sklearn-evaluation is a Python library that simplifies ML model evaluation by generating plots, tables, and HTML reports. It provides experiment tracking capabilities and integrates with Jupyter notebooks for interactive analysis. The library supports multiple ML frameworks including scikit-learn, PyTorch, and TensorFlow, making it a versatile tool for data scientists evaluating model performance.