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scikit-downscale

Statistical climate downscaling in Python

https://github.com/pangeo-data/scikit-downscale

Science Score: 36.0%

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
    3 of 13 committers (23.1%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (4.8%) to scientific vocabulary

Keywords

climate downscaling scikit-learn xarray

Keywords from Contributors

keras xarray-accessor climate-models distribution energy-system-model finite-volume hydrology mesh standardization interactive
Last synced: 6 months ago · JSON representation

Repository

Statistical climate downscaling in Python

Basic Info
Statistics
  • Stars: 192
  • Watchers: 13
  • Forks: 46
  • Open Issues: 19
  • Releases: 4
Topics
climate downscaling scikit-learn xarray
Created over 8 years ago · Last pushed 8 months ago
Metadata Files
Readme License Roadmap

README.md

scikit-downscale

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

CI Documentation Status Binder

Conda (channel only)

Owner

  • Name: Pangeo
  • Login: pangeo-data
  • Kind: organization
  • Location: earth

A community effort for big data geoscience

GitHub Events

Total
  • Issues event: 1
  • Watch event: 3
  • Issue comment event: 1
  • Push event: 1
  • Fork event: 1
Last Year
  • Issues event: 1
  • Watch event: 3
  • Issue comment event: 1
  • Push event: 1
  • Fork event: 1

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 294
  • Total Committers: 13
  • Avg Commits per committer: 22.615
  • Development Distribution Score (DDS): 0.575
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
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 (Top 20 + Academic)
carbonplan.org: 2 ucar.edu: 2 lyft.com: 1 ualr.edu: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • 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 requests: 56
  • Bot issues: 0
  • Bot pull requests: 61
Past Year
  • Issues: 2
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 2
  • Pull request authors: 0
  • Average comments per issue: 0.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • haris021 (3)
  • dgergel (3)
  • solomonsg (1)
  • manmeet3591 (1)
  • SkyCol (1)
  • Damonfruit (1)
  • chrystali2002 (1)
  • jhamman (1)
Pull Request Authors
  • dependabot[bot] (57)
  • tcchiao (12)
  • orianac (6)
  • jhamman (6)
  • pre-commit-ci[bot] (4)
  • norlandrhagen (2)
  • dgergel (2)
  • fsq0511 (2)
  • drvivekhydro (1)
  • riley-brady (1)
Top Labels
Issue Labels
Pull Request Labels
dependencies (57) github_actions (57)

Packages

  • Total packages: 1
  • Total downloads: unknown
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 7
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.

  • Versions: 7
  • Dependent Packages: 0
  • Dependent Repositories: 1
Rankings
Dependent repos count: 24.4%
Forks count: 28.2%
Stargazers count: 29.1%
Average: 33.3%
Dependent packages count: 51.6%
Last synced: 6 months ago

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