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===========================
apptools: application tools
===========================
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:
* `traits <https://github.com/enthought/traits>`_
The `apptools.preferences` package requires:
* `configobj <http://pypi.python.org/pypi/configobj>`_
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:
* `envisage <https://github.com/enthought/envisage>`_
* `pyface <https://github.com/enthought/pyface>`_
* `traitsui <https://github.com/enthought/traitsui>`_
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