https://github.com/cosima/esmgrids

Python representation of Earth System Model grids.

https://github.com/cosima/esmgrids

Science Score: 26.0%

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
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (4.2%) to scientific vocabulary

Keywords from Contributors

climate climate-model fms gfdl
Last synced: 11 months ago · JSON representation

Repository

Python representation of Earth System Model grids.

Basic Info
  • Host: GitHub
  • Owner: COSIMA
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Size: 115 KB
Statistics
  • Stars: 5
  • Watchers: 5
  • Forks: 7
  • Open Issues: 11
  • Releases: 2
Created almost 10 years ago · Last pushed about 1 year ago
Metadata Files
Readme License

README.md

Code Health

esmgrids

This package contains Python representations of Earth System Model grids. These are very useful, for example, for converting model grids between different formats.

Grids currently supported:

  • Global regular Lat-Lon
  • Global tri-polar
  • MOM5 (Modular Ocean Model) tri-polar
  • NEMO tri-polar
  • GODAS reanalysis
  • ORAS4 reanalysis
  • CICE tri-polar

To run the tests

pip install '.[tests]' python -m pytest -m "not broken"

Owner

  • Name: COSIMA
  • Login: COSIMA
  • Kind: organization
  • Location: Australia

Consortium for Ocean-Sea Ice Modelling in Australia

GitHub Events

Total
  • Create event: 4
  • Release event: 1
  • Issues event: 4
  • Watch event: 1
  • Delete event: 1
  • Issue comment event: 13
  • Push event: 6
  • Pull request review event: 10
  • Pull request review comment event: 10
  • Pull request event: 4
Last Year
  • Create event: 4
  • Release event: 1
  • Issues event: 4
  • Watch event: 1
  • Delete event: 1
  • Issue comment event: 13
  • Push event: 6
  • Pull request review event: 10
  • Pull request review comment event: 10
  • Pull request event: 4

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 76
  • Total Committers: 6
  • Avg Commits per committer: 12.667
  • Development Distribution Score (DDS): 0.434
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Nicholas Hannah n****h@g****m 43
Nicholas Hannah n****h@g****m 23
a-parkinson 3****n 5
Nic Hannah n****c@d****u 2
Anthony Parkinson a****y@d****u 2
Nic Hannah n****n 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 4
  • Total pull requests: 6
  • Average time to close issues: 1 day
  • Average time to close pull requests: about 18 hours
  • Total issue authors: 4
  • Total pull request authors: 5
  • Average comments per issue: 8.0
  • Average comments per pull request: 0.67
  • Merged pull requests: 4
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 2
  • Pull requests: 3
  • Average time to close issues: 2 days
  • Average time to close pull requests: 1 day
  • Issue authors: 2
  • Pull request authors: 3
  • Average comments per issue: 3.5
  • Average comments per pull request: 1.33
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • anton-seaice (5)
  • dougiesquire (4)
  • rmholmes (1)
  • a-parkinson (1)
  • aekiss (1)
Pull Request Authors
  • anton-seaice (5)
  • micaeljtoliveira (2)
  • a-parkinson (2)
  • rmholmes (1)
  • dougiesquire (1)
  • aekiss (1)
Top Labels
Issue Labels
bug (1)
Pull Request Labels

Dependencies

.github/workflows/ci.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v3 composite
  • codecov/codecov-action v3 composite
  • psf/black stable composite
pyproject.toml pypi
  • netcdf4 *
  • numpy *
  • pyproj *
  • shapely *