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EPyT-Flow

Provides easy access to water distribution network simulations with a high level interface for generation of hydraulic and water quality scenario data.
https://github.com/waterfutures/epyt-flow

Category: Natural Resources
Sub Category: Water Supply and Quality

Keywords

epanet epanet-python-toolkit hydraulics python simulation water water-distribution-networks

Keywords from Contributors

water

Last synced: about 15 hours ago
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Repository metadata

A Python package designed for the easy generation of hydraulic and water quality scenario data of water distribution networks.

README.md

pypi
License: MIT
PyPI - Python Version
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Documentation Status
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EPyT-Flow -- EPANET Python Toolkit - Flow

EPyT-Flow is a Python package building on top of EPyT
for providing easy access to water distribution network simulations.
It aims to provide a high-level interface for the easy generation of hydraulic and water quality scenario data.
However, it also provides access to low-level functions by EPANET
and EPANET-MSX.

EPyT-Flow provides easy access to popular benchmark data sets for event detection and localization.
Furthermore, it also provides an environment for developing and testing control algorithms.

Unique Features

Unique features of EPyT-Flow that make it superior to other (Python) toolboxes are the following:

  • High-performance hydraulic and (advanced) water quality simulation
  • High- and low-level interface
  • Object-orientated design that is easy to extend and customize
  • Sensor configurations
  • Wide variety of pre-defined events (e.g. leakages, sensor faults, actuator events, contamination, cyber-attacks, etc.)
  • Wide variety of pre-defined types of global & local uncertainties (e.g. model uncertainties)
  • Step-wise simulation and environment for training and evaluating control strategies
  • Serialization module for easy exchange of data and (scenario) configurations
  • REST API to make EPyT-Flow accessible in other applications
  • Access to many WDNs and popular benchmarks (incl. their evaluation)

Installation

EPyT-Flow supports Python 3.9 - 3.13

Note that EPANET and EPANET-MSX sources are compiled and overwrite the binaries
shipped by EPyT IF EPyT-Flow is installed on a Unix system and the gcc compiler is available.
By this, we not only aim to achieve a better performance of the simulations but also avoid any
compatibility issues of pre-compiled binaries.

Prerequisites for macOS users

The "true" gcc compiler (version 12) is needed which is not the
clang compiler that is shipped with Xcode and is linked to gcc!

The correct version of the "true" gcc can be installed via brew:

brew install gcc@12

PyPI

pip install epyt-flow

Git

Download or clone the repository:

git clone https://github.com/WaterFutures/EPyT-Flow.git
cd EPyT-Flow

Install all requirements as listed in REQUIREMENTS.txt:

pip install -r REQUIREMENTS.txt

Install the toolbox:

pip install .

Quick Example

from epyt_flow.data.benchmarks import load_leakdb_scenarios
from epyt_flow.simulation import ScenarioSimulator
from epyt_flow.utils import to_seconds


if __name__ == "__main__":
    # Load first Hanoi scenario from LeakDB
    network_config, = load_leakdb_scenarios(scenarios_id=["1"], use_net1=False)

    # Create scenario
    with ScenarioSimulator(scenario_config=network_config) as sim:
        # Set simulation duration to two days
        sim.set_general_parameters(simulation_duration=to_seconds(days=2))

        # Place pressure sensors at nodes "13", "16", "22", and "30"
        sim.set_pressure_sensors(sensor_locations=["13", "16", "22", "30"])

        # Place a flow sensor at link/pipe "1"
        sim.set_flow_sensors(sensor_locations=["1"])

        # Run entire simulation
        scada_data = sim.run_simulation()

        # Print & plot sensor readings over the entire simulation
        print(f"Pressure readings: {scada_data.get_data_pressures()}")
        scada_data.plot_pressures()

        print(f"Flow readings: {scada_data.get_data_flows()}")
        scada_data.plot_flows()

Generated plots

Documentation

Documentation is available on readthedocs: https://epyt-flow.readthedocs.io/en/latest/

How to Get Started?

EPyT-Flow is accompanied by an extensive documentation
https://epyt-flow.readthedocs.io/en/latest/
(including many examples).

If you are new to water distribution networks, we recommend first to read the chapter on
Modeling of Water Distribution Networks.
You might also want to check out some lecture notes on
Smart Water Systems.

If you are already familiar with WDNs (and software such as EPANET), we recommend checking out
our WDSA CCWI 2024 tutorial which
not only teaches you how to use EPyT and EPyT-Flow but also contains some examples of applying
Machine Learning in WDNs.
Besides that, you can read in-depth about the different functionalities of EPyT-Flow in the
In-depth Tutorial of the documentation --
we recommend reading the chapters in the order in which they are presented;
you might decide to skip some of the last chapters if their content is not relevant to you.

More Networks and Benchmarks

More Water Distribution Networks (WDNs) and benchmarks are available on the
WaterBenchmarkHub platform.

More on Control

We recommend checking out EPyT-Control
if you are intersted in (data-driven) control and relates tasks such as state estimation
and event diagnosis in Water Distribution Networks.

License

MIT license -- see LICENSE

How to Cite?

If you use this software, please cite it as follows:

@article{Artelt2024,
    doi = {10.21105/joss.07104},
    url = {https://doi.org/10.21105/joss.07104},
    year = {2024},
    publisher = {The Open Journal},
    volume = {9},
    number = {103},
    pages = {7104},
    author = {André Artelt and Marios S. Kyriakou and Stelios G. Vrachimis and Demetrios G. Eliades and Barbara Hammer and Marios M. Polycarpou},
    title = {EPyT-Flow: A Toolkit for Generating Water Distribution Network Data},
    journal = {Journal of Open Source Software}
}

How to get Support?

