Sarracen

Sarracen: a Python package for analysis and visualization of smoothed particle hydrodynamics data - Published in JOSS (2023)

https://github.com/ttricco/sarracen

Science Score: 95.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 5 DOI reference(s) in README and JOSS metadata
  • Academic publication links
  • Committers with academic emails
    3 of 15 committers (20.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
    Published in Journal of Open Source Software

Scientific Fields

Mathematics Computer Science - 84% confidence
Last synced: 6 months ago · JSON representation

Repository

A Python library for smoothed particle hydrodynamics (SPH) analysis and visualization.

Basic Info
Statistics
  • Stars: 19
  • Watchers: 3
  • Forks: 20
  • Open Issues: 13
  • Releases: 6
Created almost 4 years ago · Last pushed 6 months ago
Metadata Files
Readme Contributing Code of conduct

README.md

Sarracen

A Python library for smoothed particle hydrodynamics (SPH) analysis and visualization.

About

Sarracen is built upon the pandas, Matplotlib and NumPy libraries. It can load SPH particle data into a pandas DataFrame object that has been extended to allow for rendering of particle data and interpolation of particles to fixed grids. Additionally, this allows for access to the rich landscape of Python scientific and statistical libraries. All SPH functions offer multi-threaded CPU and CUDA implementations. Our intended application is for astrophysical SPH data.

Installation

The latest stable release and associated dependencies can be installed from PyPi:

pip install sarracen

This is the recommended way to install Sarracen.

To install the latest development snapshot, install using this GitHub repository. Either clone the repository and add it to your path so that it can be imported, or install directly through pip:

pip install git+https://github.com/ttricco/sarracen.git

Documentation

Sarracen's documentation is hosted online at https://sarracen.readthedocs.io.

Contributing

Contributions are welcomed and appreciated. Here are some ways to get involved: - Submitting bug reports. - Feature requests or suggestions. - Improving the documentation or providing examples. - Writing code to add optimizations or new features.

Please use the GitHub issue tracker to raise any bugs or to submit feature requests. If something does not work as you might expect, please let us know. If there are features that you feel are missing, please let us know.

Code submissions should be submitted as a pull request. Make sure that all existing unit tests successfully pass, and please add any new unit tests that are relevant. Documentation changes should also be submitted as a pull request.

If you are stuck or need help, raising an issue is a good place to start. This helps us keep common issues in public view. Feel free to also email with questions.

Please note that we adhere to a code of conduct.

Citation

Please cite the paper if you use Sarracen within your work. Sarracen is published with the Journal of Open Source Software (DOI: 10.21105/joss.05263).

@ARTICLE{Sarracen, author = {{Harris}, Andrew and {Tricco}, Terrence}, title = "{Sarracen: a Python package for analysis and visualization of smoothed particle hydrodynamics data}", journal = {The Journal of Open Source Software}, keywords = {smoothed particle hydrodynamics, data visualization, Python, data science, Jupyter Notebook, astrophysics, astronomy}, year = 2023, month = jun, volume = {8}, number = {86}, eid = {5263}, pages = {5263}, doi = {10.21105/joss.05263}, }

Owner

  • Name: Terrence Tricco
  • Login: ttricco
  • Kind: user

JOSS Publication

Sarracen: a Python package for analysis and visualization of smoothed particle hydrodynamics data
Published
June 21, 2023
Volume 8, Issue 86, Page 5263
Authors
Andrew Harris
Memorial University of Newfoundland, Canada
Terrence S. Tricco ORCID
Memorial University of Newfoundland, Canada
Editor
Warrick Ball ORCID
Tags
Jupyter Notebook smoothed particle hydrodynamics astronomy astrophysics data visualization data science

GitHub Events

Total
  • Issues event: 3
  • Watch event: 4
  • Delete event: 3
  • Issue comment event: 6
  • Push event: 13
  • Pull request review comment event: 26
  • Pull request review event: 22
  • Pull request event: 34
  • Fork event: 5
  • Create event: 2
Last Year
  • Issues event: 3
  • Watch event: 4
  • Delete event: 3
  • Issue comment event: 6
  • Push event: 13
  • Pull request review comment event: 26
  • Pull request review event: 22
  • Pull request event: 34
  • Fork event: 5
  • Create event: 2

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 332
  • Total Committers: 15
  • Avg Commits per committer: 22.133
  • Development Distribution Score (DDS): 0.59
Past Year
  • Commits: 59
  • Committers: 7
  • Avg Commits per committer: 8.429
  • Development Distribution Score (DDS): 0.661
Top Committers
Name Email Commits
Terrence Tricco t****o@m****a 136
Andrew Harris a****s@m****a 128
Fathima Manooja f****a@m****a 20
Fathima i****3@g****m 18
Yona Lapeyre y****e@e****r 8
Vasundhara Prasad v****5@c****k 5
Jean-Francois Gonzalez J****z@e****r 3
j-p-terry j****y@u****u 3
katya.nazarenko k****3@m****a 3
n2owens o****n@m****a 2
Sahl Rowther s****7@a****r 2
Antoine Alaguero 1****A 1
Griselda Arroyo Chavez g****h@g****m 1
Rebecca Nealon r****n@w****k 1
Sahl Rowther s****7@a****r 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 31
  • Total pull requests: 125
  • Average time to close issues: 5 months
  • Average time to close pull requests: 10 days
  • Total issue authors: 13
  • Total pull request authors: 15
  • Average comments per issue: 0.97
  • Average comments per pull request: 0.12
  • Merged pull requests: 101
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 2
  • Pull requests: 44
  • Average time to close issues: N/A
  • Average time to close pull requests: 11 days
  • Issue authors: 2
  • Pull request authors: 8
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.11
  • Merged pull requests: 26
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • ttricco (14)
  • casshall (3)
  • becnealon (2)
  • JBorrow (2)
  • zachboots (2)
  • danieljprice (1)
  • hlim88 (1)
  • Shigaharuki3012 (1)
  • JackNarvaez (1)
  • svaverbe (1)
  • adamkoval (1)
  • emborchert (1)
  • ostueker (1)
Pull Request Authors
  • AndrewHarris709 (39)
  • ttricco (31)
  • FathimaCSgithub (14)
  • vasu-prasad (10)
  • j-f-gonzalez (6)
  • y-lapeyre (4)
  • becnealon (4)
  • kn8483 (4)
  • JackNarvaez (2)
  • g-arroyo (2)
  • sahl95 (2)
  • n2owens (2)
  • nvadood (2)
  • j-p-terry (2)
  • AlagueroA (1)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 49 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 7
  • Total maintainers: 1
pypi.org: sarracen

SPH analysis and visualization

  • Versions: 7
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 49 Last month
Rankings
Dependent packages count: 6.6%
Forks count: 17.3%
Downloads: 18.1%
Average: 18.2%
Stargazers count: 18.6%
Dependent repos count: 30.6%
Maintainers (1)
Last synced: 6 months ago

Dependencies

pyproject.toml pypi
  • matplotlib >=3.6
  • numba >=0.55.1
  • pandas >=1.4
  • scipy >=1.8.0
  • seaborn >=0.11
requirements.txt pypi
  • matplotlib >=3.5.2
  • numba >=0.55.1
  • pandas >=1.4.2
  • scipy >=1.8.0
  • seaborn >=0.11.2
.github/workflows/joss_paper.yml actions
  • actions/checkout v3 composite
  • actions/upload-artifact v1 composite
  • openjournals/openjournals-draft-action master composite