The BlockCanvas project provides a visual environment for creating simulation
experiments, where function and data are separated. Thus, you can define your
simulation algorithm by visually connecting function blocks into a data flow
network, and then run it with various data sets (known as "contexts");
likewise, you can use the same context in a different functional simulation.
The project provides support for plotting, function searching and inspection,
and optimization. It includes a stand-alone application that demonstrates the
block-canvas environment, but the same functionality can be incorporated into
The BlockCanvas project relies on included libraries that allow multiple data
sets using Numeric arrays to be incorporated in a Traits-based model in a
way that is simple, fast, efficient, and consistent.
submitter went away