Classical quantum emulators are key tools for algorithm design, error correction, and noise mitigation. They rely on a variety of simulation methods such as statevector, tensor networks, matrix product states, decision diagrams and others. Their performance depends not only on simulation method and circuit properties, but also on emulator-specific parameters, pre-processing and implementation. Systematic benchmarking of emulators is essential for advancing simulation techniques and selecting the most suitable emulator for a given task. To address this need, we present an open-source, user-centric, problem-agnostic framework with a unified API for twelve leading emulators, delivering detailed performance insights for quantum computing research and development.