Evidently AI
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Introduction
Open-source AI evaluation and observability platform to test, evaluate, and monitor LLMs and ML models.
Listed on
July 22, 2026
What is Evidently AI?
Evidently AI is an open-source framework for AI evaluation and observability. It allows teams to evaluate, test, and monitor LLMs, RAG applications, AI agents, and predictive ML models in a single framework. The platform helps ensure AI systems are safe, reliable, and production-ready by detecting issues like hallucinations, data drift, and PII leaks.
How to use Evidently AI?
- To use Evidently, start by installing the open-source library from GitHub. Then, define evaluation metrics or use the built-in library of 100+ metrics to test your AI outputs. Integrate Evidently into your CI/CD pipeline or monitoring system to run evaluations and track results via shareable visual reports and live dashboards.
Core features of Evidently AI
- Evaluate LLM quality and safety with 100+ built-in metrics
- Monitor data drift and predictive quality for ML models
- Generate synthetic data for edge-case and adversarial testing
- Continuous monitoring with live dashboards for drift and regressions
- Customizable evaluations with any prompt, model, or rule
- Fully open-source under Apache 2.0
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