evidentlyai/evidently
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Evidently helps machine learning practitioners evaluate, test, and monitor their AI models, including traditional ML and Large Language Models. You feed in your model's input and output data, and it generates reports, test suites, or a monitoring dashboard that highlight potential issues like data drift, model performance degradation, or LLM response quality problems. This tool is for data scientists, ML engineers, and MLOps specialists who need to ensure their AI systems are working correctly.
7,298 stars. Used by 2 other packages. Actively maintained with 3 commits in the last 30 days. Available on PyPI.
Use this if you need to understand how your AI models are performing, catch issues like data changes or performance drops, or ensure the quality of your LLM applications from development to production.
Not ideal if you are looking for a fully managed, enterprise-grade MLOps platform with extensive model governance features out-of-the-box.
Stars
7,298
Forks
805
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Mar 10, 2026
Commits (30d)
3
Dependencies
26
Reverse dependents
2
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