uxarray

Xarray extension for unstructured climate and global weather data analysis and visualization.

https://github.com/uxarray/uxarray

Science Score: 64.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
    Links to: zenodo.org
  • Committers with academic emails
    7 of 28 committers (25.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (16.3%) to scientific vocabulary

Keywords

geoscience ugrid unstructured-grids

Keywords from Contributors

oceanography ocean physical-oceanography exoplanet energy-system hydrology mesh dynamics mri utility-functions

Scientific Fields

Mathematics Computer Science - 84% confidence
Artificial Intelligence and Machine Learning Computer Science - 62% confidence
Earth and Environmental Sciences Physical Sciences - 42% confidence
Last synced: 4 months ago · JSON representation ·

Repository

Xarray extension for unstructured climate and global weather data analysis and visualization.

Basic Info
Statistics
  • Stars: 199
  • Watchers: 13
  • Forks: 41
  • Open Issues: 129
  • Releases: 50
Topics
geoscience ugrid unstructured-grids
Created about 4 years ago · Last pushed 4 months ago
Metadata Files
Readme Contributing License Code of conduct Citation

README.md


Xarray extension for unstructured climate and global weather data

CI CI Upstream pre-commit.ci status Code Coverage Status Documentation Status ASV Repostory Github release Conda PyPI License Citing

UXarray aims to address the geoscience community's need for tools that enable standard data analysis techniques to operate directly on unstructured grid data. UXarray provides Xarray-styled functionality to better read in and use unstructured grid datasets that follow standard conventions, including UGRID, MPAS, ICON, SCRIP, ESMF, FESOM2, and Exodus grid formats. This effort is a result of the collaboration between Project Raijin (NSF NCAR and Pennsylvania State University) and the SEATS Project (Argonne National Laboratory, UC Davis, and Lawrence Livermore National Laboratory). The UXarray team welcomes community members to become part of this collaboration at any level of contribution.

UXarray is implemented in pure Python and does not explicitly contain or require any compiled code. This makes UXarray more accessible to the general Python community. Any contributions to this repository in pure Python are welcome and documentation for contribution guidelines can be found when clicking New Issue under the Issues tab in the UXarray repository.

Why is the name "UXarray"?

We have created UXarray based on Xarray (via inheritance of Xarray Dataset and DataArray classes), a Pangeo ecosystem package commonly-used for structured grids recognition, to support reading and recognizing unstructured grid model outputs. We picked the name "UXarray" (pronounced "you-ex-array"), with the "U" representing unstructured grids.

Documentation

UXarray Documentation

Contributor’s Guide

Installation

Project Raijin Homepage

SEATS Project Homepage

Contributors

Thank you to all of our contributors!

Contributors

Citing UXarray

If you'd like to cite our work, please follow How to cite UXarray.

Support

NSF Logo Project Raijin, entitled "Collaborative Research: EarthCube Capabilities: Raijin: Community Geoscience Analysis Tools for Unstructured Mesh Data", was awarded by NSF 21-515 EarthCube (Award Number (FAIN): 2126458) on 08/19/2021. The award period of performance has a start date of 09/01/2021 and end date of 08/31/2024.
DOE Logo SEATS is funded by the Regional and Global Modeling and Analysis (RGMA) program area in the U.S. Department of Energy (DOE) Earth and Environmental System Modeling Program which is part of the Earth and Environmental Systems Sciences Division of the Office of Biological and Environmental Research in DOE’s Office of Science.
EarthCube Logo EarthCube aims to transform the conduct of geosciences research by developing and maintaining a well-connected and facile environment that improves access, sharing, visualization, and analysis of data and related resources.
PANGEO Logo Pangeo supports collaborative efforts to develop software and infrastructure to enable Big Data geoscience research.

