Worked on enhancing the silx-kit/silx repository by implementing dynamic Qt binding compatibility for Matplotlib integration. The approach involved replacing the previously hardcoded Qt5 binding with a dynamic mechanism, allowing the codebase to support multiple Qt versions seamlessly. This update, developed using Python and leveraging both Matplotlib and Qt, addressed environment-specific issues that previously affected users working across different Qt environments. By enabling dynamic binding, the work reduced maintenance overhead for contributors and simplified future updates. The focus on compatibility and maintainability improved the experience for downstream users, ensuring smoother integration and reducing friction when deploying silx in diverse setups.