Export data from RamanSPy to AI frameworks. The data management core of RamanSPy allows a direct interface with the entire Python ecosystem, including frameworks for statistical modelling, machine learning and deep learning. To do that, users can simply feed relevant data from RamanSPy to functions and tools they want to use elsewhere. For instance, one can pass the intensity data stored in a spectral container to a specific model from the scikit-learn framework for statistical and ML modelling directly via their fit() method: model . fit ( s p ec tr a l _ c o n t a i n e r . spectral_data )