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[REVIEW]: cuallee: A python package for data quality checks across multiple DataFrame APIs #6684

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editorialbot opened this issue Apr 26, 2024 · 9 comments
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Makefile Python review TeX Track: 5 (DSAIS) Data Science, Artificial Intelligence, and Machine Learning

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editorialbot commented Apr 26, 2024

Submitting author: @canimus (Herminio Vazquez)
Repository: https://github.com/canimus/cuallee
Branch with paper.md (empty if default branch): main
Version: v0.8.8
Editor: @jbytecode
Reviewers: @devarops, @FlorianK13
Archive: Pending

Status

status

Status badge code:

HTML: <a href="https://joss.theoj.org/papers/db01d4f5a02a319fe2b4c49f68e3f859"><img src="https://joss.theoj.org/papers/db01d4f5a02a319fe2b4c49f68e3f859/status.svg"></a>
Markdown: [![status](https://joss.theoj.org/papers/db01d4f5a02a319fe2b4c49f68e3f859/status.svg)](https://joss.theoj.org/papers/db01d4f5a02a319fe2b4c49f68e3f859)

Reviewers and authors:

Please avoid lengthy details of difficulties in the review thread. Instead, please create a new issue in the target repository and link to those issues (especially acceptance-blockers) by leaving comments in the review thread below. (For completists: if the target issue tracker is also on GitHub, linking the review thread in the issue or vice versa will create corresponding breadcrumb trails in the link target.)

Reviewer instructions & questions

@devarops & @FlorianK13, your review will be checklist based. Each of you will have a separate checklist that you should update when carrying out your review.
First of all you need to run this command in a separate comment to create the checklist:

@editorialbot generate my checklist

The reviewer guidelines are available here: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html. Any questions/concerns please let @jbytecode know.

Please start on your review when you are able, and be sure to complete your review in the next six weeks, at the very latest

Checklists

📝 Checklist for @devarops

📝 Checklist for @FlorianK13

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Hello humans, I'm @editorialbot, a robot that can help you with some common editorial tasks.

For a list of things I can do to help you, just type:

@editorialbot commands

For example, to regenerate the paper pdf after making changes in the paper's md or bib files, type:

@editorialbot generate pdf

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Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

OK DOIs

- 10.1145/3603707 is OK
- 10.1145/3603706 is OK
- 10.1145/3580305.3599776 is OK
- 10.14778/3229863.3229867 is OK
- 10.1145/3529190.3529222 is OK

MISSING DOIs

- None

INVALID DOIs

- None

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Software report:

github.com/AlDanial/cloc v 1.90  T=0.18 s (1879.6 files/s, 143082.1 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Python                         297           3177            824          14045
Markdown                        17           1594              0           4374
XML                              1              0              0            635
SVG                              5              5              2            213
YAML                             3              6             14            122
TOML                             1              5              1             72
TeX                              1              6              0             71
make                             1             11              0             42
Dockerfile                       2             11              2             33
INI                              1              0              0              5
Bourne Shell                     3              0              0              3
-------------------------------------------------------------------------------
SUM:                           332           4815            843          19615
-------------------------------------------------------------------------------

Commit count by author:

   356	Herminio Vazquez
    66	Virginie Grosboillot
    32	dependabot[bot]
     2	Demetrius Albuquerque
     1	Corey Runkel
     1	Daniel Saad
     1	Ryan Julyan
     1	Yuki
     1	dCodeYL

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Paper file info:

📄 Wordcount for paper.md is 1241

✅ The paper includes a Statement of need section

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License info:

✅ License found: Apache License 2.0 (Valid open source OSI approved license)

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👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

@jbytecode
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@devarops, @FlorianK13 - Dear reviewers, you can start with creating your task lists. In that list, there are several tasks.

Whenever you perform a task, you can check on the corresponding checkbox. Since the review process of JOSS is interactive, you can always interact with the author, the other reviewers, and the editor during the process. You can open issues and pull requests in the target repo. Please mention the url of this page in there so we can keep tracking what is going on out of our world.

Please create your tasklist by typing

@editorialbot generate my checklist

Thank you in advance.

@devarops
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devarops commented Apr 26, 2024

Review checklist for @devarops

Conflict of interest

  • I confirm that I have read the JOSS conflict of interest (COI) policy and that: I have no COIs with reviewing this work or that any perceived COIs have been waived by JOSS for the purpose of this review.

Code of Conduct

General checks

  • Repository: Is the source code for this software available at the https://github.com/canimus/cuallee?
  • License: Does the repository contain a plain-text LICENSE or COPYING file with the contents of an OSI approved software license?
  • Contribution and authorship: Has the submitting author (@canimus) made major contributions to the software? Does the full list of paper authors seem appropriate and complete?
  • Substantial scholarly effort: Does this submission meet the scope eligibility described in the JOSS guidelines
  • Data sharing: If the paper contains original data, data are accessible to the reviewers. If the paper contains no original data, please check this item.
  • Reproducibility: If the paper contains original results, results are entirely reproducible by reviewers. If the paper contains no original results, please check this item.
  • Human and animal research: If the paper contains original data research on humans subjects or animals, does it comply with JOSS's human participants research policy and/or animal research policy? If the paper contains no such data, please check this item.

Functionality

  • Installation: Does installation proceed as outlined in the documentation?
  • Functionality: Have the functional claims of the software been confirmed?
  • Performance: If there are any performance claims of the software, have they been confirmed? (If there are no claims, please check off this item.)

