ropt-dakota
A Dakota optimizer plugin for ropt
Decision gist · record as of 2026-08-14
Yes, if you already use ropt and need Dakota's algorithms. The package is actively maintained, has no known vulnerabilities, and installs cleanly. The copyleft license (GPLv3) is a consideration for proprietary projects. Its niche audience reflects the specialized nature of robust optimization rather than any quality concern.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.11 or later; Dakota optimizer must be available in the environment (typically via carolina dependency).
- Low friction install with a pure-Python wheel.
- Actively maintained as of 2026-08-13 with recent releases.
License · maintenance · safety
copyleft license (copyleft) — Released under GPLv3 (copyleft). Users must comply with copyleft obligations if they distribute derivative works or link this into proprietary software.
last release 2026-07-07 (38 days) · last repo commit 2026-08-13 · 1 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 95,338 downloads/mo, #13,269 on PyPI
Alternatives
Verify before relying
pip install ropt-dakota
from ropt import Optimizer
from ropt_dakota import DakotaPlugin
optimizer = Optimizer(plugin=DakotaPlugin())- Whether Dakota itself must be separately installed or is bundled via carolina
- Performance characteristics and scalability limits for typical optimization problems
- Specific algorithm coverage compared to direct Dakota use
What it is and what it does
ropt-dakota is a plugin that bridges the ropt robust optimization framework with Dakota, an open-source optimization package from Sandia. It lets you use Dakota's algorithms—gradient-based, derivative-free, and stochastic methods—within ropt's workflow and API. The plugin is maintained by TNO (Netherlands Organisation for Applied Scientific Research) and depends on numpy for numerical work and carolina as a Python wrapper around Dakota.
The package is designed for scientific and engineering optimization tasks where you want to leverage Dakota's solver suite without reimplementing ropt's robust optimization logic. It supports Python 3.11 through 3.14 and installs as a pure Python wheel with minimal friction.
Use it for
- Run Dakota optimization algorithms within ropt's robust optimization framework for parameter estimation.
- Access Dakota's derivative-free solvers for black-box optimization problems where gradients are unavailable.
- Combine Dakota's stochastic methods with ropt's uncertainty quantification for robust design optimization.
- Integrate Dakota algorithms into existing ropt-based workflows without rewriting solver interfaces.
- Benchmark Dakota solvers against other ropt plugins on the same optimization problem.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you already use ropt and need Dakota's algorithms.
The package is actively maintained, has no known vulnerabilities, and installs cleanly. The copyleft license (GPLv3) is a consideration for proprietary projects. Its niche audience reflects the specialized nature of robust optimization rather than any quality concern.
Install
ropt-dakota on PyPI
Before you install
Low friction install with a pure-Python wheel. Actively maintained as of 2026-08-13 with recent releases. Requires Python 3.11 or later and depends on numpy and carolina.
Requires Python 3.11 or later; Dakota optimizer must be available in the environment (typically via carolina dependency).
License in practice
Released under GPLv3 (copyleft). Users must comply with copyleft obligations if they distribute derivative works or link this into proprietary software.
Quickstart
pip install ropt-dakota
from ropt import Optimizer
from ropt_dakota import DakotaPlugin
optimizer = Optimizer(plugin=DakotaPlugin())Verify before relying
- Whether Dakota itself must be separately installed or is bundled via carolina
- Performance characteristics and scalability limits for typical optimization problems
- Specific algorithm coverage compared to direct Dakota use
Package facts
| License | copyleft license copyleft |
| Python support | Supports the current Python release >=3.11 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesnumpycarolina |
| Maintenance | Actively maintained 38 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 95,338 / month, #13,269 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaLicense :: OSI Approved :: GNU General Public License v3 (GPLv3)Natural Language :: EnglishProgramming Language :: PythonProgramming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Scientific/Engineering |
Evidence: ropt_dakota-0.28.0-py3-none-any.whl
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