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shalstab-python

A comprehensive Python package implementing the SHALSTAB (Shallow Landsliding STABility) model for slope stability analysis. This tool evaluates infinite slope stability by integrating topographic analysis, hydrologic modelling, and geotechnical parameters to assess landslide susceptibility or hazard in a physically-based framework.

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What's in it

Data offered docs-verified
infinite slope Factor of Safety (FS) · 4-class slope stability classification · critical rainfall · steady-state saturation and critical recharge threshold log10(q/T) · soil thickness estimation (Catani et al. 2010) · D8 flow direction and accumulation · relative failure probability
Formats docs-verified
GeoTIFF (export) · GeoJSON (geology input) · Shapefile (geology input) · MCP stdio
Access docs-verified
Free, open source under GPL-3.0; no authentication documented (ENTRY auth is null); local install via pip

Useful for

Use cases llm-inferred
Regional landslide susceptibility screening of a linear infrastructure corridor from a DEM and geology layer · Critical rainfall estimation for slope hazard zoning · Comparative stability assessment of natural slopes under dry versus fully saturated conditions · Risk prioritisation of shallow-landslide-prone slopes across a study area
Audience llm-inferred
geotechnical engineers · engineering geologists · civils engineers · hydrologists · GIS analysts

Limitations

Constraints docs-verified
Not suitable for deep-seated landslides · Cannot predict exact timing of failure · Requires high-quality input data · Probability output is relative, not absolute · MCP support is in the development branch (v1.1.0.dev0) and needs pip install -e ".[mcp]" for local development · MCP features require Python >= 3.10 · Only standard I/O (stdio) transport is documented
Licence
GPL-3.0
Authentication
Unknown — review source docs
GitHub stars
5
Last commit
13/10/2026
Last successful page check
14/10/2026
Page health
healthy
Package
pypi:shalstab
Verification
Not independently verified

Auto-extracted, unverified fields: tools, install, auth. Check upstream documentation.

Provenance & evidence

Daily discovery 2026-10-15: GitHub search; verified via GitHub API. Tools/install/auth auto-extracted from README.

Metadata observed 14/10/2026 · daily-2026-10-15 (github-search)