SynxFlow

What the maker publishes

Cloud use

The FAQ says SynxFlow is compatible with Google Colab for running a flood simulation in the cloud. source

Cloud use

The FAQ says SynxFlow is compatible with Google Colab for running simulations in the cloud. source

Data tools

The documentation names NumPy, Pandas, and GDAL as tools SynxFlow integrates with for data processing and visualization. source

Flood solver

The flood tutorial demonstrates configuring rainfall, land cover, boundary conditions, gauges, and simulation runtime. source

Free plan

Yes source

GPU requirement

Running simulations requires an NVIDIA GPU that supports CUDA and the CUDA Toolkit. source

GPU support

SynxFlow requires an NVIDIA GPU that supports CUDA and the CUDA Toolkit to run simulations. source

Hazard modeling

SynxFlow is an open-source model for dynamically simulating flood inundation, landslide runout, and debris flows with CUDA-enabled GPUs. source

Input formats

The quickstart lists DEM input in compressed, ArcGIS ASCII, or GeoTIFF formats, with rainfall mask, rainfall time series, and landcover inputs described as optional. source

Install platforms

The binary wheel instructions cover Windows 10 or later and Linux, with Python 3.9, 3.10, or 3.11 and CUDA 11.3 or newer. source

Integrations

The documentation names NumPy, Pandas, and GDAL as tools that SynxFlow integrates with for data processing and visualization. source

Intended users

The about page describes the model as supporting natural-hazard risk assessment in research and business applications. source

Intended users

The project describes its applications as natural hazard risk assessment for research and business, and the repository also mentions research and industrial applications. source

License

The project's GitHub repository identifies its license as GPL-3.0. source

Linux requirements

Binary wheel installation is documented for Linux with Python 3.9, 3.10, or 3.11 and CUDA 11.3 or newer; source installation is documented as tested only on Linux. source

Linux source install

Building from source is documented for Linux and requires CMake, the NVIDIA CUDA Toolkit, and a C++ compiler. source

Multiple GPUs

The flood tutorial says the flood solver supports multiple GPUs. source

Output visualization

The flood tutorial demonstrates plotting simulation outputs and describes built-in raster visualization functions. source

Purpose

SynxFlow is an open-source model for dynamically simulating flood inundation, landslide runout, and debris flows using CUDA-enabled GPUs. source

Python interface

The model provides a Python interface for preparing inputs, running simulations, and visualizing outputs. source

Python interface

The model provides a Python interface for preparing inputs, running simulations, and visualizing outputs. source

Scientific methods

The FAQ describes Godunov-type shock-capturing methods for shallow-water-based equations and links to research papers for the model methods. source

Scientific methods

The FAQ says the model uses Godunov-type shock-capturing methods to solve shallow-water-based equations and links to papers documenting its numerical methods. source

Simulation scope

The official repository says SynxFlow can use multiple CUDA-enabled GPUs for flood, landslide runout, and debris flow simulations. source

Checked against the maker's pages on 12 Oct 2026.