{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/7"}],"enrichment":{"capability":"Provides a real-time web dashboard for visualizing and monitoring Optuna hyperparameter optimization studies stored in a database backend.","skillfed_tags":["hyperparameter-optimization","visualization","web-dashboard"],"use_cases":["Monitor hyperparameter optimization progress in real-time while an Optuna study is running on a remote machine","Inspect trial history, best parameters, and convergence plots after completing a hyperparameter search","Share optimization results with team members via a web interface without requiring Python or Optuna knowledge","Analyze parameter importance and trial distributions to understand which hyperparameters most affect model performance","Embed optimization dashboards in Jupyter notebooks or VS Code for integrated development workflows"],"what_it_does":"optuna-dashboard is a web-based visualization tool for Optuna hyperparameter optimization studies. It connects to an existing Optuna study stored in a database backend (SQLite, MySQL, or PostgreSQL) and presents the optimization history, trial results, and parameter importances through an interactive browser interface. The package runs as a lightweight web server that listens on localhost:8080 by default.\n\nThe dashboard is designed as a companion to Optuna itself\u2014you run your optimization study separately using Optuna's API with a persistent RDB backend, then launch the dashboard to inspect results. It depends on bottle for the web framework, optuna for study access, and tomli for configuration parsing. The package is in Alpha status but actively maintained, with support for Python 3.8 through 3.13.","worth_installing":"Yes, if you use Optuna for hyperparameter tuning and want a user-friendly way to inspect results. Installation is straightforward, maintenance is active, and there are no known security issues. The Alpha status reflects ongoing development but not instability\u2014the package is widely used and suitable for production study visualization."},"id":"optuna-dashboard","links":{"html":"https://skillfed.io/packages/optuna-dashboard","md":"https://skillfed.io/packages/optuna-dashboard.md","pypi":"https://pypi.org/project/optuna-dashboard/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2025-11-10","license_spdx":null,"license_treatment":"permissive","name":"optuna-dashboard","python_support":"supports_current","summary":"Real-time dashboard for Optuna"},"popularity":{"monthly_downloads":231639,"position":9082,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.20.0"}