The recent release of GrowthBook version 0.5.0 introduces several new features aimed at enhancing data transparency and customization. Users can now export experiment results as Jupyter notebooks, allowing deeper analysis by data teams, with the process reflecting GrowthBook's commitment to transparency by revealing the raw queries and analysis steps. The update also includes customizable per-metric data quality thresholds, enabling users to set parameters for conversion counts and flagging suspicious results based on percentage changes. Additionally, the SDK Dev Mode has been expanded to work in both JavaScript and React environments, facilitating easier testing of experiments by allowing developers to switch between variations on staging builds and development machines. Other improvements include the ability to import running experiments from data sources, a more detailed view of query results, and the availability of the GrowthBook stats engine as a standalone Python package, alongside enhanced documentation and a series of bug fixes addressing issues with forms, emails, and rendering modals.