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Overview
Ensure your AI is production-ready. Test LLMs and monitor performance across AI applications, RAG systems, and multi-agent workflows. Open-source.
News
Evidently 0.7.17: open-source LLM tracing and dataset management
We released a major update that brings previously closed functionality to the open-source. Evidently Open-source now supports data storage backend, raw dataset management, LLM tracing storage and viewer.
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Evidently AI - LLM evaluation for builders: applied course
Free video course with 10 hands-on code tutorials. From designing custom LLM judges to RAG evaluations and adversarial testing. Sign up to save your seat.
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GitHub - 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 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. - evidentlyai/evidently
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Evidently AI - Open-source ML observability course
Free Open-source ML observability course for data scientists and ML engineers! Learn production ML monitoring at your own pace or sign up for the next cohort.
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Evidently AI - ML and LLM system design: 800 case studies
How do top companies apply AI? A database of 800 case studies from 150+ companies with practical ML use cases, LLM applications, and learnings from designing ML and LLM systems.
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