python-for-hydrology

python and flopy tutorials for hydrologic applications and MODFLOW modeling

https://github.com/DOI-USGS/python-for-hydrology

Science Score: 57.0%

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 2 DOI reference(s) in README
  • Academic publication links
  • Committers with academic emails
    5 of 7 committers (71.4%) from academic institutions
  • Institutional organization owner
    Organization doi-usgs has institutional domain (www.usgs.gov)
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (8.4%) to scientific vocabulary

Keywords from Contributors

earth-science groundwater modflow uncertainty-analysis
Last synced: 7 months ago · JSON representation

Repository

python and flopy tutorials for hydrologic applications and MODFLOW modeling

Basic Info
  • Host: GitHub
  • Owner: DOI-USGS
  • License: other
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 435 MB
Statistics
  • Stars: 61
  • Watchers: 3
  • Forks: 20
  • Open Issues: 2
  • Releases: 0
Created over 3 years ago · Last pushed 7 months ago
Metadata Files
Readme Contributing License Code of conduct

README.md

python-for-hydrology

Tests Project Status: Active – The project has reached a stable, usable state and is being actively developed.

Welcome to the USGS python for hydrology and flopy course. This is organized into two parts: part 0 focusing on general python for data analysis in hydrologic contexts, and part 1 focusing on flopy - the python interface into MODFLOW for groundwater modeling.

The main curriculum is found in the notebooks folder and includes tutorial notebooks and activities.

Click here to see a rendered version of the course notebooks.

We encourage students to explore these materials for their own study or to reach out to USGS to attend an in-person course.

If you are on the code.usgs.gov site, note that up-to-date changes are maintained on the version on the GitHub version.

Suggested Citation: Fienen MN, Hughes, JD, Langevin, CL, Larsen, JD, and Leaf, AT. 2024. python-for-hydrology U.S. Geological Survey software release. Reston, VA. https://doi.org/10.5066/P1QTRYJY

Owner

  • Name: U.S. Geological Survey
  • Login: DOI-USGS
  • Kind: organization
  • Email: gs_help_git@usgs.gov
  • Location: United States of America

By integrating our diverse scientific expertise, we understand complex natural science phenomena and provide scientific products that lead to solutions.

GitHub Events

Total
  • Issues event: 4
  • Watch event: 19
  • Issue comment event: 17
  • Push event: 14
  • Pull request event: 15
  • Fork event: 6
Last Year
  • Issues event: 4
  • Watch event: 19
  • Issue comment event: 17
  • Push event: 14
  • Pull request event: 15
  • Fork event: 6

Committers

Last synced: 8 months ago

All Time
  • Total Commits: 300
  • Total Committers: 7
  • Avg Commits per committer: 42.857
  • Development Distribution Score (DDS): 0.593
Past Year
  • Commits: 14
  • Committers: 4
  • Avg Commits per committer: 3.5
  • Development Distribution Score (DDS): 0.5
Top Committers
Name Email Commits
Mike Fienen m****n@u****v 122
Leaf, Andrew T a****f@u****v 81
jlarsen j****n@u****v 57
Joseph Hughes j****s@u****v 27
Langevin, Christian D l****n@u****v 9
Mike Taves m****s@g****m 2
George Dang 5****g 2
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 14
  • Total pull requests: 148
  • Average time to close issues: about 2 months
  • Average time to close pull requests: about 4 hours
  • Total issue authors: 5
  • Total pull request authors: 9
  • Average comments per issue: 0.64
  • Average comments per pull request: 0.14
  • Merged pull requests: 144
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 5
  • Pull requests: 14
  • Average time to close issues: 2 months
  • Average time to close pull requests: about 16 hours
  • Issue authors: 2
  • Pull request authors: 6
  • Average comments per issue: 0.4
  • Average comments per pull request: 1.0
  • Merged pull requests: 11
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • mnfienen (8)
  • langevin-usgs (2)
  • mcekiz (2)
  • jlarsen-usgs (2)
  • aleaf (1)
Pull Request Authors
  • mnfienen (87)
  • aleaf (42)
  • jdhughes-usgs (27)
  • jlarsen-usgs (25)
  • langevin-usgs (14)
  • kallejahn (2)
  • gtdang (2)
  • mwtoews (2)
  • wpbonelli (1)
Top Labels
Issue Labels
Pull Request Labels

Dependencies

.github/workflows/test.yaml actions
  • actions/cache v2.1.0 composite
  • actions/checkout v2 composite
  • conda-incubator/setup-miniconda v2 composite
  • modflowpy/install-modflow-action v1 composite
.github/workflows/notebook-output.yaml actions
  • actions/checkout v3 composite
  • mamba-org/setup-micromamba main composite
.github/workflows/build_docs.yaml actions
  • JamesIves/github-pages-deploy-action 3.7.1 composite
  • actions/checkout v3 composite
  • mamba-org/setup-micromamba v1 composite
  • modflowpy/install-modflow-action v1 composite
.github/workflows/notebook-headers.yaml actions
  • actions/checkout v4 composite
  • mamba-org/setup-micromamba main composite
installation/environment.yml conda
  • affine
  • dataretrieval
  • descartes
  • fiona
  • flopy >=3.7
  • geojson
  • geopandas
  • geos
  • gis-utils
  • git
  • imageio
  • jupyter
  • jupyterlab
  • jupytext
  • matplotlib
  • modflow-export
  • modflow-setup
  • netcdf4
  • numpy
  • openpyxl
  • pandas
  • pip
  • pyproj
  • pyshp
  • pytest
  • python 3.11.*
  • python-dateutil
  • pyvista
  • pyyaml
  • rasterio
  • rasterstats
  • requests
  • rioxarray
  • rtree
  • scipy
  • sfrmaker
  • shapely
  • statsmodels
  • uxarray
  • vtk
  • xarray
  • xlrd