Growth Book has released an updated version of its open-source A/B testing platform, introducing key features such as support for PrestoDB and TrinoDB as data sources, along with an enhanced user interface for displaying Bayesian risk metrics, which help assess the impact of choosing a variation under worst-case scenarios. The update also includes improvements in metric management by allowing users to tag and group metrics for easier organization and application in experiments, as well as the addition of guardrail metrics to monitor critical factors like page load time and error rates. Other improvements address logging, error messages, and bug fixes, including customization options for Snowflake roles and adjustments in SQL query handling. The team behind Growth Book encourages user feedback through multiple communication channels.