No description, website, or topics provided.
Python
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Failed to load latest commit information.
apptools
docs updated copyright year in doc Feb 26, 2016
examples Switch to `provides` from `implements`. Aug 20, 2015
integrationtests/persistence ENH: remove unused __init__.py files Jun 9, 2011
.coveragerc add apptools travis-ci builds Sep 14, 2015
.gitignore Bump the version to 4.3.0 and add development versioning. Dec 18, 2014
.travis.yml
CHANGES.txt Update as per PR comments, update CHANGES. Oct 1, 2015
LICENSE.txt
MANIFEST.in Add a MANIFEST.in Mar 17, 2015
README.rst
TODO.txt updating mayavi/tvtk imports not to use proxy Jun 5, 2011
image_LICENSE.txt
image_LICENSE_Nuvola.txt converting to unix line endings and removing excess whitespace Jan 28, 2011
image_LICENSE_OOo.txt converting to unix line endings and removing excess whitespace Jan 28, 2011
setup.py bump version number for post-release Feb 29, 2016
travis-ci-requirements.txt Fix mismatched PyFace and Traits UI requirements. May 31, 2017

README.rst

apptools: application tools

Build status Coverage report

Documentation: http://docs.enthought.com/apptools

Source Code: http://www.github.com/enthought/apptools

The apptools project includes a set of packages that Enthought has found useful in creating a number of applications. They implement functionality that is commonly needed by many applications

  • apptools.appscripting: Framework for scripting applications.
  • apptools.help: Provides a plugin for displaying documents and examples and running demos in Envisage Workbench applications.
  • apptools.io: Provides an abstraction for files and folders in a file system.
  • apptools.logger: Convenience functions for creating logging handlers
  • apptools.naming: Manages naming contexts, supporting non-string data types and scoped preferences
  • apptools.permissions: Supports limiting access to parts of an application unless the user is appropriately authorised (not full-blown security).
  • apptools.persistence: Supports pickling the state of a Python object to a dictionary, which can then be flexibly applied in restoring the state of the object.
  • apptools.preferences: Manages application preferences.
  • apptools.selection: Manages the communication between providers and listener of selected items in an application.
  • apptools.scripting: A framework for automatic recording of Python scripts.
  • apptools.sweet_pickle: Handles class-level versioning, to support loading of saved data that exist over several generations of internal class structures.
  • apptools.template: Supports creating templatizable object hierarchies.
  • apptools.type_manager: Manages type extensions, including factories to generate adapters, and hooks for methods and functions.
  • apptools.undo: Supports undoing and scripting application commands.

Prerequisites

All packages in apptools require:

The apptools.preferences package requires:

Many of the packages provide optional user interfaces using Pyface and Traitsui. In additon, many of the packages are designed to work with the Envisage plug-in system, althought most can be used independently: