Analyze Your GitHub Repository with Rill

Analyzing the history of a codebase can provide valuable insights into metrics such as code quality, complexity, and productivity, which are essential for engineering teams. A Rill project has been developed to facilitate this analysis by creating live, interactive dashboards from GitHub repositories, exemplified through DuckDB's repository. The dashboard showcases engineering productivity trends, code churn, and code complexity over time. For instance, a decrease in code commits in June can be observed alongside metrics like code churn, which highlights files frequently involved in commits, indicating areas of potential technical debt. Additionally, the "Code deletion %" metric distinguishes between maintenance and new feature development. Code complexity is assessed by examining the number of files touched per commit, with high numbers potentially indicating less encapsulated, more error-prone code. Rill's dashboard is continuously updated and allows users to explore their own repositories by setting it up with a step-by-step guide provided in the README. Users are encouraged to contribute their ideas for improving the dashboard and can engage with the Rill community for support.