c4dynamics

[C4dynamics]

Submitting Author: Ziv (@C4dynamics)
Package Name: c4dynamics
One-Line Description of Package: Python framework for algorithms of dynamic systems

Repository Link (if existing): https://github.com/C4dynamics/C4dynamics
EiC: TBD

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Code of Conduct & Commitment to Maintain Package

• I agree to abide by pyOpenSci's Code of Conduct during the review process and in maintaining my package after should it be accepted.
• I have read and will commit to package maintenance after the review as per the pyOpenSci Policies Guidelines.

Description

• Include a brief paragraph describing what your package does:
  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.
  The framework introduces state objects, which are foundational data structures that encapsulate state vectors and provide the tools for managing data, simulating system behavior, and analyzing results.
  With integrated modules for sensors, detectors, and filters, c4dynamics accelerates algorithm development while maintaining flexibility and scalability.

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Scope

• Please indicate which category or categories this package falls under:

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

None of these. c4dynamics belongs to the category of math-operations and data-operations for physical models.

Domain Specific

• Geospatial
• Education

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• Explain how and why the package falls under these categories (briefly, 1-2 sentences). For community partnerships, check also their specific guidelines as documented in the links above. Please note any areas you are unsure of:
  c4dynamics belongs to the category of math-operations and data-operations for physical models. Please refer to this page from the documentary to a brief overview of the package core: https://c4dynamics.github.io/C4dynamics/api/States.html

• Who is the target audience and what are the 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 similar things? If so, how does yours differ?
  The core concept of state objects - probably not.
  Modules from the library of the package, like Kalman filters, seeker models, solvers etc. - there are. However, here they are built on top of a state object, which according to the philosophy of the package, should facilitate and improve the algorithm development.

• Any other questions or issues we should be aware of:
  I'd be happy if the kind reviewer contact with me for any question or uncertainty. I'm open to any kind of communication.

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thank you :-)