pyDARTdiags: A Python package for manipulating observation sequences and calculating observation-space diagnostics for the Data Assimilation Research Testbed (DART)
pyDARTdiags: A Python package for manipulating observation sequences and calculating observation-space diagnostics for the Data Assimilation Research Testbed (DART) - Published in JOSS (2026)
Science Score: 97.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
○codemeta.json file
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○.zenodo.json file
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✓DOI references
Found 1 DOI reference(s) in JOSS metadata -
○Academic publication links
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✓Committers with academic emails
3 of 4 committers (75.0%) from academic institutions -
✓Institutional organization owner
Organization ncar has institutional domain (ncar.ucar.edu) -
✓JOSS paper metadata
Published in Journal of Open Source Software
Keywords from Contributors
Repository
Python observation space diagnostics for the Data Assimilation Research Testbed (DART)
Basic Info
- Host: GitHub
- Owner: NCAR
- License: apache-2.0
- Language: Python
- Default Branch: main
- Size: 31.2 MB
Statistics
- Stars: 8
- Watchers: 4
- Forks: 5
- Open Issues: 16
- Releases: 6
Metadata Files
README.md
pyDARTdiags
pyDARTdiags is a Python library for observation space diagnostics for the Data Assimilation Research Testbed (DART).
pyDARTdiags is under initial development, so please use caution. The MATLAB observation space diagnostics are available through DART.
pyDARTdiags can be installed through pip: https://pypi.org/project/pydartdiags/
Documentation : https://ncar.github.io/pyDARTdiags/
Contributing
Contributions are welcome! If you have a feature request, bug report, or a suggestion, please open an issue on our GitHub repository. Please read our Contributors Guide if you would like to contribute to pyDARTdiags.
License
pyDARTdiags is released under the Apache License 2.0. For more details, see the LICENSE file in the root directory of this source tree or visit Apache License 2.0.
Owner
- Name: NSF National Center for Atmospheric Research
- Login: NCAR
- Kind: organization
- Location: Boulder, CO
- Website: http://ncar.ucar.edu
- Repositories: 934
- Profile: https://github.com/NCAR
NSF NCAR is sponsored by the U.S. National Science Foundation and managed by the University Corporation for Atmospheric Research.
JOSS Publication
pyDARTdiags: A Python package for manipulating observation sequences and calculating observation-space diagnostics for the Data Assimilation Research Testbed (DART)
Authors
NSF National Center for Atmospheric Research, Boulder CO, United States of America
NSF National Center for Atmospheric Research, Boulder CO, United States of America
Texas Tech University, United States of America
University of Vienna, Austria
Editor
Marcel Stimberg
Tags
data assimilation diagnostics atmospheric science observational dataCitation (CITATION.cff)
cff-version: 0.6.1 message: "If you use this software, please cite it as below." authors: - family-names: "Kershaw" given-names: "Helen" orcid: "https://orcid.org/0009-0002-3755-9978" - family-names: "Smith" given-names: "Marlee" orcid: "https://orcid.org/0009-0008-7616-9060" - family-names: "Isaac" given-names: "Arseneau" orcid: "https://orcid.org/0000-0003-4170-7734" - family-names: "Lukas" given-names: "Kugler" orcid: "https://orcid.org/0000-0002-4537-3164" title: "pyDARTdiags" version: 0.6.1 doi: 10.5281/zenodo.17315697 date-released: 2025-07-03 url: "https://github.com/NCAR/pyDARTdiags"
GitHub Events
Total
- Release event: 4
- Delete event: 47
- Member event: 1
- Pull request event: 58
- Fork event: 4
- Issues event: 92
- Watch event: 3
- Issue comment event: 118
- Push event: 283
- Pull request review comment event: 39
- Pull request review event: 46
- Create event: 52
Last Year
- Release event: 3
- Delete event: 21
- Member event: 1
- Pull request event: 37
- Fork event: 3
- Issues event: 49
- Watch event: 2
- Issue comment event: 61
- Push event: 143
- Pull request review comment event: 39
- Pull request review event: 44
- Create event: 24
Committers
Last synced: 8 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Helen Kershaw | h****w@u****u | 269 |
| iarsenea | i****0@g****m | 5 |
| Marlee Smith | m****h@u****u | 3 |
| Lukas Kugler | l****r@u****t | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 23 days ago
All Time
- Total issues: 62
- Total pull requests: 59
- Average time to close issues: 21 days
- Average time to close pull requests: 4 days
- Total issue authors: 4
- Total pull request authors: 4
- Average comments per issue: 0.47
- Average comments per pull request: 1.29
- Merged pull requests: 51
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 30
- Pull requests: 52
- Average time to close issues: 7 days
- Average time to close pull requests: 3 days
- Issue authors: 3
- Pull request authors: 3
- Average comments per issue: 0.5
- Average comments per pull request: 1.29
- Merged pull requests: 44
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- hkershaw-brown (55)
- icastorm (3)
- mjs2369 (2)
- lkugler (2)
Pull Request Authors
- hkershaw-brown (48)
- mjs2369 (7)
- icastorm (2)
- lkugler (2)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 394 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 15
- Total maintainers: 1
pypi.org: pydartdiags
Observation Sequence Diagnostics for DART
- Homepage: https://github.com/NCAR/pyDARTdiags.git
- Documentation: https://ncar.github.io/pyDARTdiags
- License: Apache-2.0
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Latest release: 0.6.4
published 30 days ago
Rankings
Maintainers (1)
Dependencies
- numpy >=1.26
- pandas >=2.2.0