This is a summary of FSM implementations in Python right now. Licensing remains unclear.
For general information about finite state machines, see:
Finite State Machine Editor
FSME is a tool where you can draw FSM diagrams, and then compile to a Python module (or C++ code.) It also makes an XML description of the FSM.
Requires QT for the editor. (Not the compiler, though, which probably reads XML.)
Tulip (Temporal Logic Planning Toolbox)
Transition systems (Kripke Structures, also known as generators of languages):
- for closed systems
- for open systems (that play against adversarial environments)
Automata (also known as acceptors):
Machines (also known as transducers):
The toolbox includes an extension of networkx.MultiDiGraph to define typed labeling and also a subpackage for exporting the above classes to:
GraphViz dot (inluding: TikZ (LaTeX), ipython qtconsole inline plot support of graphviz output)
Promela (for transition systems only)
The implemented algorithms include the synchronous product between transition systems and Buchi automata.
Tulip itself is a package for synthesizing correct-by-construction systems from a logic specification and a model expressed as a transition system, including - among other - functions for abstracting the continuous dynamics of systems governed by differential equations to finite state transition systems.
FSA - Finite State Automation in Python
FSA seems to be all about creating finite state machines, but I don't see a whole lot on how to use them.
Noah Spurrier's FSM
Noah's implementation is pure Python code. You init an FSM, register transitions, and then throw inputs at it. States and inputs must be hashable.
It's fairly similar to Skip's implementation (below).
This seems to be a Python wrapper around AT&T's FSM library. It's all oriented around "weighted" finite state machines, so I'm not so sure how suitable it is if you just want to use unweighted FSM.
An example using decorators is in the Decorator Library on this site. The module simplifies implementation of FSM's based on UML 2.0 state diagrams. The FSM is implemented as a class, with methods of the class associated with transitions or with states. The design is not the best for constructing FSMs to parse text being somewhat slower than alternatives.
Skip Montanaro's FSM
Features transition actions.
python-fsm FSM module with PyGraphViz support
An concise yet comprehensive implementation based on Wikipedia spec of Finite State Machines. The module can be used to build and further describe finite state automata with DOT graphs. It implements acceptors and transducers (Moore and Mealy machines) and provides an straight-forward way to inject and execute state change actions for entry, exit, input and transition.
Licensed under the new BSD license.