42 lines
1.2 KiB
ReStructuredText
42 lines
1.2 KiB
ReStructuredText
========================
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Team and repository tags
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========================
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.. image:: http://governance.openstack.org/badges/mistral.svg
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:target: http://governance.openstack.org/reference/tags/index.html
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======
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Meteos
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======
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.. image:: https://img.shields.io/pypi/v/meteos.svg
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:target: https://pypi.python.org/pypi/meteos/
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:alt: Latest Version
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.. image:: https://img.shields.io/pypi/dm/meteos.svg
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:target: https://pypi.python.org/pypi/meteos/
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:alt: Downloads
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You have come across an OpenStack Machine Learning service. It has
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identified itself as "Meteos." It was abstracted from the Manila
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project.
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Project Resources
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-----------------
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* `Meteos Official Documentation <https://wiki.openstack.org/wiki/Meteos>`_
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* Project status, bugs, and blueprints are tracked on
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`Launchpad <https://launchpad.net/meteos/>`_
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* Additional resources are linked from the project
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`Wiki <https://wiki.openstack.org/wiki/Meteos/>`_ page
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* Apache License Version 2.0 http://www.apache.org/licenses/LICENSE-2.0
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* `Source Code <https://github.com/openstack/meteos/>`_
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* For developer information please see `HACKING.rst <https://github.com/openstack/meteos/blob/master/HACKING.rst>`_
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* `Python Client <https://github.com/openstack/python-meteosclient.git>`_
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