wntr
An EPANET compatible python package to simulate and analyze water distribution networks under disaster scenarios.
Science Score: 49.0%
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
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✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 1 DOI reference(s) in README -
○Academic publication links
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✓Committers with academic emails
19 of 62 committers (30.6%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (15.2%) to scientific vocabulary
Keywords
Keywords from Contributors
Repository
An EPANET compatible python package to simulate and analyze water distribution networks under disaster scenarios.
Basic Info
Statistics
- Stars: 378
- Watchers: 39
- Forks: 208
- Open Issues: 37
- Releases: 29
Topics
Metadata Files
README.md
The Water Network Tool for Resilience (WNTR) is a Python package designed to simulate and analyze resilience of water distribution networks. The software includes capability to:
- Generate water network models
- Modify network structure and operations
- Add disruptive events including pipe leaks
- Add response/repair strategies
- Simulate pressure dependent demand and demand-driven hydraulics
- Simulate water quality
- Evaluate resilience
- Visualize results
For more information, go to https://usepa.github.io/WNTR/
Installation
The latest release of WNTR can be installed from PyPI or Anaconda using one of the following commands in a command line or PowerShell prompt.
pip install wntr
conda install -c conda-forge wntr
See installation instructions for more details.
Citing WNTR
To cite WNTR, use one of the following references:
Klise, K.A., Hart, D.B., Bynum, M., Hogge, J., Haxton, T., Murray, R., Burkhardt, J. (2020). Water Network Tool for Resilience (WNTR) User Manual: Version 0.2.3. U.S. EPA Office of Research and Development, Washington, DC, EPA/600/R-20/185, 82p.
Klise, K.A., Murray, R., Haxton, T. (2018). An overview of the Water Network Tool for Resilience (WNTR), In Proceedings of the 1st International WDSA/CCWI Joint Conference, Kingston, Ontario, Canada, July 23-25, 075, 8p.
Klise, K.A., Bynum, M., Moriarty, D., Murray, R. (2017). A software framework for assessing the resilience of drinking water systems to disasters with an example earthquake case study, Environmental Modelling and Software, 95, 420-431, doi: 10.1016/j.envsoft.2017.06.022
License
WNTR is released under the Revised BSD license. See LICENSE.md for more details.
Organization
Directories * wntr - Python package * documentation - User manual * examples - Examples and network files
Contact
- Katherine Klise, Sandia National Laboratories, kaklise@sandia.gov
- Terra Haxton, US Environmental Protection Agency, haxton.terra@epa.gov
- Regan Murray, US Environmental Protection Agency, murray.regan@epa.gov
EPA Disclaimer
The United States Environmental Protection Agency (EPA) GitHub project code is provided on an "as is" basis and the user assumes responsibility for its use. EPA has relinquished control of the information and no longer has responsibility to protect the integrity , confidentiality, or availability of the information. Any reference to specific commercial products, processes, or services by service mark, trademark, manufacturer, or otherwise, does not constitute or imply their endorsement, recommendation or favoring by EPA. The EPA seal and logo shall not be used in any manner to imply endorsement of any commercial product or activity by EPA or the United States Government.
Sandia Funding Statement
Sandia National Laboratories is a multimission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC., a wholly owned subsidiary of Honeywell International, Inc., for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-NA-0003525.
