NetworkSedimentTransporter

NetworkSedimentTransporter: A Landlab component for bed material transport through river networks - Published in JOSS (2020)

https://github.com/landlab/landlab

Science Score: 100.0%

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

✓
CITATION.cff file
Found CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
✓
.zenodo.json file
Found .zenodo.json file
✓
DOI references
Found 4 DOI reference(s) in README and JOSS metadata
✓
Academic publication links
Links to: zenodo.org
✓
Committers with academic emails
15 of 43 committers (34.9%) from academic institutions
○
Institutional organization owner
✓
JOSS paper metadata
Published in Journal of Open Source Software

Keywords from Contributors

numerical-modeling geosciences mesh particles bmi csdms cxx interface exoplanet energy-system

Scientific Fields

Economics Social Sciences - 85% confidence

Sociology Social Sciences - 64% confidence

Last synced: 4 months ago · JSON representation ·

Repository

Landlab codebase, wiki, and tests

Basic Info

Host: GitHub
Owner: landlab
License: mit
Language: Python
Default Branch: master
Homepage: https://landlab.readthedocs.io/
Size: 265 MB

Statistics

Stars: 393
Watchers: 30
Forks: 347
Open Issues: 412
Releases: 9

Created over 11 years ago · Last pushed 4 months ago

Metadata Files

Readme Changelog Contributing License Citation Authors

Landlab

What does Landlab do?

Landlab is an open-source Python-language package for numerical modeling of Earth surface dynamics. It contains

A gridding engine which represents the model domain. Regular and irregular grids are supported.
A library of process components, each of which represents a physical process (e.g., generation of rain, erosion by flowing water). These components have a common interface and can be combined based on a user's needs.
Utilities that support general numerical methods, file input/output, and visualization.

In addition Landlab contains a set of Jupyter notebook tutorials providing an introduction to core concepts and examples of use.

Landlab was designed for disciplines that quantify Earth surface dynamics such as geomorphology, hydrology, glaciology, and stratigraphy. It can also be used in related fields. Scientists who use this type of model often build their own unique model from the ground up, re-coding the basic building blocks of their landscape model rather than taking advantage of codes that have already been written. Landlab saves practitioners from the need for this kind of re-invention by providing standardized components that they can re-use.

Watch the webinar Landlab Toolkit Overview at CSDMS to learn more.

Read the documentation on ReadTheDocs!

Installation

To install the latest release of landlab using pip, simply run the following in your terminal of choice:

bash $ pip install landlab

For a full description of how to install Landlab, including using mamba/conda, please see the documentation for our installation instructions.

Source code

If you would like to modify or contribute code to Landlab or use the very latest development version, please see the documentation that describes how to install landlab from source.

Are there any examples of using Landlab I can look at?

The Landlab package contains a directory, landlab/notebooks, with Jupyter Notebooks describing core concepts and giving examples of using components. The file landlab/notebooks/welcome.ipynb provides a table of contents to the notebooks and is the recommended starting place. Additionally, there are a set of notebooks curated to teach physical processes located in the directory landlab/notebooks/teaching.

Run on Binder

To launch an instance of Binder and explore the notebooks click here.

To launch a Binder instance that goes straight to the teaching notebooks click here.

Run on EarthscapeHub

The Landlab notebooks can also be run on EarthscapeHub. Visit this link to learn how to sign up for a free account. Try the example notebooks on the explore or jupyter Hub instance. Or, use the teaching notebooks on the explore or jupyter Hub instance. Be sure to run all notebooks with the CSDMS kernel.

License

landlab is licensed under the MIT License.

Citing Landlab

If you use any portion of Landlab, please see the documentation for our citation guidelines.

Contact

The recommended way to contact the Landlab team is with a GitHub Issue.

Bug reports: Please make an Issue describing the bug so we can address it, or work with you to address it. Please try to provide a minimal, reproducible example.
Documentation: If something in our documentation is not clear to you, please make an issue describing the what isn't clear. Someone will tag the most appropriate member of the core Landlab team. We will work to clarify your question and revise the documentation so that it is clear for the next user.

Keep in touch with the latest landlab news by following us on Twitter.

During workshops and clinics, we sometimes use the Landlab Slack channel.

