Water Network Tool for Resilience
Project description
<h1> <img src=”https://raw.githubusercontent.com/usepa/wntr/main/documentation/_static/logo.jpg” width=”375”> </h1><br>
[![build](https://github.com/USEPA/WNTR/workflows/build/badge.svg)](https://github.com/USEPA/WNTR/actions/workflows/build_tests.yml) [![Coverage Status](https://coveralls.io/repos/github/USEPA/WNTR/badge.svg?branch=main)](https://coveralls.io/github/USEPA/WNTR?branch=main) [![Documentation Status](https://github.com/USEPA/WNTR/actions/workflows/build_deploy_pages.yml/badge.svg)](https://github.com/usepa/wntr/actions/workflows/build_deploy_pages.yml)
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.
PyPI [![version](https://img.shields.io/pypi/v/wntr.svg?maxAge=3600)](https://pypi.org/project/wntr/) [![Downloads](https://static.pepy.tech/badge/wntr)](https://pepy.tech/project/wntr)
pip install wntr
Anaconda [![version](https://anaconda.org/conda-forge/wntr/badges/version.svg)](https://anaconda.org/conda-forge/wntr) [![downloads](https://anaconda.org/conda-forge/wntr/badges/downloads.svg)](https://anaconda.org/conda-forge/wntr)
conda install -c conda-forge wntr
See [installation instructions](https://usepa.github.io/WNTR/installation.html) 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](https://github.com/USEPA/WNTR/blob/main/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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distributions
File details
Details for the file wntr-1.2.0.tar.gz
.
File metadata
- Download URL: wntr-1.2.0.tar.gz
- Upload date:
- Size: 3.2 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 05f9f491c3e2eb2f3735c108c69f1e1509cb0af9a4180ccf2ce4295e9c3ae3f2 |
|
MD5 | 129815357ec893b815153d040a525a62 |
|
BLAKE2b-256 | 190c6d47ba35ed886d64eb62527c2d37e352a318da500ba4906b462bd7f011d7 |
File details
Details for the file wntr-1.2.0-cp311-cp311-win_amd64.whl
.
File metadata
- Download URL: wntr-1.2.0-cp311-cp311-win_amd64.whl
- Upload date:
- Size: 3.4 MB
- Tags: CPython 3.11, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 94478ddba63fc3eccc2ed6af244a16df761743d1fcc22d6a594d5229d2c7c5f6 |
|
MD5 | d37a17a36dafb4805b83e5d7973a9426 |
|
BLAKE2b-256 | b71b389d2704b829da7ce897b54883454a46099d300a9f6491b5bb3b76420294 |
File details
Details for the file wntr-1.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: wntr-1.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 4.2 MB
- Tags: CPython 3.11, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 87240554d2cba9d731d9696c8932cfedf1991fd37bfe6c38545d6332b29cedea |
|
MD5 | 26dda1172443328305c8b6900b138160 |
|
BLAKE2b-256 | 8dc941dde51190820b9878efea5ecd4e54d49830cf50ffb8a7cb992695ef4908 |
File details
Details for the file wntr-1.2.0-cp311-cp311-macosx_10_15_x86_64.whl
.
File metadata
- Download URL: wntr-1.2.0-cp311-cp311-macosx_10_15_x86_64.whl
- Upload date:
- Size: 3.4 MB
- Tags: CPython 3.11, macOS 10.15+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5c3e91d1ad5605e34f8eb9a8e56ed62174aae7e6fb509f05fd2db6cbcf17cc43 |
|
MD5 | ca491ffd111fe5c97a7a468a71a97b2a |
|
BLAKE2b-256 | ecc14f34d871a584ed6ec76cee92d7e6578ad6c348b98a71f593c724e31e7c0c |
File details
Details for the file wntr-1.2.0-cp310-cp310-win_amd64.whl
.
File metadata
- Download URL: wntr-1.2.0-cp310-cp310-win_amd64.whl
- Upload date:
- Size: 3.4 MB
- Tags: CPython 3.10, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 396880e740e93c0c80a233816b435dfcc6868f4e9999e7b0627870f2ab6d5207 |
|
MD5 | 20ec8361b02f814af0ebbb3400fa93b6 |
|
BLAKE2b-256 | e9eed6ab0f4a1492c35859bee49fd8a3614a6b21415bae552c35a9bebacf5b78 |
File details
Details for the file wntr-1.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: wntr-1.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 4.2 MB
- Tags: CPython 3.10, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c97c7940171e132726cdc98d1cf62564c164aaf29a44c303a7f848f3a9ee4e21 |
|
MD5 | 6504c527ddab48a3d4a437359b1585a3 |
|
BLAKE2b-256 | 0db52e3315e79f2b8c597a0b3ae437a6ef86ab92ea54ac0e35d3c8d6901e0ede |
File details
Details for the file wntr-1.2.0-cp310-cp310-macosx_10_15_x86_64.whl
.
File metadata
- Download URL: wntr-1.2.0-cp310-cp310-macosx_10_15_x86_64.whl
- Upload date:
- Size: 3.4 MB
- Tags: CPython 3.10, macOS 10.15+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | da4efabc6f3dbb3d0eff8d1d35448ac96421a260cc1de2d29f6d71116a8b4d6c |
|
MD5 | 22de688add8e1e55f92140078f5f5f56 |
|
BLAKE2b-256 | c4283433e21506820be993774c585427b459e396840b4d8e30515e5462afe58d |
File details
Details for the file wntr-1.2.0-cp39-cp39-win_amd64.whl
.
