scope (Statistical Confidence of Oscillatory Processes with EMD)

[BelovSA]

Package Details

• Package name: scope
• Maintainer(s): Sergey Belov (@BelovSA), Dmitrii Kolotkov (@dmitrii-kolotkov)
• Repository: https://github.com/Warwick-Solar/scope
• Documentation link: https://statistical-confidence-of-oscillatory-processes-with-emd.readthedocs.io and https://github.com/Warwick-Solar/scope/blob/main/README.md
• PyPI link (if applicable): https://pypi.org/project/scope-emd/
• Continuous integration link(s): https://github.com/Warwick-Solar/scope/actions
• Link to Code of Conduct or page describing adopted Code of Conduct: https://github.com/Warwick-Solar/scope/blob/main/CODE_OF_CONDUCT.md

Description of Package

scope is the Python-based package for detecting oscillatory signals in observational or experimental time series with the EMD technique and assessing their statistical significance vs. power-law distributed background noise.

Package Review

Editor Submission Checklist

• Is the submission appropriate (compatible with the SunPy CoC)?
• Does the project have an appropriate license?
• Is the project in an online version control system?
• Does the project provide a Python interface?
• Is the project on PyPI?
• Is the project useful to the solar physics community?
• Version that was reviewed (tag or commit hash)

Instructions to Reviewer

Please copy the following and select the ranking for each criteria, the full review criteria can be found here:

* Functionality           : General Package / Specialized Package / Not Relevant
* Integration             : Well integrated / Partially Integrated / Minimal Integration
* Documentation           : Extensive / Some / Little
* Testing                 : Excellent / Good / Needs Work
* Duplication             : None / Some / Major
* Community               : Excellent / Good / Needs Work
* Development Status      : Stable / Subject to Change / Low Activity / Needs Work

[Cadair]

Hi @BelovSA Thanks a lot for the submission, I will try and look at it this week.