## Opti
[](https://github.com/basf/mopti/actions)
[](https://basf.github.io/mopti/)
[](https://pypi.org/project/mopti)
Opti is a Python package for specifying problems in a number of closely related fields, including experimental design, multiobjective optimization, decision making and Bayesian optimization.
**Docs**: https://basf.github.io/mopti/ <br/>
**Code**: https://github.com/basf/mopti
### Why opti?
Opti ...
* supports mixed continuous, discrete and categorical parameter spaces for system inputs and outputs,
* separates objectives (minimize, maximize, close-to-target) from the outputs on which they operate,
* supports different specific and generic constraints as well as black-box output constraints,
* provides sampling methods for constrained mixed variable spaces,
* json-serializes problems for use in RESTful APIs and json/bson DBs, and
* provides a range of benchmark problems for (multi-objective) optimization and Bayesian optimization.
**Note:** We are developing a successor of opti called [BoFire](https://github.com/experimental-design/bofire).
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