Owner

  • Name: UXARRAY
  • Login: UXARRAY
  • Kind: organization

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use the UXarray software, please cite it as suggested here."
authors:
- family-names: "Chen"
  given-names: "Amber"
  orcid: "https://orcid.org/0009-0001-3281-4514"
- family-names: "Chen"
  given-names: "Hongyu"
  orcid: "https://orcid.org/0000-0001-7743-4761"
- family-names: "Chmielowiec"
  given-names: "Philip"
  orcid: "https://orcid.org/0009-0001-4744-1511"
- family-names: "Clyne"
  given-names: "John"
  orcid: "https://orcid.org/0000-0003-2788-9017"
- family-names: "Eroglu"
  given-names: "Orhan"
  orcid: "https://orcid.org/0000-0003-3099-8775"
- family-names: "Franda"
  given-names: "Ian"
  orcid: "https://orcid.org/0009-0003-0192-6649"
- family-names: "Jacob"
  given-names: "Robert"
  orcid: "https://orcid.org/0000-0002-9444-6593"
- family-names: "Jain"
  given-names: "Rajeev"
  orcid: "https://orcid.org/0000-0002-1235-918X"
- family-names: "Medeiros"
  given-names: "Brian"
  orcid: "https://orcid.org/0000-0003-2188-4784"
- family-names: "Sizemore"
  given-names: "Michaela"
- family-names: "Tam"
  given-names: "Rachel"
  orcid: "https://orcid.org/0000-0002-3415-3879"
- family-names: "Ullrich"
  given-names: "Paul"
  orcid: "https://orcid.org/0000-0003-4118-4590"
- family-names: "Zacharias"
  given-names: "Anissa"
  orcid: "https://orcid.org/0000-0002-2666-8493"
- family-names: "Zarzycki"
  given-names: "Colin"
- family-names: "Zedwick"
  given-names: "Aaron"
  orcid: "https://orcid.org/0000-0003-3229-3381"
title: "uxarray"
abstract: "Xarray extension for unstructured climate and global weather data analysis and visualization."
license: Apache-2.0
doi: 10.5281/zenodo.5655065
url: "https://uxarray.readthedocs.io/"
repository-code: "https://github.com/UXARRAY/uxarray"

GitHub Events

Total
  • Create event: 133
  • Release event: 13
  • Issues event: 236
  • Watch event: 41
  • Delete event: 136
  • Member event: 1
  • Issue comment event: 614
  • Push event: 1,204
  • Pull request review comment event: 468
  • Pull request review event: 598
  • Pull request event: 305
  • Fork event: 9
Last Year
  • Create event: 133
  • Release event: 13
  • Issues event: 236
  • Watch event: 41
  • Delete event: 136
  • Member event: 1
  • Issue comment event: 615
  • Push event: 1,205
  • Pull request review comment event: 468
  • Pull request review event: 598
  • Pull request event: 306
  • Fork event: 9

Committers

Last synced: 5 months ago

All Time
  • Total Commits: 1,785
  • Total Committers: 28
  • Avg Commits per committer: 63.75
  • Development Distribution Score (DDS): 0.64
Past Year
  • Commits: 340
  • Committers: 15
  • Avg Commits per committer: 22.667
  • Development Distribution Score (DDS): 0.659
Top Committers
Name Email Commits
Philip Chmielowiec 6****2 643
Rajeev Jain r****a@g****m 275
erogluorhan e****n@g****m 220
Hongyu Chen h****n@u****u 185
Aaron Zedwick a****k@g****m 107
michaelavs m****e@g****m 101
anissa111 a****z@u****u 84
dependabot[bot] 4****] 74
pre-commit-ci[bot] 6****] 43
Kijin Nam k****m@w****v 7
Paul Ullrich p****h@u****u 7
Mario Rodriguez m****z@u****u 7
David Ahijevych a****c@u****u 6
Heather Craker h****r@u****u 3
Ian Franda 1****a 3
Joe Schoonover 1****e 3
Alea Kootz 2****e 2
Filipe o****f@g****m 2
Katelyn FitzGerald 7****d 2
Rachel Tam 1****2 2
egallmeier e****r@u****u 2
Paul Gierz p****z@a****e 1
Maxime Liquet 3****t 1
Kristen Thyng k****g@g****m 1
Joshua Pan j****4@g****m 1
Florian Ziemen f****n 1
Rajeev Jain r****a@@g****m 1
David Galicia 5****3 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 4 months ago

