A distributed hydrology-guided neural network model for streamflow prediction

Open-source Python toolkit for water data, hydrology, and agricultural water management — 15 unified collectors (USGS, FAO, GEMStat, EU WFD…), Bulletin 17C flood frequency, FAO-56 ET₀, and an AI methodology recommender.

Pre-delineated MERIT-Hydro watershed boundaries for ~60,000 gauging stations across 16 countries. Zero-config — basins are fetched from a public CDN and cached locally.

Heatmaps of empirical and exceedance probability of many (time-)series.

sondera is a python package providing clients for accessing Swedish hydrology and meteorology related open data. Data sources currently include SMHI open data API and SGU groundwater API.

Home Assistant integration for real-time USGS stream gauge data (flow, gauge height, water temperature)

CLI-based workflow tool for NextGen Water Modeling Framework simulations

Streamflow time series forecasting with ARIMA, XGBoost, and Prophet comparison | Python

LSTM rainfall-runoff forecasting pipeline for streamflow prediction with reproducible metrics and plots.

A Python package to conveniently parse Canadian climate and streamflow data to pandas or xarray

LSTM-based deep learning model for river flood prediction using PyTorch | R2=0.899 | NSE=0.899

Lightweight Python scripts for comparing observed and modeled time series, computing standard performance metrics, and generating daily plots.

A lightweight Python toolkit for downloading, processing, and filtering USGS NWIS daily water data. Supports batch downloads, parameter code discovery, and tidy Pandas DataFrames.

HydroTransformer: A Transformer Framework for Generalizable Streamflow Modeling Across Space and Time

Predicting Streamflow in CAMELS Catchments Using LSTM and Transformers

LSTM-GNN routing model for learning streamflow from gridded hydroclimate inputs and Ngen river-network topology.