Evidently AI

开源的机器学习模型监测和测试工具

官网公开介绍

Ensure your AI is production-ready. Test LLMs and monitor performance across AI applications, RAG systems, and multi-agent workflows. Open-source.

📚 LLM-as-a-Judge: a Complete Guide on Using LLMs for Evaluations. Get your copy

Open-source AI evaluation and observability

You can’t trust what you don’t test. Make sure your AI is safe, reliable and ready — on every update.

GitHubExplore docs

Explore docs

The leading open-source AI evaluation framework

Evaluate, test, and monitor LLMs, RAG applications, AI agents, and ML models in a single framework. Fully open-source under Apache 2.0.

GitHub stars

Community members

AI fails differently

Non-deterministic AI systems break in ways traditional software doesn’t.

Hallucinations

LLMs confidently make things up.

Unexpected inputs bring the quality down.

Data & PII leaks

Sensitive data slips into responses.

Risky outputs

From competitor mentions to unsafe content.

Bad actors hijack your AI with clever prompts.

Data shifts can affect model performance.