Caravan
Open Source
The open global large-sample hydrology dataset — thousands of catchments with forcing, attributes and streamflow.
StormHub
ActiveDewberry's open tool for building STAC catalogs of storms and gauge data — inputs for stochastic storm transposition.
by Dewberry
- Pricing
- Open Source
- License
- MIT
- Commercial use
- Permitted
- Ecosystem
- Python, STAC, HEC-HMS
- Platform
- Windows, macOS, Linux
Install
pip install stormhubAbout StormHub
StormHub, from Dewberry, automates the data-wrangling behind probabilistic flood modelling: it harvests hydrometeorological archives (gridded precipitation, USGS gauge records), identifies and characterises storm events, and publishes the results as STAC catalogs — the FAIR-compliant metadata standard — ready to feed stochastic storm transposition workflows and HEC-HMS simulations.
It sits in the same modern-flood-risk toolchain as FEMA's Future of Flood Risk Data work (alongside rashdf): open, scriptable, catalog-first infrastructure for running hydrology as ensembles rather than single design events. Young but actively developed and pip-installable.
Where it fits in the workflow
TerrainCatchmentRainfallRunoffRoutingHydraulicsMappingReporting
Alternatives to StormHub
Ranked by the topics, categories and workflow stages they share with StormHub.
Delta Hydro Studio
FreemiumVerified
Browser-based hydrology and hydraulics calculators for practising engineers — no install, report-ready output.
HyRiver
Open Source
A Python software stack for US hydrology data: NHD+ networks, gauges, DEMs, soils and climate via one API family.
NEOPRENE
Open Source
Neyman-Scott stochastic rainfall generation in Python — synthetic series and disaggregation, single or multi-site.
RainyDay
Open Source
Stochastic storm transposition in Python — probabilistic extreme rainfall scenarios from remote-sensing data.
NetSTORM
Free
CDM Smith's free rainfall statistics and STORM-method screening model — IDF analysis, disaggregation, CSO planning.