Delta Hydro Studio
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Browser-based hydrology and hydraulics calculators for practising engineers — no install, report-ready output.
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pystorms
StableBenchmark scenarios for smart-stormwater control — test real-time control algorithms on curated SWMM systems.
- Pricing
- Open Source
- License
- GPL-3.0
- Commercial use
- Permitted
- Ecosystem
- Python, SWMM
- Platform
- Windows, macOS, Linux
Install
pip install pystormsAbout pystorms
pystorms, from the open-storm group (University of Michigan and collaborators), packages curated stormwater networks and storm events into gym-style benchmark scenarios for real-time control research: your algorithm reads states and sets valve/gate actions through a clean Python interface while SWMM runs underneath.
If you are exploring smart stormwater — rule-based, MPC or reinforcement-learning control of distributed storage — pystorms is the fastest way to test ideas against community benchmarks instead of a one-off model, and to compare published results fairly.
Where it fits in the workflow
TerrainCatchmentRainfallRunoffRoutingHydraulicsMappingReporting
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