PlotPy V2 distinguishes itself in the realm of plotting libraries. Designed for Python/Qt applications, this library offers a blend of superior performance and enhanced interactive features. Its image display features, driven by a C++ transform engine, include real-time high-quality interpolation, LUT, and geometric transformations, elevating data interaction. PlotPy is part of the PlotPyStack project (<https://github.com/PlotPyStack>), dedicated to delivering a comprehensive toolkit for crafting scientific and technical data visualization applications. The development efforts for PlotPy V2 were financed by the CEA (< https://www.cea.fr/>). What's New in PlotPy V2 🌟: 🔍 Major Updates: Refined and unified API for curve and image plotting features (widget, dialog, window). Introduction of a new window for synchronized multi-plot displays 🔄. 🎨 Enhancements: Expanded Image Lookup Table functionalities. Integration of SVG-based shapes. 📖 Documentation: Comprehensive Sphinx-based documentation enriched with API links, examples, and tutorials. ⚙️ Development Features: Black code formatting, robust `pytest`-based automated test suite, and a 70% test coverage milestone ✅. We invite the community to explore PlotPy V2's capabilities. Explore PlotPy V2 on PyPI: <https://pypi.org/project/PlotPy/>. View the project on GitHub: <https://github.com/PlotPyStack/plotpy/>. Review the documentation: <https://plotpy.readthedocs.io/en/latest/>. Cheers, Pierre