Documentation

  • A statement of need: Do the authors clearly state what problems the software is designed to solve and who the target audience is?
  • Installation instructions: Is there a clearly-stated list of dependencies? Ideally these should be handled with an automated package management solution.
  • Example usage: Do the authors include examples of how to use the software (ideally to solve real-world analysis problems).
  • Functionality documentation: Is the core functionality of the software documented to a satisfactory level (e.g., API method documentation)?
  • Automated tests: Are there automated tests or manual steps described so that the functionality of the software can be verified?
  • Community guidelines: Are there clear guidelines for third parties wishing to 1) Contribute to the software 2) Report issues or problems with the software 3) Seek support

Software paper

  • Summary: Has a clear description of the high-level functionality and purpose of the software for a diverse, non-specialist audience been provided?
  • A statement of need: Does the paper have a section titled 'Statement of need' that clearly states what problems the software is designed to solve, who the target audience is, and its relation to other work?
  • State of the field: Do the authors describe how this software compares to other commonly-used packages?
  • Quality of writing: Is the paper well written (i.e., it does not require editing for structure, language, or writing quality)?
  • References: Is the list of references complete, and is everything cited appropriately that should be cited (e.g., papers, datasets, software)? Do references in the text use the proper citation syntax?

Notes

Installation

pip install cuallee
Defaulting to user installation because normal site-packages is not writeable
Collecting cuallee
  Downloading cuallee-0.10.0-py3-none-any.whl (51 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 51.0/51.0 KB 1.8 MB/s eta 0:00:00
Collecting toolz>=0.12.0
  Downloading toolz-0.12.1-py3-none-any.whl (56 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 56.1/56.1 KB 2.7 MB/s eta 0:00:00
Collecting requests>=2.28
  Downloading requests-2.31.0-py3-none-any.whl (62 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 62.6/62.6 KB 3.8 MB/s eta 0:00:00
Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/lib/python3/dist-packages (from requests>=2.28->cuallee) (1.26.5)
Requirement already satisfied: certifi>=2017.4.17 in /usr/lib/python3/dist-packages (from requests>=2.28->cuallee) (2020.6.20)
Collecting charset-normalizer<4,>=2
  Downloading charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (142 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 142.1/142.1 KB 6.0 MB/s eta 0:00:00
Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3/dist-packages (from requests>=2.28->cuallee) (3.3)
Installing collected packages: toolz, charset-normalizer, requests, cuallee
  WARNING: The script normalizer is installed in '/home/evaro/.local/bin' which is not on PATH.
  Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
Successfully installed charset-normalizer-3.3.2 cuallee-0.10.0 requests-2.31.0 toolz-0.12.1

@FlorianK13
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FlorianK13 commented Apr 29, 2024

Review checklist for @FlorianK13

Conflict of interest

  • I confirm that I have read the JOSS conflict of interest (COI) policy and that: I have no COIs with reviewing this work or that any perceived COIs have been waived by JOSS for the purpose of this review.

Code of Conduct

General checks

  • Repository: Is the source code for this software available at the https://github.com/canimus/cuallee?
  • License: Does the repository contain a plain-text LICENSE or COPYING file with the contents of an OSI approved software license?
  • Contribution and authorship: Has the submitting author (@canimus) made major contributions to the software? Does the full list of paper authors seem appropriate and complete?
  • Substantial scholarly effort: Does this submission meet the scope eligibility described in the JOSS guidelines
  • Data sharing: If the paper contains original data, data are accessible to the reviewers. If the paper contains no original data, please check this item.
  • Reproducibility: If the paper contains original results, results are entirely reproducible by reviewers. If the paper contains no original results, please check this item.
  • Human and animal research: If the paper contains original data research on humans subjects or animals, does it comply with JOSS's human participants research policy and/or animal research policy? If the paper contains no such data, please check this item.

Functionality

  • Installation: Does installation proceed as outlined in the documentation?
  • Functionality: Have the functional claims of the software been confirmed?
  • Performance: If there are any performance claims of the software, have they been confirmed? (If there are no claims, please check off this item.)

Documentation

  • A statement of need: Do the authors clearly state what problems the software is designed to solve and who the target audience is?
  • Installation instructions: Is there a clearly-stated list of dependencies? Ideally these should be handled with an automated package management solution.
  • Example usage: Do the authors include examples of how to use the software (ideally to solve real-world analysis problems).
  • Functionality documentation: Is the core functionality of the software documented to a satisfactory level (e.g., API method documentation)?
  • Automated tests: Are there automated tests or manual steps described so that the functionality of the software can be verified?
  • Community guidelines: Are there clear guidelines for third parties wishing to 1) Contribute to the software 2) Report issues or problems with the software 3) Seek support

Software paper

  • Summary: Has a clear description of the high-level functionality and purpose of the software for a diverse, non-specialist audience been provided?
  • A statement of need: Does the paper have a section titled 'Statement of need' that clearly states what problems the software is designed to solve, who the target audience is, and its relation to other work?
  • State of the field: Do the authors describe how this software compares to other commonly-used packages?
  • Quality of writing: Is the paper well written (i.e., it does not require editing for structure, language, or writing quality)?
  • References: Is the list of references complete, and is everything cited appropriately that should be cited (e.g., papers, datasets, software)? Do references in the text use the proper citation syntax?

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