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Lunary vs Ragas

LunaryRagas

Bottom line: Lunary for chatbot and RAG builders; Ragas for teams evaluating RAG pipelines.

	Lunary Open-source LLM observability and prompt management for chatbots and RAG Visit	Ragas Open-source evaluation toolkit for RAG and LLM applications. Visit
Votes	0	0
Pricing	Freemium	Free
Category	Llm Observability	Llm Observability
Tags	llm-observabilityopen-sourcetracingprompt-managementrag	ragllm-evaluationopen-sourcetestingmetrics
Best for	Chatbot and RAG builders Teams wanting open-source observability Privacy-sensitive projects	Teams evaluating RAG pipelines Developers adding eval to CI/CD RAG researchers and practitioners
Pros	Open source under Apache 2.0 Self-hostable with no per-event cost Lightweight and fast to set up Model-agnostic with LangChain and OpenAI support Free cloud tier for low volumes	Focused, research-backed RAG metrics Free and open source Reduces need for manual labeling via LLM scoring Synthetic test-set generation Broadened to LLM and agent evaluation
Cons	Free cloud tier capped at limited daily events Lighter feature set than enterprise LLMOps suites Smaller team and community than larger platforms Advanced analytics may require paid plans Self-hosting still requires operational effort	LLM-as-a-judge scores need validation Mainly a library; you build dashboards/infra Judge model choice affects reliability and cost Python-only Less turnkey than managed eval platforms

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