pyDeltaRCM

pyDeltaRCM: a flexible numerical delta model - Published in JOSS (2021)

https://github.com/deltarcm/pydeltarcm

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 13 DOI reference(s) in README and JOSS metadata
  • Academic publication links
    Links to: joss.theoj.org
  • Committers with academic emails
    6 of 10 committers (60.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
    Published in Journal of Open Source Software

Keywords from Contributors

numerical-modeling

Scientific Fields

Earth and Environmental Sciences Physical Sciences - 62% confidence
Last synced: 6 months ago · JSON representation

Repository

Delta model with a reduced-complexity approach

Basic Info
Statistics
  • Stars: 20
  • Watchers: 3
  • Forks: 12
  • Open Issues: 30
  • Releases: 13
Created about 7 years ago · Last pushed 8 months ago
Metadata Files
Readme License Code of conduct

README.rst

**************
pyDeltaRCM
**************

.. image:: https://badge.fury.io/py/pyDeltaRCM.svg
    :target: https://badge.fury.io/py/pyDeltaRCM

.. image:: https://joss.theoj.org/papers/10.21105/joss.03398/status.svg
   :target: https://doi.org/10.21105/joss.03398

.. image:: https://github.com/DeltaRCM/pyDeltaRCM/actions/workflows/build.yml/badge.svg
    :target: https://github.com/DeltaRCM/pyDeltaRCM/actions

.. image:: https://codecov.io/gh/DeltaRCM/pyDeltaRCM/branch/develop/graph/badge.svg
    :target: https://codecov.io/gh/DeltaRCM/pyDeltaRCM

.. image:: https://app.codacy.com/project/badge/Grade/1c137d0227914741a9ba09f0b00a49a7
    :target: https://app.codacy.com/gh/DeltaRCM/pyDeltaRCM/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_grade




*pyDeltaRCM* is a computationally efficient, free and open source, and easy-to-customize numerical delta model based on the original DeltaRCM model design (`Matlab deltaRCM `_ model by Man Liang; `Liang et al., 2015 `_).
*pyDeltaRCM* delivers improved model stability and capabilities, infrastructure to support exploration with minimal boilerplate code, and establishes an approach to extending model capabilities that ensures reproducible and comparable studies.


.. figure:: https://deltarcm.org/pyDeltaRCM/_images/cover.png

    Weighted random walks for 20 water parcels, in a *pyDeltaRCM* model run with default parameters.


Documentation
#############

`Find the complete documentation here `_.

Documentation includes an `installation guide `_, a thorough `guide for users `_, detailed `API documentation for developers `_, a `plethora of examples `_ to use and develop pyDeltaRCM in novel scientific experiments, and more!


Installation
############

See our complete `installation guide `_, especially if you are a developer planning to modify or contribute code (`developer installation guide `_), or if you are new to managing Python `venv` or `conda` environments.

For a quick installation into an existing Python 3.x environment:

.. code:: console

    $ pip install pyDeltaRCM


Executing the model
###################

We recommend you check out our `pyDeltaRCM in 10 minutes tutorial `_, which is part of our documentation.

Beyond that brief tutorial, we have a comprehensive `User Documentation `_ and `Developer Documentation `_ to check out.


Citing pyDeltaRCM
#################

When citing *pyDeltaRCM*, please cite the `JOSS paper `_:

	Moodie et al., (2021). pyDeltaRCM: a flexible numerical delta model. Journal of Open Source Software, 6(64), 3398, https://doi.org/10.21105/joss.03398
	
If you use BibTeX, you can add *pyDeltaRCM* to your `.bib` file using the following code:

.. code:: console

	@article{Moodie2021,
	doi = {10.21105/joss.03398},
	url = {https://doi.org/10.21105/joss.03398},
	year = {2021},
	publisher = {The Open Journal},
	volume = {6},
	number = {64},
	pages = {3398},
	author = {Andrew J. Moodie and Jayaram Hariharan and Eric Barefoot and Paola Passalacqua},
	title = {*pyDeltaRCM*: a flexible numerical delta model},
	journal = {Journal of Open Source Software}
	}


Additional notes
################

This repository no longer includes the `Basic Model Interface (BMI) `_ wrapper to the DeltaRCM model.
*pyDeltaRCM* maintains BMI compatibility through another repository (`the BMI_pyDeltaRCM model `_).

