OPTIMEO is an open-source tool that provides Bayesian optimization capabilities for process tuning, modeling, and orchestration. It is designed for data scientists and researchers who need to automate and optimize experimental workflows. The tool can be used via a web interface or command line and is distributed under the MIT License.
OPTIMEO sits in PulseGate's Optimisation & solvers category. It focuses on automating and optimizing process tuning and modeling using Bayesian optimization techniques. It is built as an open-source project for data scientists. The project is open source (MIT). OPTIMEO is available on the command line and the web, and it can be self-hosted.
Behind OPTIMEO is Colin Bousige, and it first shipped in 2024. Development happens publicly on GitHub with 36 commits in the last 90 days. Key capabilities include bayesian optimization, process modeling, and experiment orchestration.
Summary written by a language model from the project’s public pages.
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