{ "info": { "author": "Texas Tribune & The Center for Investigative Reporting", "author_email": "dev@armstrongcms.org", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Environment :: Web Environment", "Framework :: Django", "Intended Audience :: Developers", "License :: OSI Approved :: Apache Software License", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 2.6", "Programming Language :: Python :: 2.7" ], "description": "armstrong.apps.embeds\r\n=====================\r\n\r\n.. image:: https://travis-ci.org/armstrong/armstrong.apps.embeds.svg?branch=master\r\n :target: https://travis-ci.org/armstrong/armstrong.apps.embeds\r\n :alt: TravisCI status\r\n.. image:: https://coveralls.io/repos/armstrong/armstrong.apps.embeds/badge.png\r\n :target: https://coveralls.io/r/armstrong/armstrong.apps.embeds\r\n :alt: Coverage status\r\n.. image:: https://pypip.in/version/armstrong.apps.embeds/badge.png\r\n :target: https://pypi.python.org/pypi/armstrong.apps.embeds/\r\n :alt: PyPI Version\r\n.. image:: https://pypip.in/license/armstrong.apps.embeds/badge.png\r\n :target: https://pypi.python.org/pypi/armstrong.apps.embeds/\r\n :alt: License\r\n\r\nArmstrong.Apps.Embeds provides a data model and modular backend system to\r\nextract embeddable content and metadata from external URLs. Representing\r\nembeddable content in a database brings the typical benefits of relational\r\ndata. Programmable backends allow more flexible use of the content beyond\r\nthe one-trick pony of the standard \"