File metadata
- Download URL: wntr-1.2.0-cp39-cp39-win_amd64.whl
- Upload date:
- Size: 3.4 MB
- Tags: CPython 3.9, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 298564bf78acdbefcee40b236cf4f5994af64701ff882af250f4d1fedb00647e |
|
MD5 | 99cfb70e7c6fe70779d819a422f1cf0f |
|
BLAKE2b-256 | c4350ff91f32ee38817b26bf78ad3eeb0355ec7980faf1fdfe7ec6352750ca25 |
File details
Details for the file wntr-1.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: wntr-1.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 4.2 MB
- Tags: CPython 3.9, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7fa0eb549ec3f48f6d9bcc86306c39305d5a5e819b9ab76bc4a44677e8684082 |
|
MD5 | fd781209c6599377d254ffc7b83a983b |
|
BLAKE2b-256 | 88d4301b93608065f96af64b5a69f7f90c58a3381b07fca542d6078200626774 |
File details
Details for the file wntr-1.2.0-cp39-cp39-macosx_10_15_x86_64.whl
.
File metadata
- Download URL: wntr-1.2.0-cp39-cp39-macosx_10_15_x86_64.whl
- Upload date:
- Size: 3.4 MB
- Tags: CPython 3.9, macOS 10.15+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 650beb53d8607d806810354d07ed8400affdcc15bb09733218541924028b8894 |
|
MD5 | 72f5c521bfcf6789c216623511481c68 |
|
BLAKE2b-256 | 9550601cec9b25c087845fcf888043f745bf1231f93ddd828cbb1d284988bc21 |
File details
Details for the file wntr-1.2.0-cp38-cp38-win_amd64.whl
.
File metadata
- Download URL: wntr-1.2.0-cp38-cp38-win_amd64.whl
- Upload date:
- Size: 3.4 MB
- Tags: CPython 3.8, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2ff669606a3dbb374a5cac29954bb7046bcbb19e3b6942b7c817a8750da5ad28 |
|
MD5 | fc8d81300097ad2c410f1a84bf4b11fa |
|
BLAKE2b-256 | 8d036096963e5be7564451918aad9926b29adfd807dfa9f7611925f8f3f8c7a8 |
File details
Details for the file wntr-1.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: wntr-1.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 4.2 MB
- Tags: CPython 3.8, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ec2dcbaabeb1398592f30276f574bfc0cc81737eecf4a235875bbca7edafc400 |
|
MD5 | 7be3f80574f37d4eed60651b39f06dd0 |
|
BLAKE2b-256 | 0a0592dd3b14f8df58f06578ff5f97bbfa06ed9fec29196f81ead6ca61a53f01 |
File details
Details for the file wntr-1.2.0-cp38-cp38-macosx_10_15_x86_64.whl
.
File metadata
- Download URL: wntr-1.2.0-cp38-cp38-macosx_10_15_x86_64.whl
- Upload date:
- Size: 3.4 MB
- Tags: CPython 3.8, macOS 10.15+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8f3994e56ca1b910b5a90f002a7452f875dd9881e420300ab32a076485d59dd3 |
|
MD5 | 394c04c0b66c831d5b2c878200bbbc83 |
|
BLAKE2b-256 | 5c0685302e3b258eeb0baaeb1f504c50249c2480967f576b30e23d8a4a136fbb |
File details
Details for the file wntr-1.2.0-cp37-cp37m-win_amd64.whl
.
File metadata
- Download URL: wntr-1.2.0-cp37-cp37m-win_amd64.whl
- Upload date:
- Size: 3.4 MB
- Tags: CPython 3.7m, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2b04facc2532e88c33b2c3c73985ae006b5bb2b2823cf40e14284741eca72dba |
|
MD5 | 2db614c0c8e7935b980be9072a7dbd51 |
|
BLAKE2b-256 | 2666923f2cc8f8439df79a2baac7dabf0fa98abf2cea4f35d23db7fb1858aada |
File details
Details for the file wntr-1.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: wntr-1.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 4.2 MB
- Tags: CPython 3.7m, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 473ab9568d4aeb61d56711b7921613c34cd7c0e811c3244a84729ade6e804863 |
|
MD5 | 30e47ae2d93c14bf299317482d383bbe |
|
BLAKE2b-256 | df845a5d1c6ad1a5446d0371c64514ac90cdd99069ddea630d9dd9ecc4d0f918 |
File details
Details for the file wntr-1.2.0-cp37-cp37m-macosx_10_15_x86_64.whl
.
File metadata
- Download URL: wntr-1.2.0-cp37-cp37m-macosx_10_15_x86_64.whl
- Upload date:
- Size: 3.4 MB
- Tags: CPython 3.7m, macOS 10.15+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4cf6ca8b6326d62195064ba63e5164a19fb1eb0c892bf6ed20e693ee5c42398c |
|
MD5 | 784b74150db0d90c54678a52f929b29a |
|
BLAKE2b-256 | 060c052fe9d091c3c3f29c6dbd2032e793c43212dd56ead364df1c1c24ba0b5f |