The main development is currently performed in volesti, a generic open source C++ library, with R and Python interfaces. volesti implements various algorithms for highdimensional sampling and volume approximation as well as functions for copula estimation in financial modelling and metabolic network analysis.
Source code  R package  Documentation  Tutorials  Contributing 
Who is using our software ?

A. Venzke, D.K. Molzahn, S. Chatzivasileiadis  Efficient creation of datasets for datadriven power system applications, Electric Power Systems Research, Volume 190, 2021. WWW

P.Z.D. Martires, Samuel Kolb  Monte Carlo AntiDifferentiation for Approximate Weighted Model Integration, 2020. WWW

C. Maria, O. RouillĂ©  Computation of Large Asymptotics of 3Manifold Quantum Invariants, 2020. WWW
Google Summer of Code
GeomScale was accepted and participated in Google Summer of Code 2020 as a mentoring organization. The following projects was succesfully completed:
 A comparative study of uniform high dimensional samplers.
 Optimization and Sum of Squares.
 Sampling from HighDimensional logconcave densities.
Members of GeomScale has succesfully participated in GSoC in the past with the Rproject for statistical computing.