Which feature helps manage libraries and dependencies in Databricks?

The feature that helps manage libraries and dependencies in Databricks is Libraries and Environment Management. This functionality allows users to install, manage, and configure libraries that are essential for their notebooks and jobs. Proper library management ensures that the correct versions of dependencies are used, preventing compatibility issues and errors during execution. With this feature, users can easily add libraries from various sources, including Maven, PyPI, and CRAN, thereby enhancing the capabilities of their Databricks environment.

This option encompasses not just the installation but also the overview of the current libraries in use, allowing users to maintain their environments consistently. By optimizing library and environment management, users can streamline their workflows and improve the reproducibility of their analyses.