Owner

Name: Landlab
Login: landlab
Kind: organization

Website: http://landlab.github.io
Repositories: 24
Profile: https://github.com/landlab

a python toolkit for for modeling earth surface processes

JOSS Publication

Lithology: A Landlab submodule for spatially variable rock properties

Published

October 17, 2018

DOI

10.21105/joss.00979

Volume 3, Issue 30, Page 979

Authors

Katherine R. Barnhart

University of Colorado at Boulder, Department of Geological Sciences, University of Colorado at Boulder, Cooperative Institute for Research in Environmental Sciences

Eric Hutton

University of Colorado at Boulder, Community Surface Dynamics Modeling System Integration Facility, University of Colorado at Boulder, Institute for Arctic and Alpine Research

Nicole M. Gasparini

Tulane University, Department of Earth and Environmental Sciences

Gregory E. Tucker

University of Colorado at Boulder, Department of Geological Sciences, University of Colorado at Boulder, Cooperative Institute for Research in Environmental Sciences, University of Colorado at Boulder, Community Surface Dynamics Modeling System Integration Facility

Editor

Kristen Thyng

Citation (CITATION.cff)

# YAML 1.2
---
cff-version: "1.2.0"
message: "If you use this software, please cite it using these metadata."
abstract : "Landlab is an open-source Python-language package for numerical modeling of Earth surface dynamics."
type: software
authors:
  -
    family-names: Hutton
    given-names: Eric
    orcid: "https://orcid.org/0000-0002-5864-6459"
  -
    family-names: Barnhart
    given-names: Katy
    orcid: "https://orcid.org/0000-0001-5682-455X"
  -
    family-names: Hobley
    given-names: Dan
    orcid: "https://orcid.org/0000-0003-2371-0534"
  -
    family-names: Tucker
    given-names: Greg
    orcid: "https://orcid.org/0000-0003-0364-5800"
  -
    family-names: Nudurupati
    given-names: Sai
    orcid: "https://orcid.org/0000-0002-2090-7561"
  -
    family-names: Adams
    given-names: Jordan
    orcid: "https://orcid.org/0000-0003-0137-9879"
  -
    family-names: Gasparini
    given-names: Nicole
    orcid: "https://orcid.org/0000-0002-0803-3697"
  -
    family-names: Shobe
    given-names: Charlie
    orcid: "https://orcid.org/0000-0003-3015-1283"
  -
    family-names: Strauch
    given-names: Ronda
    orcid: "https://orcid.org/0000-0003-3093-8449"
  -
    family-names: Knuth
    given-names: Jenny
    orcid: "https://orcid.org/0000-0001-7066-7992"
  -
    family-names: Mouchene
    given-names: Margaux
    orcid: "https://orcid.org/0000-0002-8243-3517"
  -
    family-names: Lyons
    given-names: Nathan
    orcid: "https://orcid.org/0000-0001-6965-3374"
  -
    family-names: Litwin
    given-names: David
    orcid: "https://orcid.org/0000-0002-8097-4029"
  -
    family-names: Glade
    given-names: Rachel
    orcid: "https://orcid.org/0000-0002-0345-1953"
  -
    name: Giuseppecipolla95
  -
    family-names: Manaster
    given-names: Amanda
  -
    family-names: Abby
    given-names: Langston
  -
    family-names: Thyng
    given-names: Kristen
    orcid: "https://orcid.org/0000-0002-8746-614X"
  -
    family-names: Rengers
    given-names: Francis
    orcid: "https://orcid.org/0000-0002-1825-0943"
title: "landlab"
identifiers:
  -
    type: doi
    value: 10.5194/esurf-8-379-2020
    description: >-
      "Short communication: Landlab v2.0: A software package for
      Earth surface dynamics". Earth Surface Dynamics Discussions,
      May 2020, Volume 8, Issue 2
  -
    type: doi
    value: 10.5194/esurf-5-21-2017
    description: >-
      "Creative computing with Landlab: an open-source
       toolkit for building, coupling, and exploring
       two-dimensional numerical models of
       Earth-surface dynamics". Earth Surface Dynamics,
       January 2017, Volume 5, Issue 1
  -
    type: doi
    value: 10.5281/zenodo.3776837
    description: The versioned DOI for the version 2.0.1 of landlab.
  -
    type: doi
    value: 10.5281/zenodo.595872
    description: The concept DOI for the collection containing all versions of landlab.
repository-code: "https://github.com/landlab/landlab"
url: "https://landlab.csdms.io"
date-released: "2020-04-29"
keywords:
  - "bmi"
  - "component modeling"
  - "earth science"
  - "gridding engine"
  - "model coupling"
  - "numerical modeling"
license: MIT
doi: 10.5281/zenodo.595872
...

