-
-
Notifications
You must be signed in to change notification settings - Fork 39
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
[PRE REVIEW]: Pydre: A Python package for driving simulation data reduction #7706
Comments
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:
For example, to regenerate the paper pdf after making changes in the paper's md or bib files, type:
|
|
Software report:
Commit count by author:
|
Paper file info: 📄 Wordcount for ✅ The paper includes a |
License info: 🟡 License found: |
Five most similar historical JOSS papers: Simulation Decomposition in Python Pybehave: a hardware agnostic, Python-based framework for controlling behavioral neuroscience experiments PySD: System Dynamics Modeling in Python RidePy: A fast and modular framework for simulating ridepooling systems BoxKit: A Python library to manage analysis of block-structured simulation datasets |
👋 @tkerwin – could you take a look a this list of potential reviewers and identify a few people who would be good candidates to review this submission? |
Perhaps users ajoer and fredshone would be interested. |
Submitting author: @tkerwin (Thomas Kerwin)
Repository: https://github.com/OSUDSL/pydre
Branch with paper.md (empty if default branch): joss
Version: v24.0.2
Editor: Pending
Reviewers: Pending
Managing EiC: Arfon Smith
Status
Status badge code:
Author instructions
Thanks for submitting your paper to JOSS @tkerwin. Currently, there isn't a JOSS editor assigned to your paper.
@tkerwin if you have any suggestions for potential reviewers then please mention them here in this thread (without tagging them with an @). You can search the list of people that have already agreed to review and may be suitable for this submission.
Editor instructions
The JOSS submission bot @editorialbot is here to help you find and assign reviewers and start the main review. To find out what @editorialbot can do for you type:
The text was updated successfully, but these errors were encountered: