A curated list of open technology projects to sustain a stable climate, energy supply, biodiversity and natural resources.

scikit-downscale

Statistical downscaling and postprocessing models for climate and weather model simulations.
https://github.com/pangeo-data/scikit-downscale

Category: Climate Change
Sub Category: Climate Downscaling

Keywords

climate downscaling scikit-learn xarray

Keywords from Contributors

data-catalogs keras xarray-accessor compressed archiving pangeo transforms measur observation climate-model

Last synced: about 12 hours ago
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Repository metadata

Statistical climate downscaling in Python

README.md

scikit-downscale

Statistical downscaling and postprocessing models for climate and weather model simulations.

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Last Year

Committers metadata

Last synced: 6 days ago

Total Commits: 294
Total Committers: 13
Avg Commits per committer: 22.615
Development Distribution Score (DDS): 0.575

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
Joseph Hamman j****n@u****u 125
Julia Kent j****t@u****u 60
dependabot[bot] 4****] 36
Diana d****l@g****m 34
tcchiao t****o@g****m 20
Oriana Chegwidden o****a@c****g 5
Joe Hamman j****e@c****g 4
Anderson Banihirwe a****e@u****u 3
pre-commit-ci[bot] 6****] 3
Cindy Chiao c****o@l****m 1
Diana Gergel d****l@r****l 1
Raphael Hagen n****n@g****m 1
Ryan Abernathey r****y@g****m 1

Committer domains:


Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 13
Total pull requests: 93
Average time to close issues: about 2 months
Average time to close pull requests: 20 days
Total issue authors: 9
Total pull request authors: 11
Average comments per issue: 1.77
Average comments per pull request: 0.54
Merged pull request: 56
Bot issues: 0
Bot pull requests: 61

Past year issues: 2
Past year pull requests: 1
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 2
Past year pull request authors: 1
Past year average comments per issue: 0.0
Past year average comments per pull request: 1.0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/pangeo-data/scikit-downscale

Top Issue Authors

  • haris021 (3)
  • dgergel (3)
  • solomonsg (1)
  • manmeet3591 (1)
  • SkyCol (1)
  • Damonfruit (1)
  • chrystali2002 (1)
  • maxrjones (1)
  • jhamman (1)

Top Pull Request Authors

  • dependabot[bot] (57)
  • tcchiao (12)
  • orianac (6)
  • jhamman (6)
  • pre-commit-ci[bot] (4)
  • norlandrhagen (2)
  • dgergel (2)
  • fsq0511 (1)
  • drvivekhydro (1)
  • richardcmckinney (1)
  • riley-brady (1)

Top Issue Labels

Top Pull Request Labels

  • dependencies (57)
  • github_actions (57)

Package metadata

conda-forge.org: scikit-downscale

Scikit-downscale is a toolkit for statistical downscaling usising Xarray. It is meant to support the development of new and existing downscaling methods in a common framework. It implements a fit/predict API that accepts Xarray objects, similiar to Python’s Scikit-Learn, for building a wide range of statitical downscaling models.

  • Homepage: https://github.com/pangeo-data/scikit-downscale
  • Licenses: Apache-2.0
  • Latest release: 0.1.5 (published almost 3 years ago)
  • Last Synced: 2025-04-25T13:32:26.024Z (1 day ago)
  • Versions: 7
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Rankings:
    • Dependent repos count: 24.407%
    • Forks count: 28.21%
    • Stargazers count: 29.083%
    • Average: 33.325%
    • Dependent packages count: 51.599%

Dependencies

dev-requirements.txt pypi
  • netcdf4 * development
  • pre-commit * development
  • pytest * development
  • pytest-cov * development
  • pytest-sugar * development
doc-requirements.txt pypi
  • dask *
  • ipython *
  • netcdf4 *
  • numpydoc *
  • scipy *
  • sphinx *
  • sphinx-gallery *
  • sphinx_rtd_theme *
requirements.txt pypi
  • scikit-learn >=0.21
  • xarray >=0.16
.github/workflows/main.yaml actions
  • actions/cache v3.0.7 composite
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
  • codecov/codecov-action v3.1.1 composite
.binder/environment.yml pypi
pyproject.toml pypi
setup.py pypi

Score: 7.902487437162854