geoschem-gcpy
Python toolkit for GEOS-Chem. Contains basic plotting scripts, plus the suite of GEOS-Chem benchmarking utilities.
Science Score: 59.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 3 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
✓Committers with academic emails
11 of 16 committers (68.8%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (14.5%) to scientific vocabulary
Keywords
Keywords from Contributors
Repository
Python toolkit for GEOS-Chem. Contains basic plotting scripts, plus the suite of GEOS-Chem benchmarking utilities.
Basic Info
- Host: GitHub
- Owner: geoschem
- License: other
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://gcpy.readthedocs.io
- Size: 10.1 MB
Statistics
- Stars: 54
- Watchers: 8
- Forks: 27
- Open Issues: 25
- Releases: 24
Topics
Metadata Files
README.md
GCPy: Python toolkit for GEOS-Chem
GCPy is a Python-based toolkit containing useful functions for working specifically with the GEOS-Chem model of atmospheric chemistry and composition.
GCPy aims to build on the well-established scientific Python technical stack, leveraging tools like cartopy, numpy, and xarray to simplify the task of working with GEOS-Chem model output and performing atmospheric chemistry analyses.
What GCPy was intended to do:
- Produce plots and tables from GEOS-Chem output using simple function calls.
- Generate the standard evaluation plots and tables for GEOS-Chem benchmark simulations.
- Obtain GEOS-Chem's horizontal and vertical grid information.
- Implement GCHP-specific regridding functionalities (e.g. cubed-sphere to lat-lon regridding)
- Provide example scripts for creating specific types of plots or analysis from GEOS-Chem output.
- Provide user-submitted scripts for specific applications related to GEOS-Chem and HEMCO.
What GCPy was not intended to do:
General NetCDF file modification: (crop a domain, extract some variables):
- Instead, use netCDF tools such as:
- Also see our Work with netCDF files guide at geos-chem.readthedocs.io
Statistical analysis:
- Instead, use statistical tools such as:
- Use scipy
- scikit-learn
- R
- etc
- Instead, use statistical tools such as:
Machine Learning:
- Instead, use machine learning tools such as:
- pytorch,
- tensorflow
- julia
- etc.
- Instead, use machine learning tools such as:
Documentation:
For more information on installing and using GCPy, visit the official documentation at gcpy.readthedocs.io.
License
GCPy is distributed under the MIT license. Please see the GCPy license agreement and List of GCPy developers for more information.
Requesting support
To report a bug or suggest a new feature, please see our Support Guidelines.
Submitting new features
If you are interested in submitting code to GCPy, please see our Contributing Guidelines.
Owner
- Name: GEOS-Chem
- Login: geoschem
- Kind: organization
- Email: geos-chem-support@g.harvard.edu
- Location: International
- Website: http://www.geos-chem.org
- Repositories: 51
- Profile: https://github.com/geoschem
The GEOS-Chem model of atmospheric chemistry and composition
GitHub Events
Total
- Create event: 24
- Issues event: 9
- Release event: 2
- Watch event: 5
- Delete event: 19
- Issue comment event: 22
- Push event: 76
- Pull request review comment event: 13
- Pull request review event: 36
- Pull request event: 39
- Fork event: 3
Last Year
- Create event: 24
- Issues event: 9
- Release event: 2
- Watch event: 5
- Delete event: 19
- Issue comment event: 22
- Push event: 76
- Pull request review comment event: 13
- Pull request review event: 36
- Pull request event: 39
- Fork event: 3
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Bob Yantosca | y****a@s****u | 730 |
| Will Downs | w****s@g****u | 269 |
| Lizzie Lundgren | e****n@s****u | 239 |
| Melissa Sulprizio | m****r@s****u | 116 |
| darothen | d****n@m****u | 34 |
| laestrada | l****0@g****m | 32 |
