OmniXAI is a machine-learning library for explainable AI that offers multiple explanation methods for understanding model predictions across different data modalities. It provides tools for computing feature importance, counterfactual explanations, and model-agnostic interpretability. The library includes integration with ChatGPT for generating human-readable explanations based on SHAP and MACE analysis results.