Quick comparison guide
In this chapter, we discussed the different types of XAI frameworks available in Python. Of course, no one framework is absolutely perfect and can be used for all scenarios. Throughout the sections, I did mention the pros and cons of each framework, but I believe it will be really handy if you have a quick comparison guide to decide on your choice of XAI framework, considering your given problem.
The following table illustrates a quick comparison guide for the seven XAI frameworks covered in this chapter. I have tried to compare these based on the different dimensions of explainability, their compatibility with various ML models, a qualitative assessment of human-friendly explanations, the robustness of the explanations produced, a qualitative assessment of scalability, and how fast the particular framework can be adopted in production-level systems: