Open Source Data, Monitoring & Forecasting tools

The open global large-sample hydrology dataset — thousands of catchments with forcing, attributes and streamflow.

A Python software stack for US hydrology data: NHD+ networks, gauges, DEMs, soils and climate via one API family.

An open-source take on Google Flood Hub — per-gauge neural network streamflow forecasting you can self-host.

Dewberry's open tool for building STAC catalogs of storms and gauge data — inputs for stochastic storm transposition.

The USGS R package for pulling NWIS and Water Quality Portal data — gauge records as tidy data frames.

Canadian government R package for streamflow analysis — trends, frequencies and summaries from HYDAT.

R workhorse for hydrological time series — aggregation, summaries and hydrologically-aware plots in a few calls.

A friendly Python client for USGS NWIS streamflow data — request, cache and plot gauge records in a notebook.

R client for the UK National River Flow Archive — catalogue, gauged daily flows and catchment metadata.

The open library for weather-radar rainfall processing — from raw volumes to engineering-ready rainfall fields.