All Time
  • Total issues: 626
  • Total pull requests: 817
  • Average time to close issues: 4 months
  • Average time to close pull requests: 24 days
  • Total issue authors: 47
  • Total pull request authors: 23
  • Average comments per issue: 1.1
  • Average comments per pull request: 2.63
  • Merged pull requests: 608
  • Bot issues: 0
  • Bot pull requests: 163
Past Year
  • Issues: 183
  • Pull requests: 379
  • Average time to close issues: 21 days
  • Average time to close pull requests: 12 days
  • Issue authors: 29
  • Pull request authors: 15
  • Average comments per issue: 0.42
  • Average comments per pull request: 1.92
  • Merged pull requests: 268
  • Bot issues: 0
  • Bot pull requests: 107
Top Authors
Issue Authors
  • philipc2 (340)
  • erogluorhan (82)
  • hongyuchen1030 (47)
  • aaronzedwick (33)
  • rajeeja (32)
  • anissa111 (14)
  • kjnam (12)
  • ahijevyc (8)
  • kafitzgerald (4)
  • jpan84 (4)
  • clyne (4)
  • fluidnumerics-joe (4)
  • zarzycki (4)
  • wwieder (2)
  • michaelavs (2)
Pull Request Authors
  • philipc2 (374)
  • dependabot[bot] (92)
  • pre-commit-ci[bot] (71)
  • aaronzedwick (69)
  • rajeeja (57)
  • hongyuchen1030 (44)
  • erogluorhan (43)
  • ahijevyc (12)
  • kjnam (12)
  • fluidnumerics-joe (8)
  • rytam2 (6)
  • anissa111 (5)
  • kafitzgerald (5)
  • jpan84 (4)
  • zmoon (2)
Top Labels
Issue Labels
new feature (207) bug (120) enhancement (61) documentation (45) improvement (32) release (29) CI (15) community support (13) redesign (13) high priority (10) dependencies (9) scalability (8) help wanted (7) testing (6) multiprecision (3) good first issue (3) question (2) uchicago-hack (2) invalid (1) run-benchmark (1)
Pull Request Labels
dependencies (97) documentation (48) run-benchmark (41) bug (33) new feature (27) improvement (24) enhancement (19) scalability (16) CI (15) github_actions (9) multiprecision (7) help wanted (6) redesign (5) release (4) community support (4) high priority (4) testing (3)

Packages

  • Total packages: 4
  • Total downloads:
    • pypi 30,121 last-month
  • Total dependent packages: 3
    (may contain duplicates)
  • Total dependent repositories: 3
    (may contain duplicates)
  • Total versions: 84
  • Total maintainers: 2
proxy.golang.org: github.com/UXARRAY/uxarray
  • Versions: 14
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 5.4%
Average: 5.6%
Dependent repos count: 5.8%
Last synced: 4 months ago
proxy.golang.org: github.com/uxarray/uxarray
  • Versions: 14
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 5.4%
Average: 5.6%
Dependent repos count: 5.8%
Last synced: 4 months ago
pypi.org: uxarray

Xarray extension for unstructured climate and global weather data analysis and visualization.

  • Documentation: https://uxarray.readthedocs.io/
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  • Latest release: 2025.8.0
    published 4 months ago
  • Versions: 49
  • Dependent Packages: 3
  • Dependent Repositories: 1
  • Downloads: 30,121 Last month
Rankings
Stargazers count: 6.9%
Dependent packages count: 7.4%
Forks count: 8.3%
Average: 12.2%
Downloads: 16.2%
Dependent repos count: 22.2%
Maintainers (2)
Last synced: 4 months ago
conda-forge.org: uxarray

Uxarray aims to address the geoscience community need for tools that enable standard data analysis techniques to operate directly on unstructured grid data. Uxarray will provide Xarray styled functions to better read in and use unstructured grid datasets that follow standard conventions, including UGRID, SCRIP, Exodus and shapefile formats. This effort is a result of the collaboration between Project Raijin (NCAR and Pennsylvania State University) and the SEATS Project (Argonne National Laboratory, UC Davis, and Lawrence Livermore National Laboratory). The Uxarray team welcomes other community members to become part of this collaboration at any level of contribution.

  • Versions: 7
  • Dependent Packages: 0
  • Dependent Repositories: 2
Rankings
Dependent repos count: 20.2%
Stargazers count: 35.4%
Average: 37.8%
Forks count: 43.8%
Dependent packages count: 51.6%
Last synced: 4 months ago

Dependencies

requirements.txt pypi
  • xarray *
.github/workflows/ci.yml actions
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.github/workflows/pre-commit.yml actions
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  • pre-commit/action v3.0.0 composite
.github/workflows/pypi.yaml actions
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  • actions/setup-python v4.5.0 composite
  • pypa/gh-action-pypi-publish v1.6.1 composite
.github/workflows/upstream-dev-ci.yml actions
  • actions/checkout v3 composite
  • conda-incubator/setup-miniconda v2 composite
  • styfle/cancel-workflow-action 0.11.0 composite
ci/environment.yml conda
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  • matplotlib-base
  • netcdf4
  • numba
  • numpy
  • pandas <2.1.0
  • pathlib
  • pre_commit
  • pyarrow <13.0.0
  • pytest
  • pytest-cov
  • requests
  • scikit-learn
  • scipy
  • shapely
  • spatialpandas
  • xarray
setup.py pypi