GitHub Events

Total

Create event: 154
Issues event: 29
Watch event: 36
Delete event: 149
Member event: 3
Issue comment event: 256
Push event: 403
Pull request review event: 121
Pull request review comment event: 105
Pull request event: 306
Fork event: 14

Last Year

Create event: 156
Issues event: 29
Watch event: 36
Delete event: 151
Member event: 3
Issue comment event: 258
Push event: 408
Pull request review event: 124
Pull request review comment event: 106
Pull request event: 310
Fork event: 14

Committers

Last synced: 5 months ago

All Time

Total Commits: 9,045
Total Committers: 43
Avg Commits per committer: 210.349
Development Distribution Score (DDS): 0.534

Past Year

Commits: 634
Committers: 13
Avg Commits per committer: 48.769
Development Distribution Score (DDS): 0.166

Top Committers

Name	Email	Commits
Eric Hutton	m**n@g**m	4,215
Katy Barnhart	k**t@u**v	1,126
Dan Hobley	d**y@g**m	1,025
Greg Tucker	g**r@c**u	890
dependabot[bot]	4****]	325
Jordan Adams	j**5@t**u	262
Sai Nudurupati	s**u@u**u	257
Nicole M Gasparini	n**r@g**m	228
Laurent Roberge	l**e@t**u	94
pre-commit-ci[bot]	6****]	82
Charlie Shobe	c**e@e**u	69
David Litwin	d**n@p**t	62
Ronda Strauch	r**h@u**u	49
Benjamin Campforts	b**s@g**m	44
Jenny Knuth	i**o@g**m	44
Sebastien Lenard	s**d@g**m	43
Margaux Mouchene	m**e@l**t	40
Berkan M	4****5	28
Nathan Lyons	n**s@g**m	27
Amanda Alvis	a**e@u**u	20
Jeffrey Keck	k**e@g**m	18
Allison Pfeiffer	p**f@u**u	17
angelmons	a**e@u**u	14
Rachel Glade	r**e@g**m	12
Dylan Ward	d**d@u**u	11
Giuseppecipolla95	3****5	11
Annie Thompson	a**n@g**m	7
Mark Piper	m**r@c**u	6
gantian127	j**7@f**m	3
Jay Hariharan	j**n@u**u	2
and 13 more...

Committer Domains (Top 20 + Academic)

uw.edu: 4 tulane.edu: 2 colorado.edu: 2 colostate.edu: 1 att.net: 1 ksu.edu: 1 utexas.edu: 1 foxmail.com: 1 uc.edu: 1 uidaho.edu: 1 laposte.net: 1 posteo.net: 1 email.wm.edu: 1 usgs.gov: 1

Issues and Pull Requests

Last synced: 4 months ago

All Time

Total issues: 805
Total pull requests: 1,641
Average time to close issues: 4 months
Average time to close pull requests: 25 days
Total issue authors: 140
Total pull request authors: 66
Average comments per issue: 2.85
Average comments per pull request: 2.71
Merged pull requests: 1,207
Bot issues: 4
Bot pull requests: 480

Past Year

Issues: 32
Pull requests: 381
Average time to close issues: about 1 month
Average time to close pull requests: 9 days
Issue authors: 22
Pull request authors: 21
Average comments per issue: 0.19
Average comments per pull request: 1.08
Merged pull requests: 178
Bot issues: 2
Bot pull requests: 206

View more stats

Top Authors

Issue Authors

kbarnhart (174)
SiccarPoint (118)
gregtucker (107)
mcflugen (67)
sebastien-lenard (21)
pfeiffea (18)
nicgaspar (12)
DavidLitwin (11)
amanaster2 (11)
saisiddu (9)
loroberge (9)
cmshobe (8)
jadams15 (7)
ChristinaB (7)
mdpiper (7)

Pull Request Authors

dependabot[bot] (470)
mcflugen (447)
kbarnhart (200)
gregtucker (150)
SiccarPoint (105)
DavidLitwin (22)
cmshobe (20)
sebastien-lenard (15)
nathanlyons (15)
BCampforts (15)
angelmons (14)
jennyknuth (13)
pfeiffea (12)
pre-commit-ci[bot] (10)
jadams15 (8)

Top Labels

Issue Labels

enhancement (112) bug (66) question (25) Landlab2.0 (19) install (18) documentation (14) help wanted (9) dependencies (3) skip news (3) Epic (2) testing (1) wiki (1) Hydroshare (1) wontfix (1) invalid (1) duplicate (1)

Pull Request Labels

skip news (522) dependencies (468) python (21) enhancement (10) v2.7 (7) Landlab2.0 (5) bug (3) Epic (2) github_actions (2) documentation (1) duplicate (1) invalid (1)

Packages

Total packages: 3
Total downloads:
- pypi 7,903 last-month
Total docker downloads: 141

Total dependent packages: 11
(may contain duplicates)
Total dependent repositories: 38
(may contain duplicates)
Total versions: 198
Total maintainers: 3

pypi.org: landlab

Open-source Python package for numerical modeling of Earth surface dynamics.

