Optuna
by Preferred Networks · open-source · Last verified 2026-03-27
Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning. It features an imperative, define-by-run style user API, making it flexible and easy to integrate with various ML frameworks.
A
A—Great
Adoption: AQuality: AFreshness: A+Citations: B+Engagement: A
Specifications
- License
- MIT
- Pricing
- open-source
- Capabilities
- hyperparameter-search, pruning, visualization, distributed-optimization
- Integrations
- pytorch, tensorflow, scikit-learn, xgboost, lightgbm
- Use Cases
- model-tuning, neural-architecture-search, experiment-management
- API Available
- Yes
- Tags
- hyperparameter-optimization, automl, tuning, optimization
- Added
- 2026-03-27
- Completeness
- 100%
Index Score
82.3Adoption
85
Quality
88
Freshness
92
Citations
75
Engagement
80
Fetch via API
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curl -X GET "https://aaas.blog/api/entity/framework/optuna" \
-H "x-api-key: aaas_your_key_here"Need an API key? Register free at /developer · Free tier: 1,000 req/day
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