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JOSS: https://github.com/ocean-eddy-cpt/gcm-filters

Score: 17.227836849609677

Last synced: about 18 hours ago
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Repository metadata:

Diffusion-based Spatial Filtering of Gridded Data


Owner metadata:


GitHub Events

Total
Last Year

Committers metadata

Last synced: 7 days ago

Total Commits: 636
Total Committers: 14
Avg Commits per committer: 45.429
Development Distribution Score (DDS): 0.421

Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
NoraLoose n****e@g****m 368
Ian Grooms i****s@c****u 79
Ryan Abernathey r****y@g****m 55
Julius Busecke j****s@l****u 39
Arthur a****n@g****m 29
Andrew Ross a****s@g****m 12
Jake Steinberg j****g@w****u 10
Gustavo Marques g****s@u****u 10
Paige Martin p****r@u****u 9
Hemant Khatri h****1@g****m 9
Elizabeth A Yankovsky e****6@l****r 9
Elizabeth A Yankovsky e****6@l****r 4
Scott Bachman b****n@u****u 2
Romain Caneill r****l@e****g 1

Issue and Pull Request metadata

Last synced: 10 months ago

Total issues: 53
Total pull requests: 74
Average time to close issues: 9 months
Average time to close pull requests: 28 days
Total issue authors: 18
Total pull request authors: 12
Average comments per issue: 4.91
Average comments per pull request: 3.31
Merged pull request: 68
Bot issues: 0
Bot pull requests: 1

Past year issues: 4
Past year pull requests: 13
Past year average time to close issues: about 21 hours
Past year average time to close pull requests: about 2 hours
Past year issue authors: 2
Past year pull request authors: 2
Past year average comments per issue: 1.5
Past year average comments per pull request: 0.08
Past year merged pull request: 11
Past year bot issues: 0
Past year bot pull requests: 1

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/ocean-eddy-cpt/gcm-filters

Top Issue Authors

  • NoraLoose (16)
  • jbusecke (10)
  • rabernat (8)
  • asross (2)
  • isgiddy (2)
  • dhruvbalwada (2)
  • paigem (2)
  • rcaneill (1)
  • yangminah (1)
  • iangrooms (1)
  • AleksiNummelin (1)
  • marimpacheco (1)
  • Pperezhogin (1)
  • ElizabethYankovsky (1)
  • aidanheerdegen (1)

Top Pull Request Authors

  • NoraLoose (46)
  • iangrooms (7)
  • rabernat (7)
  • jbusecke (4)
  • asross (2)
  • jakesteinberg (2)
  • arthurBarthe (1)
  • rcaneill (1)
  • dependabot[bot] (1)
  • paigem (1)
  • ElizabethYankovsky (1)
  • gustavo-marques (1)

Top Issue Labels

  • question (12)
  • documentation (6)
  • kernels (4)
  • enhancement (3)
  • bug (3)
  • packaging (1)

Top Pull Request Labels

  • github_actions (1)
  • documentation (1)
  • dependencies (1)
  • bug (1)

Package metadata

pypi.org: gcm-filters

Diffusion-based Spatial Filtering of Gridded Data

  • Homepage: https://github.com/ocean-eddy-cpt/gcm-filters
  • Documentation: https://gcm-filters.readthedocs.io/
  • Licenses: LGPL-3.0
  • Latest release: 0.5.1 (published over 1 year ago)
  • Last Synced: 2026-06-15T21:03:26.620Z (7 days ago)
  • Versions: 11
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 4,614 Last month
  • Docker Downloads: 0
  • Rankings:
    • Docker downloads count: 2.048%
    • Forks count: 7.68%
    • Dependent packages count: 9.973%
    • Stargazers count: 11.141%
    • Average: 12.073%
    • Downloads: 19.845%
    • Dependent repos count: 21.754%
  • Maintainers (1)
conda-forge.org: gcm_filters

**GCM-Filters** is a python package that performs spatial filtering analysis in a flexible and efficient way. The GCM-Filters algorithm applies a discrete Laplacian to smooth a field through an iterative process that resembles diffusion ([Grooms et al., 2021](https://doi.org/10.1029/2021MS002552)). The package can be used for either gridded observational data or gridded data that is produced by General Circulation Models (GCMs) of ocean, weather, and climate. Such GCM data come on complex curvilinear grids, whose geometry is respected by the GCM-Filters Laplacians. Through integration with [dask](https://dask.org/), GCM-Filters enables parallel, out-of-core filter analysis on both CPUs and GPUs.

  • Homepage: https://github.com/ocean-eddy-cpt/gcm-filters
  • Licenses: LGPL-3.0-only
  • Latest release: 0.3.0 (published almost 4 years ago)
  • Last Synced: 2026-03-19T17:25:35.744Z (3 months ago)
  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 4
  • Downloads: 30,329 Total
  • Rankings:
    • Dependent repos count: 16.109%
    • Forks count: 34.697%
    • Average: 37.03%
    • Stargazers count: 45.741%
    • Dependent packages count: 51.574%

Dependencies

requirements-dev.txt pypi
  • black * development
  • check-manifest * development
  • doctr * development
  • flake8 * development
  • flake8-builtins * development
  • flake8-comprehensions * development
  • flake8-mutable * development
  • flake8-print * development
  • interrogate * development
  • isort * development
  • nbsphinx * development
  • pre-commit * development
  • pylint * development
  • pytest * development
  • pytest-cov * development
  • pytest-flake8 * development
  • pytest-lazy-fixture * development
  • pytest-xdist * development
  • recommonmark * development
  • setuptools_scm * development
  • sphinx * development
  • twine * development
  • wheel * development
  • zarr * development
requirements.txt pypi
  • dask *
  • matplotlib *
  • scipy *
  • xarray *
.github/workflows/pre-commit.yml actions
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  • actions/setup-python v2 composite
  • pre-commit/action v2.0.0 composite
.github/workflows/publish-to-pypi.yml actions
  • actions/checkout master composite
  • actions/setup-python v1 composite
  • pypa/gh-action-pypi-publish master composite
.github/workflows/tests.yaml actions
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  • codecov/codecov-action v1 composite
  • conda-incubator/setup-miniconda v2 composite
docs/environment.yml pypi
pyproject.toml pypi
setup.py pypi