Owner

  • Name: DeltaRCM
  • Login: DeltaRCM
  • Kind: organization

A community of people working on modeling deltas with a reduced-complexity approach

JOSS Publication

pyDeltaRCM: a flexible numerical delta model
Published
August 26, 2021
Volume 6, Issue 64, Page 3398
Authors
Andrew J. Moodie ORCID
Department of Civil, Architectural, and Environmental Engineering, University of Texas at Austin, Austin, TX, USA
Jayaram Hariharan ORCID
Department of Civil, Architectural, and Environmental Engineering, University of Texas at Austin, Austin, TX, USA
Eric Barefoot ORCID
Department of Earth, Environmental and Planetary Sciences, Rice University, Houston, TX, USA
Paola Passalacqua ORCID
Department of Civil, Architectural, and Environmental Engineering, University of Texas at Austin, Austin, TX, USA
Editor
Katy Barnhart ORCID
Tags
sedimentology deltas stratigraphy

GitHub Events

Total
  • Create event: 1
  • Issues event: 2
  • Release event: 1
  • Watch event: 3
  • Issue comment event: 12
  • Push event: 9
  • Pull request event: 10
  • Fork event: 2
Last Year
  • Create event: 1
  • Issues event: 2
  • Release event: 1
  • Watch event: 3
  • Issue comment event: 12
  • Push event: 9
  • Pull request event: 10
  • Fork event: 2

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 723
  • Total Committers: 10
  • Avg Commits per committer: 72.3
  • Development Distribution Score (DDS): 0.631
Past Year
  • Commits: 28
  • Committers: 1
  • Avg Commits per committer: 28.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Andrew Moodie a****e@u****u 267
amoodie a****e@r****u 204
JayH j****n@u****u 136
Eric Barefoot e****t@g****m 49
Mariela Perignon m****n@g****m 34
Mark Piper m****r@c****u 13
Andrew Moodie a****2@g****m 13
deltarcm-helper d****r 4
Richard Barnes r****s@u****u 2
Andrew Moodie a****e@l****u 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 31
  • Total pull requests: 96
  • Average time to close issues: 7 months
  • Average time to close pull requests: about 1 month
  • Total issue authors: 9
  • Total pull request authors: 5
  • Average comments per issue: 1.19
  • Average comments per pull request: 1.38
  • Merged pull requests: 81
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 12
  • Average time to close issues: N/A
  • Average time to close pull requests: 2 days
  • Issue authors: 1
  • Pull request authors: 2
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.58
  • Merged pull requests: 8
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • amoodie (15)
  • elbeejay (10)
  • Xueyao-Chen (1)
  • paolaPassaH2O (1)
  • Lvulis (1)
  • jhnienhuis (1)
  • vsoch (1)
  • zsylvester (1)
  • kbarnhart (1)
Pull Request Authors
  • amoodie (73)
  • elbeejay (20)
  • r-barnes (3)
  • codacy-badger (1)
  • ericbarefoot (1)
Top Labels
Issue Labels
documentation (18) enhancement (6) good first issue (4) bug (4) help wanted (3) discussion (3) use case example (1) style (1)
Pull Request Labels
enhancement (16) bug (16) documentation (6) style (4) testing (4) discussion (1)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 2,815 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 12
  • Total maintainers: 1
pypi.org: pydeltarcm

Python version of original Matlab DeltaRCM

  • Versions: 12
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 2,815 Last month
Rankings
Dependent packages count: 10.1%
Forks count: 11.9%
Stargazers count: 15.2%
Average: 16.4%
Dependent repos count: 21.6%
Downloads: 23.0%
Maintainers (1)
Last synced: 6 months ago

Dependencies

requirements-docs.txt pypi
  • sphinx *
requirements-test.txt pypi
  • pytest * test
  • pytest-mpl * test
requirements.txt pypi
  • matplotlib *
  • netCDF4 *
  • numba *
  • numpy *
  • pyyaml >=5.1
  • scipy >=1.5
setup.py pypi
  • matplotlib *
  • netCDF4 *
  • numba *
  • numpy *
  • pyyaml *
  • scipy *
.github/workflows/build.yml actions
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  • actions/checkout v4 composite
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.github/workflows/deploy.yml actions
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