Productivity in software development is a complex, multi-faceted concept expressed as a combination of effectiveness and efficiency. From a quantitative lens, productivity is often interpreted from a collection of activities and metrics such as the number of commits, lines of code added and removed, and the number of issues closed. Software development team managers often seek to track developers’ activity and productivity for short-term planning and medium-term team performance measurement. Existing tools and platforms analyze and visualize individual aspects of developers’ activity, productivity, or quality. However, a tool that fuses multiple information streams representing productivity and quality aspects is missing. The proposed tool QConnect fills the gap by mining, analyzing, and fusing information from software development-relevant streams. QConnect, on the one hand, mines the repository and issue tracking metadata from GitHub and Jira issue tracking system; on the other hand, it gathers information related to code quality using external tools Designite and RefactoringMiner. By tying-in productivity measures with code quality information, stakeholders can assess not only how fast but also how well the project is progressing. Website: https://qconnect.dev Demo video: https://youtu.be/MFqYVQnWxgQ