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Optuna
productHyperparameter Optimization
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Overview
Developed byPreferred Networks
LicenseMIT License
Open source✓ Open Source
Primary languagePython
Use caseHyperparameter optimization
Also see
Alternative to
HyperoptScikit-optimize
Knowledge graph stats
Claims14
Avg confidence92%
Avg freshness99%
Last updatedUpdated 5 days ago
WikidataQ85767036
Trust distribution
100% unverified
Governance
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Optuna

product

Automatic hyperparameter optimization framework designed to be framework-agnostic and easy to use.

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open source

ValueTrustConfidenceFreshnessSources
true○UnverifiedHighFresh1

primary use case

ValueTrustConfidenceFreshnessSources
Hyperparameter optimization○UnverifiedHighFresh1

developed by

ValueTrustConfidenceFreshnessSources
Preferred Networks○UnverifiedHighFresh1

license type

ValueTrustConfidenceFreshnessSources
MIT License○UnverifiedHighFresh1

programming language

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Python○UnverifiedHighFresh1

integrates with

ValueTrustConfidenceFreshnessSources
PyTorch○UnverifiedHighFresh1
TensorFlow○UnverifiedHighFresh1
scikit-learn○UnverifiedHighFresh1
XGBoost○UnverifiedHighFresh1
LightGBM○UnverifiedHighFresh1

optimization algorithm

ValueTrustConfidenceFreshnessSources
Tree-structured Parzen Estimator○UnverifiedHighFresh1

supports feature

ValueTrustConfidenceFreshnessSources
Distributed optimization○UnverifiedModerateFresh1

alternative to

ValueTrustConfidenceFreshnessSources
Hyperopt○UnverifiedModerateFresh1
Scikit-optimize○UnverifiedModerateFresh1

Alternatives & Similar Tools

Hyperopt
alternative to
Compare →
Scikit-optimize
alternative to
Compare →

Commonly Used With

PyTorchTensorFlowscikit-learnXGBoostLightGBM

Related entities

Claim count: 14Last updated: 4/5/2026Edit history