Metadata-Version: 1.2
Name: vobject
Version: 0.9.5
Summary: A full-featured Python package for parsing and creating iCalendar and vCard files
Home-page: http://eventable.github.io/vobject/
Author: Jeffrey Harris
Author-email: jeffrey@osafoundation.org
Maintainer: Sameen Karim
Maintainer-email: sameen@eventable.com
License: Apache
Download-URL: https://github.com/eventable/vobject/tarball/0.9.5
Description: 
        Description
        -----------
        
        Parses iCalendar and vCard files into Python data structures, decoding the
        relevant encodings. Also serializes vobject data structures to iCalendar, vCard,
        or (experimentally) hCalendar unicode strings.
        
        Requirements
        ------------
        
        Requires python 2.7 or later, dateutil 2.4.0 or later.
        
        Recent changes
        --------------
           - Make ics_diff.py work with Python 3
           - Huge changes to text encoding for Python 2/3 compatibility
           - Autogenerate DTSTAMP if not provided
           - Fix getrruleset() for Python 3 and in the case that addRDate=True
           - Update vCard property validation to match specifications
           - Handle offset-naive and offset-aware datetimes in recurrence rules
           - Improved documentation for multi-value properties
        
        For older changes, see
           - http://eventable.github.io/vobject/#release-history or
           - http://vobject.skyhouseconsulting.com/history.html
Keywords: vobject,icalendar,vcard,ics,vcs,hcalendar
Platform: any
Classifier: Development Status :: 5 - Production/Stable
Classifier:       Environment :: Console
Classifier:       Intended Audience :: Developers
Classifier:       License :: OSI Approved :: Apache Software License
Classifier:       Natural Language :: English
Classifier:       Operating System :: OS Independent
Classifier:       Programming Language :: Python
Classifier:       Programming Language :: Python :: 2.7
Classifier:       Programming Language :: Python :: 3
Classifier:       Topic :: Text Processing
