PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Built by researchers, for research, it provides a differentiable programming framework that enables training quantum and hybrid quantum-classical models. The project is open-source and widely used for research and education, with documentation and demos to accelerate quantum computing workflows. It supports high-performance simulations and integration with hardware and cloud platforms.