list: https://groups.google.com/forum/#!forum/ets-users
Installation
If you want to run traitsui, you must also install:
You will also need one of the following backends:
PyQt
wxPython
PySide
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 .
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