An unofficial SWAT (Soil & Water Assessment Tool) code collection from official historical releases and the scientific community.

• UpdatedNov 29, 2023
• Fortran

A tool for data preprocess on iTrust SWaT dataset.

• UpdatedOct 11, 2022
• Jupyter Notebook

Industrial datasets - datasets for evaluating industrial intrusion detection systems on IPAL.

• UpdatedApr 22, 2025
• Python

The automated workflow for setting up SWAT Models presented in Chawanda et al., 2019 EMS

• UpdatedOct 9, 2019
• Python

A Python wrapper for executing and calibrating the Soil and Water Assessment Tool (SWAT) in Unix/macOS systems.

• UpdatedAug 17, 2024
• Python

NASAaccess is R package that can generate gridded ascii tables of climate (CIMP5) and weather data (GPM, TRMM, GLDAS) needed to drive various hydrological models (e.g., SWAT, VIC, RHESSys, ..etc). The package assumes that users have already set up a registration account(s) with Earthdata login as well as authorizing NASA GESDISC data access. Ple…

• UpdatedNov 12, 2024
• R

QGIS Processing provider for SWAT based hydrological modelling

• UpdatedFeb 19, 2018
• Python

This software uses a config file (config.py), which is a settings file, to build and run SWAT+ models. Users can share the config along with their published works to promote transparency as all model options are well documented in the file. Sharing the namelist and data also allows others to reproduce the models from scratch.

• UpdatedMar 9, 2022
• Python

An interface for managing SWATPlus input and output files to aid in implementing, and visualizing the impact of land use changes on catchment hydrology in the SWATPlus model

• UpdatedNov 16, 2022
• JavaScript

TimeGANs for synthetic data generation in cyber-physical systems using Tensorflow

• UpdatedDec 9, 2022
• Jupyter Notebook

R scripts for the SWAT model calibration/sensitivity/uncertainty analysis

• UpdatedFeb 25, 2022
• R

SWAT+ model input data preparation helper

• UpdatedApr 13, 2023
• R

Oxidized Rust (Idiomatic Rust)

• UpdatedOct 17, 2017
• Rascal

An approach for anomaly detection in Industrial Control Systems (ICS), using Water Treatment Dataset (SWaT). The implementation incorporates cutting-edge machine learning techniques, including Isolation Forest and Autoencoder models, augmented by Dynamic Time Warping (DTW) algorithm.

• UpdatedFeb 5, 2024
• Jupyter Notebook

New modules developed for Soil and Water Assessment Tool (SWAT) revision 664

• UpdatedOct 26, 2017
• Fortran

Scripts used to process data and namelist used in Chawanda et al. (2019)

• UpdatedJul 17, 2022
• Python

Сайты\тг боты для пробива номера телефона

• UpdatedMay 22, 2025

Comparative Analysis of Unsupervised Learning Methods for Real-time Anomaly Detection in Industrial Control Systems (ICS)

• UpdatedDec 19, 2023
• Jupyter Notebook

Canadian Great Lakes Weather Data Service for SWAT (Can-GLWS)

• UpdatedNov 6, 2020
• R

A6-MITM is a program which mutates packets using ENIP (Ethernet/IP) and CIP (Common Industrial Protocol) protocols.

• UpdatedJun 17, 2022
• Python