The software

r.slope.stability is open source, distributed under the GNU General Public License. It builds on GRASS GIS and the R Project for Statistical Computing. Learn more about the software requirements and download the latest releases of the r.slope.stability software and manuals.

Be aware that the application of computer models in the field of natural hazards is highly critical. First, all tools, data and manuals were prepared with utmost care and with the purpose to be useful - however, they may still contain errors of various types. Second, even the best models only produce a distorted and generalized view of reality. Their interpretation requires (i) extreme care, (ii) a detailed understanding of the model and (iii) complementary information such as measurements or observations. The unreflected communication of model results may lead to unwanted consequences. Whilst the r.slope.stability team is highly grateful for critics or suggestions, we clearly refuse any responsibility for any adverse consequences emanating from the use of any of the versions of the model provided below.

Please consult the manual of r.slope.stability provided along with the code and the relevant publications before starting to use the tool. If you encounter issues not covered by the manual, you are highly welcome to join the forum on r.slope.stability at

Note that the efficient use of r.slope.stability requires some computational skills. If necessary, please acquire the relevant knowledge on Linux, GRASS GIS, and GIS in general before starting to work with r.slope.stability or posting in the forum.

Download links
25 May 2017
Bug with regard to memory allocation fixed.
Source code
12 May 2017
Bug with regard to ellipsoid dimensions fixed.
Source code
7 April 2017
New option to explicitly provide the depth of the groundwater table.
Source code
6 April 2017
Compatibility with GRASS7, various bugs fixed.
Source code
20 May 2014
Initial version of r.slope.stability running on GRASS6. Factor of safety and slope failure probability for large areas, based on ellipsoid-shaped, truncated, or planar slip surfaces.
Source code