Evidently
evidentlyai.com · LLM Evals
Open source library for evaluating, testing and monitoring ML and LLM systems, from data drift to response quality.
Evidently is one of 20 LLM eval tools on TrueIQ. See all LLM eval tools or how we check facts.
Open source
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Guides that cover Evidently
Best LLM Evaluation Frameworks in 2026, Compared
The best LLM evaluation frameworks in 2026: Promptfoo, DeepEval, Ragas, Inspect and TruLens for apps, plus lm-evaluation-harness and HELM for model benchmarks.
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Evidently alternatives and related tools
DeepEvaldeepeval.comPytest style framework for unit testing LLM apps with metrics for hallucination, relevance, RAG quality and more.LLM EvalsOpen source★ 19.2k
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Promptfoopromptfoo.devOpen source CLI for testing prompts, models and RAG apps with assertions, side by side comparisons and automated red teaming. Part of OpenAI since 2026 and still MIT licensed.LLM EvalsOpen source★ 26.5k
garakgarak.aiNVIDIA's open source (Apache 2.0) LLM vulnerability scanner that probes models and endpoints for jailbreaks, prompt injection, data leakage and toxic output.LLM EvalsOpen source★ 9.7k
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Giskardgiskard.aiOpen source Python library for evaluating and red teaming AI agents and RAG apps. Version 3 is a modular rewrite for multiturn testing; v2 is no longer maintained.LLM EvalsOpen source★ 5.9k