Ansys optiSLang vs Dakota
Ansys optiSLang
ansys.comDakota
dakota.sandia.govSide by side
| Figure | Ansys optiSLang | Dakota |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 5 | 1 |
| Spec score · Generative Design Software | 8.1 (#3) | 7.9 (#7) |
| Operating systems | optiSLang and its extensions can be installed on Windows and Linux systems. | Prebuilt binaries are available for macOS, Windows, and Red Hat Enterprise Linux 7 and 8; other platforms require building from source. |
| Purpose | Ansys optiSLang orchestrates and automates simulation toolchains and connects them to optimization algorithms for parametric design studies. | Dakota provides software for optimization and uncertainty quantification using computational models. |
Plans
Ansys optiSLang
- DesignXploration-BASEPriced on request
- oSL AI+Priced on request
- oSL EnterprisePriced on request
- oSL PremiumPriced on request
- oSL ProPriced on request
In their own words
Ansys optiSLang
Ansys optiSLang automates simulation workflows and connects them to optimization methods for parametric design studies. It coordinates processes between heterogeneous CAx tools across an enterprise. Its capabilities include design optimization, robustness and reliability analysis, reduced-order modeling, model calibration, design of experiments and sensitivity analysis. The open ecosystem connects with more than 100 third-party CAE/CAD applications and in-house solutions through Ansys nodes, scripting, text interfaces or custom integrations. It integrates with Ansys Minerva for workflow publishing and simulation process and data management. The optiSLang AI+ add-on provides machine-learning methods for sensitivity analysis, optimization and robust design. Windows and Linux installations are supported, alongside web and self-hosted platforms. The 2026 R1 release expands Python controls and support for cloud and HPC deployment workflows, and adds or enhances connections for Rocky, FreeFlow, LS-OPT and Ansys SimAI. Pricing is available on request and a 30-day trial is listed. An enterprise license is required to build apps and conduct a much higher number of concurrent variations.
Dakota
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.