by rentruewang · Agent Tool · ★ 289
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Bayesian Optimization as a Coverage Tool for Evaluating LLMs. Accurate evaluation (benchmarking) that's 10 times faster with just a few lines of modular code.
| Stars | 289 |
| Forks | 16 |
| Language | Python |
| Category | Agent Tool |
| License | BSD-3-Clause |
| Quality Score | 41.75/100 |
| Open Issues | 6 |
| Last Updated | 2026-03-18 |
| Created | 2023-12-16 |
| Platforms | python |
| Est. Tokens | ~480k |
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bocoel is Bayesian Optimization as a Coverage Tool for Evaluating LLMs. Accurate evaluation (benchmarking) that's 10 times faster with just a few lines of modular code.. It is categorized as a Agent Tool with 289 GitHub stars.
bocoel is primarily written in Python. It covers topics such as bayesian-optimization, benchmarking, evaluation.
You can find installation instructions and usage details in the bocoel GitHub repository at github.com/rentruewang/bocoel. The project has 289 stars and 16 forks, indicating an active community.
bocoel is released under the BSD-3-Clause license, making it free to use and modify according to the license terms.
The top alternatives to bocoel on Agent Skills Hub include Awesome-LLM-Eval, create-llm, Hegelion. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.