nlmod

Python package to build, run and visualize MODFLOW 6 groundwater models in the Netherlands.
https://github.com/gwmod/nlmod

Category: Hydrosphere
Sub Category: Freshwater and Hydrology

Keywords

flopy geopandas groundwater groundwater-modelling hydrogeology hydrology modflow python xarray

Keywords from Contributors

pastas arctic data-management observations multivariate articles poster reports

Last synced: about 9 hours ago
JSON representation

Repository metadata

Python package to build, run and visualize MODFLOW 6 groundwater models in the Netherlands.

README.md

nlmod

nlmod
Codacy Badge
Codacy Badge
PyPI version
Documentation Status

Python package to build, run and visualize MODFLOW 6 groundwater models in the Netherlands.

nlmod was built to allow users to write scripts to quickly download relevant data
from publicly available sources, and build and post-process groundwater flow and
transport models at different spatial and temporal scales to answer specific
geohydrological questions. Scripting these steps, from downloading data to building
groundwater models, makes models more reproducible and transparent.

The functions in nlmod have four main objectives:

  1. Create and adapt the temporal and spatial discretization of a MODFLOW model using an
    xarray Dataset (nlmod.dims).
  2. Download and read data from external sources, project this data on the modelgrid and
    add this data to an xarray Dataset (nlmod.read).
  3. Use data in an xarray Dataset to build modflow packages for both groundwater flow
    and transport models using FloPy (nlmod.sim, nlmod.gwf and nlmod.gwt for
    Modflow 6 and nlmod.modpath for Modpath).
  4. Visualise modeldata in Python (nlmod.plot) or GIS software (nlmod.gis).

More information can be found on the documentation-website:
https://nlmod.readthedocs.io/.


Owner metadata


GitHub Events

Total
Last Year

Committers metadata

Last synced: 2 days ago

Total Commits: 1,519
Total Committers: 8
Avg Commits per committer: 189.875
Development Distribution Score (DDS): 0.632

Commits in past year: 136
Committers in past year: 6
Avg Commits per committer in past year: 22.667
Development Distribution Score (DDS) in past year: 0.588

Name Email Commits
OnnoEbbens o****s@g****m 559
dbrakenhoff d****f@a****l 459
Ruben Caljé r****e@a****l 404
Bas des Tombe b****e@g****m 56
martinvonk v****t@g****m 30
ArtesiaWater i****o@a****l 9
marcovanbaar 4****r 1
Mattijs Borst 4****t 1

Committer domains:


Issue and Pull Request metadata

Last synced: 13 days ago

Total issues: 158
Total pull requests: 255
Average time to close issues: 3 months
Average time to close pull requests: 8 days
Total issue authors: 16
Total pull request authors: 7
Average comments per issue: 1.37
Average comments per pull request: 1.25
Merged pull request: 215
Bot issues: 0
Bot pull requests: 0

Past year issues: 31
Past year pull requests: 55
Past year average time to close issues: about 2 months
Past year average time to close pull requests: 7 days
Past year issue authors: 10
Past year pull request authors: 6
Past year average comments per issue: 1.1
Past year average comments per pull request: 0.71
Past year merged pull request: 37
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/gwmod/nlmod

Top Issue Authors

  • dbrakenhoff (43)
  • OnnoEbbens (36)
  • rubencalje (24)
  • bdestombe (20)
  • martinvonk (9)
  • tomvansteijn (8)
  • vincentpost (5)
  • Arjanvw (4)
  • sebmeng (2)
  • FransSchaars (1)
  • RdWitte (1)
  • jeroenhelder (1)
  • ArtesiaWater (1)
  • robinopdam (1)
  • smengual-rhdhv (1)

Top Pull Request Authors

  • rubencalje (78)
  • dbrakenhoff (74)
  • OnnoEbbens (48)
  • bdestombe (43)
  • martinvonk (9)
  • MattBrst (2)
  • Copilot (1)

Top Issue Labels

  • enhancement (25)
  • bug (9)
  • documentation (5)
  • good first issue (3)
  • testing (3)
  • caching (3)
  • help wanted (1)
  • question (1)

Top Pull Request Labels

  • enhancement (17)
  • caching (2)
  • documentation (1)
  • bug (1)

Package metadata

proxy.golang.org: github.com/gwmod/nlmod

  • Homepage:
  • Documentation: https://pkg.go.dev/github.com/gwmod/nlmod#section-documentation
  • Licenses: mit
  • Latest release: v0.11.2 (published 5 months ago)
  • Last Synced: 2026-06-11T00:00:50.950Z (2 days ago)
  • Versions: 25
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent packages count: 5.395%
    • Average: 5.576%
    • Dependent repos count: 5.758%
pypi.org: nlmod

Python package to build, run and visualize MODFLOW 6 groundwater models in the Netherlands.

  • Homepage:
  • Documentation: https://nlmod.readthedocs.io/
  • Licenses: MIT License
  • Latest release: 0.11.2 (published 4 months ago)
  • Last Synced: 2026-06-11T00:00:49.266Z (2 days ago)
  • Versions: 26
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 416 Last month
  • Rankings:
    • Dependent packages count: 10.119%
    • Average: 17.205%
    • Downloads: 19.951%
    • Dependent repos count: 21.545%
  • Maintainers (2)

Dependencies

docs/requirements.txt pypi
  • Ipython *
  • ipykernel *
  • nbsphinx *
  • nbsphinx_link *
  • sphinx_rtd_theme *
requirements.txt pypi
  • OWSLib ==0.24.1
  • Shapely >=1.7.1
  • flopy >=3.3.3
  • gdown >=4.4.0
  • geopandas ==0.9.0
  • hydropandas >=0.5.1
  • matplotlib >=3.3.4
  • nbconvert >=6.4.5
  • nbformat >=5.2.0
  • netCDF4 ==1.5.7
  • numpy >=1.20.1
  • pandas >=1.4.1
  • pytest >=6.2.3
  • rasterio ==1.2.6
  • rdp ==0.8
  • requests >=2.25.1
  • rioxarray *
  • scipy >=1.7.3
  • tqdm >=4.59.0
  • xarray >=0.19.0
setup.py pypi
  • flopy >=3.3.2
  • hydropandas >=0.3.0
  • matplotlib *
  • netcdf4 >=1.5.7
  • openpyxl >=3.0.7
  • owslib >=0.24.1
  • pyshp >=2.1.3
  • rasterio >=1.1.0
  • rtree >=0.9.7
  • xarray >=0.16.1
.github/workflows/ci.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
  • codacy/codacy-coverage-reporter-action master composite
.github/workflows/python-publish.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
  • pypa/gh-action-pypi-publish master composite

Score: 12.722482647590065