Dakota vs FEniTop

Dakota provides software for optimization and uncertainty quantification using computational models. Its methods cover optimization, uncertainty quantification, parameter estimation, and sensitivity or variance analysis. These capabilities can be combined into strategies such as hybrid optimization, surrogate-based optimization and optimization under uncertainty. The C++ toolkit connects simulation codes with iterative systems-analysis methods, and Dakota lists MPI for parallel distributed-memory communication. The project describes engineering analysts using it to explore designs and assess confidence in computational predictions. Prebuilt binaries are available for macOS, Windows and Red Hat Enterprise Linux 7 and 8; other platforms require building from source. Installation instructions also describe an optional PYTHONPATH setup for the dakota.interfacing Python module. Dakota versions 5.0 and newer are available under the GNU Lesser General Public License. Some optional numerical libraries, including DOT, NLPQLP and NPSOL/NLSSOL, require separate commercial licenses. Documentation for releases 6.17 and later is available through the documentation site, with older manuals available for download. User support is directed to GitHub Discussions, and the project offers introductory and methods-focused screencasts.

FEniTop is free, open-source software for topology optimization based on FEniCSx. It handles two- and three-dimensional problems on structured or unstructured meshes, with varied element geometries, types, orders, and quadrature degrees. Users express partial differential equations in weak form, while automatic differentiation supports finite-element and sensitivity analysis. PETSc through petsc4py provides linear and nonlinear solvers and preconditioners. Parallel implementations of Optimality Criteria and Method of Moving Asymptotes update design variables. A Helmholtz-type PDE filter targets large-scale parallel problems, including large filter radii. FEniTop can run from laptops to distributed computing clusters. Optimized designs export as XDMF files for ParaView post-processing. Repository examples cover beams in 2D and 3D, a 2D disk, a 3D shell, and a 2D compliant mechanism. The software is licensed under GPL-3.0. Setup instructions specify FEniCSx 0.7.3, PyVista, and Xvfb; Windows 11 instructions use Ubuntu under WSL and Docker Desktop.