If you come across any bug or need assistance please feel free to open a new
issue
if non of the existing issues answers your questions.

How to Contribute?

Contributions (e.g. creating issues, pull-requests, etc.) are welcome --
please make sure to read the code of conduct and
follow the developers' guidelines.

Citation (CITATION.cff)

cff-version: "1.2.0"
authors:
- family-names: Artelt
  given-names: André
  orcid: "https://orcid.org/0000-0002-2426-3126"
- family-names: Kyriakou
  given-names: Marios S.
  orcid: "https://orcid.org/0000-0002-2324-8661"
- family-names: Vrachimis
  given-names: Stelios G.
  orcid: "https://orcid.org/0000-0001-8862-5205"
- family-names: Eliades
  given-names: Demetrios G.
  orcid: "https://orcid.org/0000-0001-6184-6366"
- family-names: Hammer
  given-names: Barbara
  orcid: "https://orcid.org/0000-0002-0935-5591"
- family-names: Polycarpou
  given-names: Marios M.
  orcid: "https://orcid.org/0000-0001-6495-9171"
contact:
- family-names: Artelt
  given-names: André
  orcid: "https://orcid.org/0000-0002-2426-3126"
message: If you use this software, please cite our article in the
  Journal of Open Source Software.
preferred-citation:
  authors:
  - family-names: Artelt
    given-names: André
    orcid: "https://orcid.org/0000-0002-2426-3126"
  - family-names: Kyriakou
    given-names: Marios S.
    orcid: "https://orcid.org/0000-0002-2324-8661"
  - family-names: Vrachimis
    given-names: Stelios G.
    orcid: "https://orcid.org/0000-0001-8862-5205"
  - family-names: Eliades
    given-names: Demetrios G.
    orcid: "https://orcid.org/0000-0001-6184-6366"
  - family-names: Hammer
    given-names: Barbara
    orcid: "https://orcid.org/0000-0002-0935-5591"
  - family-names: Polycarpou
    given-names: Marios M.
    orcid: "https://orcid.org/0000-0001-6495-9171"
  date-published: 2024-11-12
  doi: 10.21105/joss.07104
  issn: 2475-9066
  issue: 103
  journal: Journal of Open Source Software
  publisher:
    name: Open Journals
  start: 7104
  title: "EPyT-Flow: A Toolkit for Generating Water Distribution Network
    Data"
  type: article
  url: "https://joss.theoj.org/papers/10.21105/joss.07104"
  volume: 9
title: "EPyT-Flow: A Toolkit for Generating Water Distribution Network
  Data"

Owner metadata


GitHub Events

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Committers metadata

Last synced: 6 days ago

Total Commits: 698
Total Committers: 4
Avg Commits per committer: 174.5
Development Distribution Score (DDS): 0.129

Commits in past year: 419
Committers in past year: 4
Avg Commits per committer in past year: 104.75
Development Distribution Score (DDS) in past year: 0.158

Name Email Commits
André Artelt a****t@t****e 608
kurceliana k****a@g****m 55
Marios S. Kyriakou m****k@g****m 33
Stelios G. Vrachimis v****s@u****y 2

Committer domains:


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Last synced: 1 day ago

Total issues: 26
Total pull requests: 3
Average time to close issues: 14 days
Average time to close pull requests: 14 days
Total issue authors: 5
Total pull request authors: 2
Average comments per issue: 3.19
Average comments per pull request: 3.33
Merged pull request: 2
Bot issues: 0
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Past year issues: 18
Past year pull requests: 3
Past year average time to close issues: 14 days
Past year average time to close pull requests: 14 days
Past year issue authors: 4
Past year pull request authors: 2
Past year average comments per issue: 3.72
Past year average comments per pull request: 3.33
Past year merged pull request: 2
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/waterfutures/epyt-flow

Top Issue Authors

  • andreArtelt (14)
  • Mariosmsk (8)
  • meghnathomas (2)
  • kbonney (1)
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  • gieseka (2)
  • kurceliana (1)

Top Issue Labels

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  • bug (1)

Top Pull Request Labels


Package metadata

pypi.org: epyt-flow

EPyT-Flow -- EPANET Python Toolkit - Flow

  • Homepage: https://github.com/WaterFutures/EPyT-Flow
  • Documentation: https://epyt-flow.readthedocs.io/en/stable/
  • Licenses: mit
  • Latest release: 0.12.0 (published 2 days ago)
  • Last Synced: 2025-04-25T07:32:07.437Z (2 days ago)
  • Versions: 17
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 540 Last month
  • Rankings:
    • Dependent packages count: 9.415%
    • Average: 35.762%
    • Dependent repos count: 62.109%
  • Maintainers (2)

Dependencies

.github/workflows/build_tests.yml actions
  • actions/checkout v4 composite
  • actions/setup-python v5 composite
.github/workflows/draft-pdf.yml actions
  • actions/checkout v4 composite
  • actions/upload-artifact v4 composite
  • openjournals/openjournals-draft-action master composite
docs/requirements.txt pypi
  • epyt-flow *
  • ipykernel >=6.29.3
  • nbsphinx >=0.9.3
  • sphinx >=7.2.6
  • sphinx-rtd-theme >=2.0.0
pyproject.toml pypi
setup.py pypi

Score: 11.048856192546012