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Evidently is an open-source Python library for ML and LLM evaluation and observability. It helps evaluate, test, and monitor AI-powered systems and data pipelines from experimentation to production.
Evidently is very modular. You can start with one-off evaluations using Reports or Test Suites in Python or get a real-time monitoring Dashboard service.
Split the DataFrame into reference and current. Run the Data Stability Test Suite that will automatically generate checks on column value ranges, missing values, etc. from the reference. Get the output in Jupyter notebook:
Evidently has 100+ built-in evals. You can also add custom ones. Each metric has an optional visualization: you can use it in Reports, Test Suites, or plot on a Dashboard.
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