A Docker container with Maya and python2.7 installed, ready for a maya python project.
984
Anvil: Just another autorigger
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Online Documentation (ReadTheDocs) <http://riganvil.readthedocs.io/en/latest/>_
.. image:: https://badge.fury.io/py/Anvil.svg :target: https://badge.fury.io/py/Anvil
.. image:: https://circleci.com/gh/AndresMWeber/Anvil.svg?style=shield&circle-token=:circle-token :target: https://circleci.com/gh/AndresMWeber/Anvil/
.. image:: https://coveralls.io/repos/github/AndresMWeber/Anvil/badge.svg?branch=master :target: https://coveralls.io/github/AndresMWeber/Anvil?branch=master
.. image:: https://landscape.io/github/AndresMWeber/Anvil/master/landscape.svg?style=flat :target: https://landscape.io/github/AndresMWeber/Anvil/master :alt: Code Health
.. contents::
.. section-numbering::
My Autorigger. Ain't yo business..yet!
A universal installation method (that works on Windows, Mac OS X, Linux, …, and always provides the latest version) is to use pip:
.. code-block:: bash
# Make sure we have an up-to-date version of pip and setuptools:
$ pip install --upgrade pip setuptools
$ pip install Anvil
(If pip installation fails for some reason, you can try
easy_install anvil as a fallback.)
Use this tool via package level functions
.. code-block:: python
import anvil
anvil.lorem_ipsum()
This package supports the Maya 2015, 2016 and 2017 so far so please be aware.
Content type
Image
Digest
Size
1.3 GB
Last updated
over 8 years ago
docker pull daemonecles/anvil