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Lusmu – a dataflow/reactive programming library for Python

Lusmu is a Python library for reactive programming (a form of dataflow programming). Operations on data are done using a directed graph which consists of input nodes and calculation nodes.

Lusmu uses the invalidate/lazy-revalidate evaluation model: reading the value of a node triggers its calculation action and reads the values of its inputs. Thus, only required calculations are executed.

A minimal example

from lusmu.core import Input, Node, update_inputs

root = Input()
square = Node(action=lambda x: x ** 2,
              inputs=Node.inputs(root))

update_inputs([(root, 5)])
print square.value

The output:

25

See mouse.py and triangle.py for more comples examples.