Documentation: https://landlab.readthedocs.io/
License: MIT
Latest release: 2.10.1
published 5 months ago

Versions: 96
Dependent Packages: 3
Dependent Repositories: 30
Downloads: 7,903 Last month
Docker Downloads: 141

Rankings

Docker downloads count: 1.7%

Dependent repos count: 2.7%

Dependent packages count: 3.2%

Average: 3.2%

Downloads: 5.3%

Maintainers (3)

mcflugen katybarnhart landlab

Last synced: 4 months ago

proxy.golang.org: github.com/landlab/landlab

Documentation: https://pkg.go.dev/github.com/landlab/landlab#section-documentation
License: mit
Latest release: v2.10.1+incompatible
published 5 months ago

Versions: 79
Dependent Packages: 0
Dependent Repositories: 0

Rankings

Dependent packages count: 6.5%

Average: 6.7%

Dependent repos count: 7.0%

Last synced: 4 months ago

conda-forge.org: landlab

Landlab creates an environment in which scientists can build a numerical landscape model without having to code all of the individual components. Landscape models compute flows of mass, such as water, sediment, glacial ice, volcanic material, or landslide debris, across a gridded terrain surface. Landscape models have a number of commonalities, such as operating on a grid of points and routing material across the grid. Scientists who want to use a landscape model often build their own unique model from the ground up, re-coding the basic building blocks of their landscape model rather than taking advantage of codes that have already been written.

Homepage: https://landlab.github.io
License: MIT
Latest release: 2.5.0
published over 3 years ago

Versions: 23
Dependent Packages: 8
Dependent Repositories: 8

Rankings

Dependent packages count: 7.1%

Forks count: 10.1%

Dependent repos count: 12.1%

Average: 12.9%

Stargazers count: 22.2%

Last synced: 4 months ago

Dependencies

.github/workflows/changelog.yml actions

actions/checkout v3 composite

.github/workflows/docs.yml actions

actions/checkout v2 composite
conda-incubator/setup-miniconda v2 composite

.github/workflows/prerelease.yml actions

actions/checkout v2 composite
conda-incubator/setup-miniconda v2 composite
docker/setup-qemu-action v1 composite

.github/workflows/release.yml actions

actions/checkout v2 composite
conda-incubator/setup-miniconda v2 composite
docker/setup-qemu-action v1 composite

.github/workflows/test-notebooks.yml actions

actions/checkout v2 composite
conda-incubator/setup-miniconda v2 composite

.github/workflows/test.yml actions

AndreMiras/coveralls-python-action v20201129 composite
actions/checkout v2 composite
conda-incubator/setup-miniconda v2 composite

.github/workflows/lint.yml actions

actions/checkout v2 composite
actions/setup-python v4 composite

.github/workflows/rebase_dependencies.yml actions

actions/checkout v3 composite

docs/requirements.in pypi

furo *
sphinx >=4
sphinx-copybutton *
sphinx-inline-tabs *
sphinx-jinja *
sphinxcontrib.towncrier *
tomli *
towncrier *

