--- title: "goptuna vs optuna" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/c-bata-goptuna-vs-optuna-optuna" tools: ["c-bata-goptuna", "optuna-optuna"] --- # goptuna vs optuna *GraphCanon updated Aug 4, 2026* ## Verdict Pick goptuna if goptuna is notable for its Go language compatibility and supports an array of optimization strategies such as bandit algorithms, Bayesian optimization, and evolution strategies; pick optuna if optuna automates hyperparameter tuning in Python, integrating seamlessly with major ML frameworks. [goptuna](https://pkg.go.dev/github.com/c-bata/goptuna) reports 279 GitHub stars, 26 forks, and 19 open issues, last pushed Aug 12, 2025. [optuna](https://optuna.org) has 15k stars, 1.4k forks, and 16 open issues, last pushed Aug 3, 2026. Figures are from public GitHub metadata via [goptuna's repository](https://github.com/c-bata/goptuna) and [optuna's repository](https://github.com/optuna/optuna). | | [goptuna](/tools/c-bata-goptuna.md) | [optuna](/tools/optuna-optuna.md) | | --- | --- | --- | | Tagline | A hyperparameter optimization framework inspired by Optuna. | A hyperparameter optimization framework | | Stars | 279 | 14,603 | | Forks | 26 | 1,361 | | Open issues | 19 | 16 | | Language | Go | Python | | Adopt for | Goptuna is notable for its Go language compatibility and supports an array of optimization strategies such as bandit algorithms, Bayesian optimization, and evolution strategies. | Optuna automates hyperparameter tuning in Python, integrating seamlessly with major ML frameworks. | | Persona | - | - | | Runtime | - | - | | License | MIT license, allowing free use and modification under the terms of the license. | MIT | | Categories | Model Training | Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [goptuna](/tools/c-bata-goptuna.md) | [optuna](/tools/optuna-optuna.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 356d | 1d | | Open issues (now) | 19 | 16 | | Owner type | User | Organization | | Full report | [trust report](/tools/c-bata-goptuna/trust.md) | [trust report](/tools/optuna-optuna/trust.md) | ## Decision facts: goptuna - **Pricing:** freemium - Freely available on GitHub with no associated financial costs due to its open-source nature. - **Requirements:** Min 1 GB RAM - **Adopt for:** Goptuna is notable for its Go language compatibility and supports an array of optimization strategies such as bandit algorithms, Bayesian optimization, and evolution strategies. - **License detail:** MIT license, allowing free use and modification under the terms of the license. ## Decision facts: optuna - **Adopt for:** Optuna automates hyperparameter tuning in Python, integrating seamlessly with major ML frameworks. ## Choose when ### Choose goptuna if… - goptuna is primarily Go; optuna is Python. - Pricing: Freely available on GitHub with no associated financial costs due to its open-source nature.. - Requirements: Min 1 GB RAM. - Tags unique to goptuna: bandit-algorithms, bayesian-optimization, blackbox-optimization, evolution-strategies. - When you prefer using the Go programming language and require a robust hyperparameter tuning solution that aligns with the performance characteristics of Go applications ### Choose optuna if… - optuna is primarily Python; goptuna is Go. - Tags unique to optuna: distributed, hyperparameter-optimization, machine-learning, parallel. - When you need to streamline the hyperparameter tuning process for machine learning models built in Python. ## When NOT to use goptuna - If your team lacks proficiency in the Go language, as leveraging Goptuna requires familiarity with Go for efficient code integration and maintenance - If you require a multi-language support feature widely available among other hyperparameter optimization frameworks, since Goptuna is strictly designed for use within projects using Go ## When NOT to use optuna - If your project is not compatible with Python, as Optuna does not support other languages directly out of box. - Projects requiring manual control over every aspect of hyperparameter tuning might find Optuna too automated for their needs. ## Common questions ### What is the difference between goptuna and optuna? goptuna: A hyperparameter optimization framework inspired by Optuna.. optuna: A hyperparameter optimization framework. See the comparison table for live GitHub stats and shared categories. ### When should I choose goptuna over optuna? Choose goptuna over optuna when goptuna is primarily Go; optuna is Python; Pricing: Freely available on GitHub with no associated financial costs due to its open-source nature.; Requirements: Min 1 GB RAM; Tags unique to goptuna: bandit-algorithms, bayesian-optimization, blackbox-optimization, evolution-strategies; When you prefer using the Go programming language and require a robust hyperparameter tuning solution that aligns with the performance characteristics of Go applications. ### When should I choose optuna over goptuna? Choose optuna over goptuna when optuna is primarily Python; goptuna is Go; Tags unique to optuna: distributed, hyperparameter-optimization, machine-learning, parallel; When you need to streamline the hyperparameter tuning process for machine learning models built in Python. ### When should I avoid goptuna? If your team lacks proficiency in the Go language, as leveraging Goptuna requires familiarity with Go for efficient code integration and maintenance If you require a multi-language support feature widely available among other hyperparameter optimization frameworks, since Goptuna is strictly designed for use within projects using Go ### When should I avoid optuna? If your project is not compatible with Python, as Optuna does not support other languages directly out of box. Projects requiring manual control over every aspect of hyperparameter tuning might find Optuna too automated for their needs. ### Is goptuna or optuna more popular on GitHub? optuna has more GitHub stars (14,603 vs 279). Stars measure visibility, not whether either tool fits your constraints. ### Are goptuna and optuna open source? Yes - both are open-source projects on GitHub (goptuna: MIT, optuna: MIT). ### Where can I find alternatives to goptuna or optuna? GraphCanon lists graph-backed alternatives at [goptuna alternatives](/tools/c-bata-goptuna/alternatives) and [optuna alternatives](/tools/optuna-optuna/alternatives) ([goptuna markdown twin](/tools/c-bata-goptuna/alternatives.md), [optuna markdown twin](/tools/optuna-optuna/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/c-bata-goptuna-vs-optuna-optuna.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, goptuna or optuna? goptuna: Slowing. optuna: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for goptuna and optuna? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [goptuna trust report](/tools/c-bata-goptuna/trust); [optuna trust report](/tools/optuna-optuna/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=c-bata-goptuna`](/api/graphcanon/graph?tool=c-bata-goptuna) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_