transitions
A lightweight, object-oriented finite state machine implementation in Python with many extensions (by pytransitions)
parsimonious
The fastest pure-Python PEG parser I can muster (by erikrose)
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| transitions | parsimonious | |
|---|---|---|
| 7 | 5 | |
| 5,358 | 1,759 | |
| 1.7% | - | |
| 6.4 | 3.3 | |
| 14 days ago | 3 months 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.
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.
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transitions VS python-statemachine - a user suggested alternative
2 projects | 26 Sep 2023
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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
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Finite State Machines
BTW, did you check this?
https://github.com/pytransitions/transitions/blob/master/exa...
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Advent of Code 2020: Day 25 with Generators in Python
Transitions
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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.
parsimonious
Posts with mentions or reviews of parsimonious.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-11.
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How would I solve this?
Oh sorry, I grabbed the wrong PEG parser… I’ve used this one: https://github.com/erikrose/parsimonious
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Not Your Grandfather’s Perl
A grammar provides the high level constructs you need to define the "shape" of your data, and it largely takes care of the rest. Grammar libraries exist in other language (eg. lark or Parsimonius in Python) and they weren't created just to make XML parsing easier.
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Do programmers save chunks of code for repeated use?
I'm honestly shocked that you are being downvoted heavily for this. I was literally reading a pip module a few days ago that cites stackoverflow in the code. It may not be for code snips but it it's not wild to think that someone would do this for code they pulled from SO.
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Advent of Code 2020: Day 25 with Generators in Python
Parsimonious
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Advent of Code 2020: Day 07 using Python PEG grammars + NetworkX
Since the input comes in the form of well-formatted text with with variable-width lines, this seems a perfect fit for a PEG parser, as described in Day 04. Using a PEG parser with a node visitor also lets us process each each node as it is being parsed, saving a loop or two. As usual, I will be using the parsimonious library for Python. Importing it with from parsimonious.grammar import Grammar
What are some alternatives?
When comparing transitions and parsimonious you can also consider the following projects:
xstate-python - XState for Python
pip - The Python package installer
blinker - A fast Python in-process signal/event dispatching system.
Lark - Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.
Tenacity - Retrying library for Python
Bash-Utilities - A few bash scripts I've written that I wanted to share
riprova - Versatile async-friendly retry package with multiple backoff strategies
NumPy - The fundamental package for scientific computing with Python.
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