Verified project record

optuna/optuna

optuna is a framework that automates and accelerates hyperparameter optimization for machine learning models. It provides an imperative, define-by-run API that enables high modularity and dynamic construction of hyperparameter search spaces.

Project overview

optuna distinguishes itself through its define-by-run style API, allowing practitioners to construct hyperparameter search spaces dynamically with standard Python syntax.

Project type: Model Development · Infrastructure
Deployment: Refer to project documentation
License: MIT

Best for

AI engineers and developers seeking to automate and accelerate hyperparameter optimization for machine learning models.

Key capabilities

Enables users to dynamically construct hyperparameter search spaces using familiar Python syntax including conditionals and loops.
Adopts state-of-the-art algorithms for sampling hyperparameters and efficiently pruning unpromising trials.
Allows scaling studies to tens or hundreds of workers with little or no changes to the code.
Provides a variety of plotting functions to inspect optimization histories.
Allows checking optimization history, hyperparameter importance, etc. in graphs and tables without creating a Python script.
Provides a platform to use registered features and publish user packages.

Limitations and risks

Using optuna requires coding knowledge, as users interact with the framework programmatically as a library.

Getting started

Install optuna easily using pip or conda with a simple command, such as running 'pip install optuna'.

Evidence and sources

GitHub project description: A hyperparameter optimization framework
README: *Optuna* is an automatic hyperparameter optimization software framework, particularly designed for machine learning. It features an imperative, *define-by-run* style user API.
README: **Jun 1, 2026**: Optuna 4.9.0 is out!
README: The goal of a *study* is to find out the optimal set of hyperparameter values (e.g., `regressor` and `svr_c`) through multiple *trials* (e.g., `n_trials=100`). Optuna is a framewo…
README: Optuna has modern functionalities as follows: - [Lightweight, versatile, and platform agnostic architecture](https://optuna.readthedocs.io/en/stable/tutorial/10_key_features/001_f…

Reviewed at: 2026-07-17T22:47:16Z