C4dynamics submission

[C4dynamics]

Submitting Author: Ziv Meri (@C4dynamics)
All current maintainers: Ziv Meri (@C4dynamics)
Package Name: C4dynamics
One-Line Description of Package: Python framework for algorithms of dynamic systems
Repository Link: https://github.com/C4dynamics/C4dynamics
Version submitted: v2.0.0
EiC: @coatless
Editor: TBD
Reviewer 1: TBD
Reviewer 2: TBD
Archive: TBD
JOSS DOI: TBD
Version accepted: TBD
Date accepted (month/day/year): TBD

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Description

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  c4dynamics is designed to simplify the development of algorithms for dynamic systems, using state space representations. It offers engineers and researchers a systematic approach to model, simulate, and control systems in fields like robotics, aerospace, and navigation.

Scope

• Please indicate which category or categories.
  Check out our package scope page to learn more about our
  scope. (If you are unsure of which category you fit, we suggest you make a pre-submission inquiry):

  • Data retrieval
  • Data extraction
  • Data processing/munging
  • Data deposition
  • Data validation and testing
  • Data visualization¹
  • Workflow automation
  • Citation management and bibliometrics
  • Scientific software wrappers
  • Database interoperability

Domain Specific

• Geospatial
• Education

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• For all submissions, explain how and why the package falls under the categories you indicated above. In your explanation, please address the following points (briefly, 1-2 sentences for each):
  c4dynamics belongs to the category of math-operations and data-operations for physical models. The different data processing/munging operations are overviewed in the documentary page of the package core: [state operations] (https://c4dynamics.github.io/C4dynamics/api/States.html#operations)

  • Who is the target audience and what are scientific applications of this package?
    Researchers, engineers, and students from the fields of aerospace, robotics, navigation guidance and control.

  • Are there other Python packages that accomplish the same thing? If so, how does yours differ?
    For event-driven or discrete event simulation, statepy [defunct], statemachine, or transition.
    For decision-making or reinforcement learning systems, POMDPy (not maintained) and tools like transition (for FSM).

  • If you made a pre-submission enquiry, please paste the link to the corresponding issue, forum post, or other discussion, or @tag the editor you contacted:
    c4dynamics #224 (comment)

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Footnotes

1. Please fill out a pre-submission inquiry before submitting a data visualization package. ↩