StateEngine
Finite State Machines in Pure Python! (by aymanimtyaz)
transitions
A lightweight, object-oriented finite state machine implementation in Python with many extensions (by pytransitions)
| StateEngine | transitions | |
|---|---|---|
| 1 | 7 | |
| 9 | 5,358 | |
| - | 1.0% | |
| 0.0 | 6.4 | |
| almost 2 years ago | 18 days ago | |
| Python | Python | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
StateEngine
Posts with mentions or reviews of StateEngine.
We have used some of these posts to build our list of alternatives
and similar projects.
-
I made a mini framework for creating state machines in Python!
I made a mini framework in Python that makes it easy to create state machines: StateEngine
transitions
Posts with mentions or reviews of transitions.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-09-26.
-
transitions VS python-statemachine - a user suggested alternative
2 projects | 26 Sep 2023
-
Curious to hear your life goals
Start with that you know, if you know Excel well, why not start there? I usually recommend Python if you’re new to programming, then you can pick whatever additional libraries you think would benefit the model, and the syntax is highly forgiving. Sounds to me like you’re describing a pretty big finite state machine, with 288 states. Once you encode your idea and some tests, you’ll have the vocabulary (and means) to expand to other model variations such as applying probabilities to different transition states, and opening a whole world of probabilistic models and hidden Markov models, but gotta walk before running :)
- Behavior Trees in Robotics and AI
-
Finite State Machines
BTW, did you check this?
https://github.com/pytransitions/transitions/blob/master/exa...
-
Advent of Code 2020: Day 25 with Generators in Python
Transitions
-
Advent of Code 2020: Day 02(a) using finite state machines
In Python's ecosystem of libraries, there's a nice one called transitions (which I've used in my robotics work). transitions (as the name suggests) lets you define your state machines more declaratively in terms of transitions between states, the rules that govern those transitions, and the triggers that cause these transitions to happen.
What are some alternatives?
When comparing StateEngine and transitions you can also consider the following projects:
xstate-python - XState for Python
blinker - A fast Python in-process signal/event dispatching system.
Tenacity - Retrying library for Python
riprova - Versatile async-friendly retry package with multiple backoff strategies
Blinker Herald - The Blinker Herald includes helpers to easily emit signals using the excellent blinker library.
cppimport - Import C++ files directly from Python!
import_string
attrs - Python Classes Without Boilerplate
pluginbase - A simple but flexible plugin system for Python.
Tryton - Mirror of tryton
Throttler - 🔀⏳ Easy throttling with asyncio support
magenta - Magenta: Music and Art Generation with Machine Intelligence