MRV Development Framework - Preview
Sebastian Thiel
ease rapid development of maintainable, reliable and high-performance
code to be used in and around Autodesk Maya.
MRV adds a lightweight convenience layer on top of the Maya API
exposed to python, correcting inconveniences and sources for common
programming errors on the way. It essentially enables a more efficient
way of using the Maya API by allowing more intuitive access to maya's
nodes, the DAG and the dependency graph. In effect, it greatly
improves the programmers productivity.
As programming convenience within python is achieved at runtime, it
clearly comes at the cost of performance, which is why MRV will always
allow you to operate directly on MayaAPI objects, bypassing the
convenience wrapper to optimize tight loops or performance critical
sections if needed.
As an additional benefit, it provides an extensible undo system to
enable undo for the most common wrapped API operations, hence programs
requiring user interaction will work natively within maya at no
additional development costs, undo usually does not need to be
implemented explicitly. If no undo is required, MRV can automatically
use alternative implementations which incur no undo overhead at all to
additionally boost performance in non-gui modes of operation.
MRV is versatile, as it runs on all platforms supported by Maya,
starting at Maya 8.5 up to the latest version. Using MRV it is easy to
write standalone applications, using a standalone python interpreter
as long as access to the maya python libraries is available.
MRV is extensible, allowing you to add convenient interfaces to your
plug-in nodes without any boilerplate code. You can configure and
define every aspect to your liking or your specific needs, making it
especially useful for 3D-production pipeline development.
Reliability is a major concern, hence everything within MRV is backed
up by unittests. New features are implemented using test-driven
development practices , new releases are only done if no unittest
fails on any supported platform.
If you want to learn more, please have a look at the online
documentation at
http://packages.python.org/MRV/index.html
Kind Regards,
Sebastian