Owner
- Name: U.S. Environmental Protection Agency
- Login: USEPA
- Kind: organization
- Location: United States of America
- Website: https://www.epa.gov
- Twitter: EPA
- Repositories: 449
- Profile: https://github.com/USEPA
GitHub Events
Total
- Create event: 14
- Release event: 8
- Issues event: 58
- Watch event: 57
- Delete event: 4
- Member event: 1
- Issue comment event: 158
- Push event: 53
- Pull request review comment event: 12
- Pull request event: 87
- Pull request review event: 28
- Fork event: 26
Last Year
- Create event: 14
- Release event: 8
- Issues event: 58
- Watch event: 57
- Delete event: 4
- Member event: 1
- Issue comment event: 158
- Push event: 53
- Pull request review comment event: 12
- Pull request event: 87
- Pull request review event: 28
- Fork event: 26
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| kaklise | k****e@s****v | 1,181 |
| Michael Bynum | m****m | 783 |
| dbhart | d****t@s****v | 473 |
| Wendy Dushanin | 7****n | 134 |
| kbonney | k****8@g****m | 100 |
| jhogge | 5****e | 47 |
| Arpan Seth | s****a@p****u | 45 |
| Thi | t****n@g****m | 32 |
| Terra Haxton | t****n | 24 |
| Santiago | s****o@g****m | 20 |
| Daniel Villa | 3****a | 17 |
| Joerg Rings | m****l@r****e | 9 |
| Josh | j****h@j****k | 9 |
| dmmoria | d****a@s****v | 9 |
| Joi Chu-Ketterer | 4****t | 8 |
| Regan Murray | m****n@e****v | 8 |
| Carl Laird | c****d@C****l | 8 |
| Michael Bynum | m****m@p****u | 7 |
| santiagoropb | s****b@g****m | 6 |
| GalPerelman | p****r@g****m | 5 |
| Stephen Frechette | s****e@c****u | 5 |
| angusmcb | 5****b | 4 |
| Michael Bynum | m****m@p****u | 4 |
| Michael Bynum | b****m@B****l | 4 |
| Michael Bynum | b****m@c****u | 3 |
| Michael Bynum | m****m@p****u | 3 |
| Timothy Van Daele | T****e@d****e | 2 |
| Patrick Hassett | h****k@e****v | 2 |
| Carl Laird | c****d@p****u | 2 |
| Buhari Shehu | 4****S | 2 |
| and 32 more... | ||
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 273
- Total pull requests: 293
- Average time to close issues: 4 months
- Average time to close pull requests: 18 days
- Total issue authors: 153
- Total pull request authors: 35
- Average comments per issue: 3.29
- Average comments per pull request: 1.11
- Merged pull requests: 218
- Bot issues: 0
- Bot pull requests: 1
Past Year
- Issues: 38
- Pull requests: 91
- Average time to close issues: about 1 month
- Average time to close pull requests: 14 days
- Issue authors: 25
- Pull request authors: 10
- Average comments per issue: 1.42
- Average comments per pull request: 1.46
- Merged pull requests: 57
- Bot issues: 0
- Bot pull requests: 1
Top Authors
Issue Authors
- angusmcb (12)
- tyjchen (8)
- henryco123 (6)
- pshassett (6)
- michaelbynum (6)
- kalebsm (5)
- DanielaBS1 (5)
- uthmankareem (5)
- YanisaMadmay (5)
- dionikolop (5)
- jeongsoo0908 (4)
- mi-les (4)
- emmaliulu (4)
- chocolate-771 (4)
- kbonney (4)
Pull Request Authors
- kaklise (120)
- kbonney (66)
- dbhart (33)
- angusmcb (22)
- michaelbynum (20)
- wDushanin (10)
- Thaulino (3)
- jckett (3)
- BuhariS (3)
- jhogge (3)
- jrings (3)
- mi-les (2)
- pshassett (2)
- dependabot[bot] (2)
- seanotoole03 (2)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 2
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Total downloads:
- pypi 13,689 last-month
- Total docker downloads: 9
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Total dependent packages: 6
(may contain duplicates) -
Total dependent repositories: 22
(may contain duplicates) - Total versions: 35
- Total maintainers: 1
pypi.org: wntr
Water Network Tool for Resilience
- Homepage: https://github.com/USEPA/WNTR
- Documentation: https://wntr.readthedocs.io/
- License: Revised BSD
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Latest release: 1.3.2
published 12 months ago
Rankings
Maintainers (1)
conda-forge.org: wntr
- Homepage: https://github.com/USEPA/WNTR
- License: BSD-3-Clause
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Latest release: v0.4.2
published over 3 years ago
Rankings
Dependencies
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- numpy *
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- pandas *
- plotly <=5.11.0
- pytest *
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- scipy *
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