| Liam Bindle | l****e@g****m | 31 |
| JiaweiZhuang | j****g@g****u | 18 |
| Sebastian D. Eastham | s****m@m****u | 17 |
| Killian Murphy | k****y@y****k | 14 |
| Yuanjian Zhang | y****z@w****u | 10 |
| dependabot[bot] | 4****] | 6 |
| Lucas Estrada | l****a@h****u | 2 |
| Hannah O Nesser | h****r@g****m | 1 |
| jmoch1214 | j****h@g****u | 1 |
| Tomas Sherwen | t****n@T****l | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 231
- Total pull requests: 154
- Average time to close issues: 4 months
- Average time to close pull requests: 9 days
- Total issue authors: 40
- Total pull request authors: 14
- Average comments per issue: 2.87
- Average comments per pull request: 1.25
- Merged pull requests: 130
- Bot issues: 0
- Bot pull requests: 15
Past Year
- Issues: 8
- Pull requests: 47
- Average time to close issues: 16 days
- Average time to close pull requests: 8 days
- Issue authors: 4
- Pull request authors: 6
- Average comments per issue: 0.75
- Average comments per pull request: 0.53
- Merged pull requests: 38
- Bot issues: 0
- Bot pull requests: 3
Top Authors
Issue Authors
- lizziel (68)
- yantosca (56)
- msulprizio (39)
- WilliamDowns (9)
- TylerElgiar (5)
- 1Dandan (4)
- jmoch1214 (4)
- laestrada (4)
- barronh (3)
- tsherwen (2)
- Aosrain (2)
- sdeastham (2)
- SadiaToma (2)
- liwenjia12 (2)
- LyssaFreese (1)
Pull Request Authors
- yantosca (101)
- dependabot[bot] (21)
- msulprizio (19)
- lizziel (18)
- LiamBindle (10)
- yuanjianz (6)
- laestrada (5)
- kilicomu (3)
- sdeastham (1)
- tsherwen (1)
- hannahnesser (1)
- Jourdan-He (1)
- 1Dandan (1)
- jmoch1214 (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 3
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Total downloads:
- pypi 269 last-month
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Total dependent packages: 0
(may contain duplicates) -
Total dependent repositories: 1
(may contain duplicates) - Total versions: 28
- Total maintainers: 2
proxy.golang.org: github.com/geoschem/gcpy
- Documentation: https://pkg.go.dev/github.com/geoschem/gcpy#section-documentation
- License: other
-
Latest release: v0.2.1
published almost 6 years ago
Rankings
pypi.org: geoschem-gcpy
- Homepage: https://github.com/geoschem/gcpy
- Documentation: https://geoschem-gcpy.readthedocs.io/
- License: MIT
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Latest release: 1.6.2
published 8 months ago
Rankings
Maintainers (2)
conda-forge.org: geoschem-gcpy
- Homepage: https://github.com/geoschem/gcpy
- License: MIT
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Latest release: 1.3.2
published over 3 years ago
Rankings
Dependencies
- docutils ==0.16
- jinja2 ==3.0.3
- recommonmark *
- sphinx ==3.5.4
- sphinx_rtd_theme ==0.5.2
- sphinxcontrib-bibtex ==2.2.0
- actions/checkout v3 composite
- github/codeql-action/analyze v2 composite
- github/codeql-action/autobuild v2 composite
- github/codeql-action/init v2 composite
- actions/checkout v3 composite
- actions/setup-python v3 composite
- actions/stale v5 composite
- actions/checkout v2 composite
- mamba-org/setup-micromamba v1 composite
- actions/checkout v2 composite
- mamba-org/setup-micromamba v1 composite
- awscli ==2.13.39
- cartopy ==0.22.0
- cf_xarray ==0.8.4
- dask ==2023.9.2
- docutils ==0.16
- esmf ==8.1.1
- esmpy ==8.1.1
- gridspec ==0.1.0
- ipython ==8.15.0
- jinja2 ==3.0.3
- joblib ==1.3.2
- jupyter ==1.0.0
- matplotlib ==3.8.0
- netcdf-fortran ==4.5.4
- netcdf4 ==1.6.0
- numpy ==1.26.0
- pandas ==2.1.1
- pip ==23.2.1
- pylint ==2.17.5
- pypdf ==3.16.1
- pyproj ==3.6.1
- python ==3.9.18
- recommonmark ==0.7.1
- requests ==2.31.0
- scipy ==1.11.2
- sparselt ==0.1.3
- sphinx ==3.5.4
- sphinx-autoapi ==1.9.0
- sphinx-autobuild ==2021.3.14
- sphinx_rtd_theme ==0.5.2
- sphinxcontrib-bibtex ==2.2.0
- tabulate ==0.9.0
- tk ==8.6.12
- xarray ==2023.8.0
- xesmf ==0.5.1