docs/requirements.txt pypi

alabaster ==0.7.13
asttokens ==2.2.1
attrs ==22.2.0
babel ==2.11.0
backcall ==0.2.0
beautifulsoup4 ==4.11.2
bleach ==6.0.0
certifi ==2023.7.22
charset-normalizer ==3.0.1
click ==8.1.3
click-default-group ==1.2.2
decorator ==5.1.1
defusedxml ==0.7.1
docutils ==0.18.1
entrypoints ==0.4
executing ==1.2.0
fastjsonschema ==2.16.2
furo ==2023.8.19
idna ==3.4
imagesize ==1.4.1
incremental ==22.10.0
ipython ==8.14.0
jedi ==0.18.2
jinja2 ==3.1.2
jsonschema ==4.17.3
jupyter-client ==8.3.0
jupyter-core ==5.2.0
jupyterlab-pygments ==0.2.2
markupsafe ==2.1.2
matplotlib-inline ==0.1.6
mistune ==2.0.5
nbclient ==0.7.2
nbconvert ==7.2.9
nbformat ==5.9.2
nbsphinx ==0.9.3
packaging ==23.0
pandoc ==2.3
pandocfilters ==1.5.0
parso ==0.8.3
pexpect ==4.8.0
pickleshare ==0.7.5
platformdirs ==3.0.0
plumbum ==1.8.1
ply ==3.11
prompt-toolkit ==3.0.36
ptyprocess ==0.7.0
pure-eval ==0.2.2
pygments ==2.15.0
pyrsistent ==0.19.3
python-dateutil ==2.8.2
pytz ==2022.7.1
pyzmq ==25.0.0
requests ==2.31.0
six ==1.16.0
snowballstemmer ==2.2.0
soupsieve ==2.4
sphinx ==7.2.4
sphinx-basic-ng ==1.0.0b1
sphinx-copybutton ==0.5.2
sphinx-inline-tabs ==2023.4.21
sphinx-jinja ==2.0.2
sphinxcontrib-applehelp ==1.0.4
sphinxcontrib-devhelp ==1.0.2
sphinxcontrib-htmlhelp ==2.0.1
sphinxcontrib-jsmath ==1.0.1
sphinxcontrib-qthelp ==1.0.3
sphinxcontrib-serializinghtml ==1.1.9
sphinxcontrib-towncrier ==0.3.2a0
stack-data ==0.6.2
tabulate ==0.9.0
tinycss2 ==1.2.1
tomli ==2.0.1
tornado ==6.3.3
towncrier ==23.6.0
traitlets ==5.9.0
urllib3 ==1.26.14
wcwidth ==0.2.6
webencodings ==0.5.1

environment.yml pypi

notebooks/requirements.in pypi

bmi-topography >=0.5,
dask *
holoviews *
jupyter *
mesa >1

notebooks/requirements.txt pypi

150 dependencies

pyproject.toml pypi

bmipy *
matplotlib *
netcdf4 *
numpy >=1.20
pandas *
pyshp != 2.3.0
pyyaml *
rich-click *
scipy *
statsmodels *
xarray >= 0.16

requirements-testing.in pypi

coveralls * test
hypothesis * test
pytest * test
pytest-benchmark * test
pytest-cov * test
pytest-datadir * test
pytest-xdist * test

requirements.in pypi

bmipy *
matplotlib *
netcdf4 *
numpy >=1.20
pandas *
pyshp *
pyyaml *
rich-click *
scipy *
statsmodels *
xarray >=0.16

requirements.txt pypi

black ==23.1.0
bmipy ==2.0
certifi ==2023.7.22
cftime ==1.6.2
click ==8.1.3
contourpy ==1.0.7
cycler ==0.11.0
fonttools ==4.38.0
jinja2 ==3.1.2
kiwisolver ==1.4.4
markdown-it-py ==2.2.0
markupsafe ==2.1.2
matplotlib ==3.7.2
mdurl ==0.1.2
mypy-extensions ==1.0.0
netcdf4 ==1.6.4
numpy ==1.25.2
packaging ==23.0
pandas ==2.0.3
pathspec ==0.11.0
patsy ==0.5.3
pillow ==9.4.0
platformdirs ==3.0.0
pygments ==2.15.0
pyparsing ==3.0.9
pyshp ==2.3.1
python-dateutil ==2.8.2
pytz ==2022.7.1
pyyaml ==6.0.1
rich ==13.3.1
rich-click ==1.6.1
scipy ==1.11.2
six ==1.16.0
statsmodels ==0.14.0
tzdata ==2023.3
xarray ==2023.8.0

setup.py pypi

NetworkSedimentTransporter

Science Score: 100.0%

Keywords from Contributors

Scientific Fields

Repository

Basic Info

Statistics

Metadata Files

README.md

Landlab

What does Landlab do?

Installation

Source code

Are there any examples of using Landlab I can look at?

Run on Binder

Run on EarthscapeHub

License

Citing Landlab

Contact

Owner

JOSS Publication

Lithology: A Landlab submodule for spatially variable rock properties

Authors

Editor

Tags

Citation (CITATION.cff)

GitHub Events

Total

Last Year

Committers

All Time

Past Year

Top Committers

Committer Domains (Top 20 + Academic)

Issues and Pull Requests

All Time

Past Year

Top Authors

Issue Authors

Pull Request Authors

Top Labels

Issue Labels

Pull Request Labels

Packages

pypi.org: landlab

Rankings

Maintainers (3)

proxy.golang.org: github.com/landlab/landlab

Rankings

conda-forge.org: landlab

Rankings

Dependencies