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arXiv · 2510.02798

OptunaHub: A Platform for Black-Box Optimization

Yoshihiko Ozaki·Shuhei Watanabe·Toshihiko Yanase
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Abstract

Black-box optimization (BBO) underpins advances in domains such as AutoML and Materials Informatics, yet implementations of algorithms and benchmarks remain fragmented across research communities. We introduce OptunaHub (https://hub.optuna.org/), a community-oriented, decentralized platform for distributing BBO components under a unified Optuna-compatible interface. OptunaHub enables independent publication, discovery, and reuse of optimization algorithms and benchmark problems through a lightweight Python module, a contributor-driven registry, and a searchable web interface. The source code is publicly available in the \href{https://github.com/optuna/optunahub}{\texttt{optunahub}}, \href{https://github.com/optuna/optunahub-registry}{\texttt{optunahub-registry}}, and \href{https://github.com/optuna/optunahub-web}{\texttt{optunahub-web}} repositories under the Optuna organization on GitHub (https://github.com/optuna/).

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Yoshihiko Ozaki, Shuhei Watanabe, Toshihiko Yanase. 2025-10-03. OptunaHub: A Platform for Black-Box Optimization. https://arxiv.org/abs/2510.02798

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