Real-time dashboard for Optuna. Code files were originally taken from Goptuna.

You can install optuna-dashboard via PyPI or Anaconda Cloud.

$ pip install optuna-dashboard

First, please specify the storage URL to persistent your study using the RDB backend.

import optuna

def objective(trial):
    x = trial.suggest_float("x", -100, 100)
    y = trial.suggest_categorical("y", [-1, 0, 1])
    return x**2 + y

if __name__ == "__main__":
    study = optuna.create_study(
        storage="sqlite:///db.sqlite3",  # Specify the storage URL here.
        study_name="quadratic-simple"
    )
    study.optimize(objective, n_trials=100)
    print(f"Best value: {study.best_value} (params: {study.best_params})")

After running the above script, please execute the optuna-dashboard command with Optuna storage URL.

$ optuna-dashboard sqlite:///db.sqlite3
Listening on http://localhost:8080/
Hit Ctrl-C to quit.

Please check out our documentation for more details.

You can also use an official Docker image instead of setting up your Python environment. The Docker image only supports SQLite3, MySQL(PyMySQL), and PostgreSQL(Psycopg2).

$ docker run -it --rm -p 8080:8080 -v `pwd`:/app -w /app \
> ghcr.io/optuna/optuna-dashboard sqlite:///db.sqlite3

$ docker run -it --rm -p 8080:8080 ghcr.io/optuna/optuna-dashboard mysql+pymysql://username:password@hostname:3306/dbname

$ docker run -it --rm -p 8080:8080 ghcr.io/optuna/optuna-dashboard postgresql+psycopg2://username:password@hostname:5432/dbname

You can install the Jupyter Lab extension via PyPI.

$ pip install jupyterlab jupyterlab-optuna

To use, click the tile to launch the extension, and enter your Optuna’s storage URL (e.g. sqlite:///db.sqlite3) in the dialog.

We’ve developed the version that operates solely within your web browser, which internally uses SQLite3 Wasm and Rust. There’s no need to install Python or any other dependencies. Simply open the following URL in your browser, drag and drop your SQLite3 file onto the page, and you’re ready to view your Optuna studies!

https://optuna.github.io/optuna-dashboard/

Please note that only a subset of features is available. However, you can still check the optimization history, hyperparameter importances, and etc. in graphs and tables.

You can install the VS Code extension via Visual Studio Marketplace, or install the code-server extension via Open VSX.

Please right-click the SQLite3 files (*.db or *.sqlite3) in the VS Code file explorer and select the "Open in Optuna Dashboard" command from the dropdown menu. This extension leverages the browser-only version of Optuna Dashboard, so the same limitations apply.

Please note that we have confirmed the behavior of the code-server extension can be unstable. When opening SQLite files, the dashboard may not appear on the first attempt, but it should be displayed upon a second try.

If you want to contribute, please check Developers Guide.