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A powerful, modern, and educational Python toolkit for automata theory. Visualize DFAs, NFAs, CFGs, PDAs, and Turing machines (single/multi-tape/multi-head); minimize automata; CYK and CFG algorithms; and more with an elegant, type-safe API.

Project description

Automata Diags

PyPI version Python versions License: MIT Documentation Status

A powerful, modern, and educational Python toolkit for automata theory. Visualize DFAs, NFAs, CFGs, minimize automata, and more with an elegant, type-safe API.

For the full, comprehensive documentation including tutorials and the API reference, please visit our Documentation Website.

Installation

pip install automata-diags

Requires Python 3.8+ and Graphviz.

Quick Start

from automata.backend.grammar.dist import State, Symbol
from automata.backend.grammar.regular_languages.dfa.dfa_mod import DFA
from automata.backend.drawings.automata_drawer import AutomataDrawer

# Create a simple DFA
# For more creation methods, see the full documentation.
dfa = DFA.from_string("q0,a,q1;q1,b,q2", start_state="q0", accept_states={"q2"})

# Test it
dfa.accepts([Symbol('a'), Symbol('b')]) # True

# Visualize it
drawer = AutomataDrawer()
drawer.draw_dfa_from_object(dfa, "my_first_dfa")

For more examples and detailed guides, please visit the Full Documentation Site.

Web App

https://ajodo-godson.github.io/automata_diags/

Contributing

Contributions are welcome! Please feel free to open a pull request or submit an issue on our GitHub repository.

License

This project is licensed under the MIT License.

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