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[PRE REVIEW]: STReNGTHS, a python package to model and simulate reaction-diffusion systems #6153
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Hello human, 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:
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Five most similar historical JOSS papers: BioSimSpace: An interoperable Python framework for biomolecular simulation MCSD: A MATLAB Tool for Monte-Carlo Simulations of Diffusion in biological Tissues TESPy: Thermal Engineering Systems in Python SiSyPHE: A Python package for the Simulation of Systems of interacting mean-field Particles with High Efficiency PyStokes: phoresis and Stokesian hydrodynamics in Python |
@ThibaultFillion thanks for this submission. While I look for a handling editor please can you work on the following:
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@editorialbot invite @Nikoleta-v3 as editor |
Invitation to edit this submission sent! |
@editorialbot assign me as editor |
Assigned! @Nikoleta-v3 is now the editor |
@Kevin-Mattheus-Moerman thank you for having assigned an editor. |
@editorialbot check references |
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Great, thank you for fixing the DOI @ThibaultFillion. When you address the comments regarding the README, please ping me here 😄 Also, could you include the commit hash when you do? |
@Nikoleta-v3 Sorry for the delay. I tried to expand the README file as requested. |
Thank you @ThibaultFillion for your work on the Readme! I just have two questions:
Are you familiar with the package pytest? I recommend pytest because it works similarly to your run file. It runs all files that have "test" in the name and each function that also has "test" in its name, providing more informative output. This is what it looks like when I run You can also run I'm not saying you should use At this point, could you also please check out this page: https://reviewers.joss.theoj.org/lookup and suggest at least three reviewers? 😄 |
@Nikoleta-v3 Sorry again for the delay. To answer your questions :
For the reviewers, we recommend :
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Hello @ThibaultFillion ! I am really sorry for the delay with your submission. The past month has been overwhelming. I am going to start looking for reviewers right away. |
👋🏻 @ggmirandac @ASinanSaglam would any of 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/review_criteria.html The submission I'd like you to review is titled: "STReNGTHS, a python package to model and simulate reaction-diffusion systems". You can find more information at the top of this Github issue 🆙 Please let me know if you're available 😄 Thank you! |
@Nikoleta-v3 No problem, thank you for looking for reviewers ! |
👋🏻 @Wrzlprmft @parikshitbajpai would any of 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/review_criteria.html The submission I'd like you to review is titled: "STReNGTHS, a python package to model and simulate reaction-diffusion systems". You can find more information at the top of this Github issue 🆙 Please let me know if you're available 😄 Thank you! |
Generally yes, but I am very busy until the mid of April, so I won’t be able to even start the review before then. At a very first glance, the paper seems rather long (for JOSS’s standards) and contains things like installation instructions that do not need to be there. |
Yes, I can review this paper. |
@Wrzlprmft, thanks for getting back to me! 🙏🏻 🚀 No problem at all; I will try to find another reviewer. If I can't find one by mid-April, I might ping you again. Appreciate your feedback! You're right about the length of the paper. Once we get into the review process, I'll make sure to give the author some pointers on that. |
@editorialbot add @parikshitbajpai as reviewer |
@parikshitbajpai added to the reviewers list! |
@corettialessandro @shivupa would any of 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/review_criteria.html The submission I'd like you to review is titled: "STReNGTHS, a python package to model and simulate reaction-diffusion systems". You can find more information at the top of this Github issue 🆙 Please let me know if you're available 😄 Thank you! |
Hi I'm actually in the same situation of having low bandwidth until April, and this also feels a bit too far outside of my area of expertise. I apologize for the difficulty, but I wouldn't feel confident reviewing this work. |
No problem at all @shivupa! Thank you very much for your reply 🚀 |
Sorry for the late answer, I was trying to find a replacement, but I did not succeed. At the moment my schedule is really tight, so I would not be able to provide a good quality review. I am sorry. |
@Wrzlprmft Thank you for your feedback, I'll remove the installation instructions from the summary. |
Thank you both for your replies! No problem at all 😄 I really hope things become a bit less hectic for you in the next month!
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👋🏻 @jakryd @maxscheurer would any of 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/review_criteria.html The submission I'd like you to review is titled: "STReNGTHS, a python package to model and simulate reaction-diffusion systems". You can find more information at the top of this Github issue 🆙 Please let me know if you're available 😄 Thank you! |
Sure! I would be happy to review this. |
@editorialbot add @jakryd as reviewer |
@jakryd added to the reviewers list! |
@editorialbot start review |
OK, I've started the review over in #6495. |
@jakryd Thank you for accepting ! |
Submitting author: @ThibaultFillion (Thibault Fillion)
Repository: https://github.com/ThibaultFillion/strengths
Branch with paper.md (empty if default branch): paper
Version: v0.0.8
Editor: @Nikoleta-v3
Reviewers: @parikshitbajpai, @jakryd
Managing EiC: Kevin M. Moerman
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