HPOBench is a collection of benchmark problems for hyperparameter optimization.
Open source
24 alternativesGoptuna
Goptuna provides hyperparameter optimization tools in a framework inspired by Optuna.
About Goptuna
Goptuna is an open-source hyperparameter optimization framework written in pure Go, inspired by Optuna. It is primarily designed for machine learning use cases, but can optimize any user-defined objective function, such as server or caching system configuration parameters. It supports a range of optimization algorithms including TPE, CMA-ES and its variants, random search, median stopping, ASHA, and Sobol sequence quasi-monte carlo sampling. A built-in web dashboard is available for viewing optimization results when using supported relational database storage backends like SQLite3 or MySQL.
Key features
- Pure Go implementation for portability across Go projects
- Define-by-Run style API for dynamic search space construction
- Supports TPE, CMA-ES, random search, and other optimization algorithms
- Built-in web dashboard for viewing optimization results
- RDB storage backend support for scaling studies across multiple workers
- Median stopping and ASHA pruner support for efficient optimization
Best for: Go developers working on machine learning or configurable system projects who need to optimize hyperparameters or operational parameters.
Good for
- Pure Go implementation ensures portability across a wide variety of Go projects
- Supports multiple state-of-the-art optimization and pruning algorithms
- Built-in dashboard and RDB storage enable scaling studies across multiple workers and easy result review
Goptuna at a glance
- Website
- github.com/c-bata/goptuna
- Category
- AI & Machine Learning › AI Data & Analytics
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
Goptuna alternatives
Tools and sites you could use instead, ranked by how closely they match.
mljar-supervised provides tabular data AutoML with feature engineering, hyperparameter tuning, explanations, and documentation.
Open source
24 alternatives
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
Open source
24 alternatives
Adala automates data labeling through an autonomous agent framework for organizing labeled datasets.
Open source
24 alternatives
Cornac provides a framework for comparing multimodal recommender systems and recommendation algorithms.
Open source
24 alternatives
The LightGBM framework uses gradient boosting for ranking, classification, and other machine learning tasks.
Open source
24 alternativesPopular in AI Data & Analytics
Well-known listings from the same topic.
Dotgetdot.aiForvioforvio.comFluidAI Medicalfluidai.mdApache Zeppelinzeppelin.apache.orgSola Securitysola.securityQuadraticquadratichq.com
Goptuna FAQ
What programming language is Goptuna implemented in?
Goptuna is implemented in pure Go.
What storage backends are compatible with the built-in dashboard?
The built-in dashboard supports SQLite3 and MySQL storage backends.
What optimization algorithms does Goptuna support?
Goptuna supports random search, TPE, CMA-ES variants, median stopping, ASHA, and Sobol sequence quasi-monte carlo sampling.
Is something wrong or out of date?
Tell us and an editor will check it.
Own this website?
Claim this listing
Claim the listing and suggest updates yourself. An editor checks every claim first.