Joss-reviews: [PRE REVIEW]: kalepy: a python package for kernel density estimation and sampling

[whedon]

Submitting author: @lzkelley (Luke Zoltan Kelley)
Repository: https://github.com/lzkelley/kalepy
Version: v1.0
Editor: @arfon
Reviewers: @williamjameshandley, @kexinrong
Managing EiC: Daniel S. Katz

:warning: JOSS reduced service mode :warning:

Due to the challenges of the COVID-19 pandemic, JOSS is currently operating in a "reduced service mode". You can read more about what that means in our blog post.

Author instructions

Thanks for submitting your paper to JOSS @lzkelley. Currently, there isn't an JOSS editor assigned to your paper.

@lzkelley if you have any suggestions for potential reviewers then please mention them here in this thread (without tagging them with an @). In addition, this list of people have already agreed to review for JOSS and may be suitable for this submission (please start at the bottom of the list).

Editor instructions

The JOSS submission bot @whedon is here to help you find and assign reviewers and start the main review. To find out what @whedon can do for you type:

@whedon commands

[whedon]

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

:warning: JOSS reduced service mode :warning:

Due to the challenges of the COVID-19 pandemic, JOSS is currently operating in a "reduced service mode". You can read more about what that means in our blog post.

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

@whedon commands

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

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[whedon]

Software report (experimental):

github.com/AlDanial/cloc v 1.84  T=0.29 s (131.2 files/s, 55175.1 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Python                          15           1521           1197           4177
Jupyter Notebook                10              0           5910           2011
Markdown                         5            165              0            547
TeX                              1             33              0            249
DOS Batch                        1              8              1             26
YAML                             1              4              4             23
reStructuredText                 1             22             16             17
Bourne Shell                     3              3             10             14
make                             1              4              6              9
-------------------------------------------------------------------------------
SUM:                            38           1760           7144           7073
-------------------------------------------------------------------------------


Statistical information for the repository '422f05301b783c16c59f6d94' was
gathered on 2020/10/13.
The following historical commit information, by author, was found:

Author                     Commits    Insertions      Deletions    % of changes
lzkelley                       221         14718           7825          100.00

Below are the number of rows from each author that have survived and are still
intact in the current revision:

Author                     Rows      Stability          Age       % in comments
lzkelley                   6895           46.8          9.8                9.78

[whedon]

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

OK DOIs

- 10.1137/1114019 is OK
- 10.1214/aoms/1177704472 is OK
- 10.1214/aoms/1177728190 is OK
- 10.1093/biomet/66.3.605 is OK
- 10.1038/s41592-019-0686-2 is OK
- 10.5281/zenodo.592845 is OK
- 10.5281/zenodo.2392268 is OK
- 10.1038/s41586-020-2649-2 is OK
- 10.1109/MCSE.2007.53 is OK
- 10.1093/mnras/staa2361 is OK
- 10.3847/2041-8213/abb1bf is OK
- 10.21105/joss.00024 is OK

MISSING DOIs

- 10.1093/imamat/20.3.335 may be a valid DOI for title: A review of some non-parametric methods of density estimation
- 10.1093/biomet/65.1.1 may be a valid DOI for title: Choosing the window width when estimating a density
- 10.1109/mcse.2007.55 may be a valid DOI for title: Matplotlib: A 2D graphics environment

INVALID DOIs

- None

[whedon]

:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:

[danielskatz]

👋 @arfon - are you able to edit this submission?

[danielskatz]

@whedon invite @arfon as editor

[whedon]

@arfon has been invited to edit this submission.

[arfon]

@whedon assign me as editor

[whedon]

OK, the editor is @arfon

[arfon]

:wave: @lzkelley, thanks for your submission to JOSS! A few questions to get us started here:

• Is this submission associated with a AAS publication?
• Could you please take a look at the DOI suggestions from Whedon above and if they are correct, add them to your BibTeX file?
• Do you have any suggestions for people who might be able to give this submission a good review?

[arfon]

:wave: @pmelchior - would you be willing to review this submission for JOSS?

We carry out our checklist-driven reviews here in GitHub issues and follow these guidelines: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html

The software (_kalepy: a python package for kernel density estimation and sampling_) is here and the short paper here.

[pmelchior]

Sorry, swamped right now.

[arfon]

Sorry, swamped right now.

NP, thanks for the quick response.

[lzkelley]

Hi @arfon sorry for the slow reply, and thanks for handling my submission!

👋 @lzkelley, thanks for your submission to JOSS! A few questions to get us started here:

• Is this submission associated with a AAS publication?

No, not in particular.

• Could you please take a look at the DOI suggestions from Whedon above and if they are correct, add them to your BibTeX file?

Two of them were correct and have been added (in the dev branch).

• Do you have any suggestions for people who might be able to give this submission a good review?

Unfortunately I don't. I only know a few people who have worked on open-source projects and I don't think they'd be particularly well suited for this in particular.

[arfon]

:wave: @kexinrong @williamjameshandley - would you be willing to review this submission for JOSS?

We carry out our checklist-driven reviews here in GitHub issues and follow these guidelines: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html

The software (_kalepy: a python package for kernel density estimation and sampling_) is here and the short paper here.

[williamjameshandley]

Happy to help out with this, should have time next week to start the review.

[kexinrong]

Also happy to help out and will start reviewing next week!

[arfon]

Wonderful, thanks so much @williamjameshandley and @kexinrong! I'll set up the review issue now.

[arfon]

@whedon add @williamjameshandley as reviewer

[whedon]

OK, @williamjameshandley is now a reviewer

[arfon]

@whedon add @kexinrong as reviewer

[whedon]

OK, @kexinrong is now a reviewer

[arfon]

@whedon start review

[whedon]

OK, I've started the review over in https://github.com/openjournals/joss-reviews/issues/2784.

[arfon]

@williamjameshandley, @kexinrong - see you over in #2784 where the actual review will take place.