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Evidently is an open-source Python library to evaluate, test, and monitor ML and LLM systems—from experiments to production. 🔡 Works with tabular and text data. ✨ Supports evals for predictive and generative tasks, from classification to RAG. 📚 100+ built-in metrics from data drift detection to LLM judges. 🛠️ Python interface for custom metrics. 🚦 Both offline evals and live monitoring. 💻 Open architecture: easily export data and integrate with existing tools. Evidently is very modular. You can start with one-off evaluations or host a full monitoring service.