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Lunary vs Vellum

LunaryVellum

Bottom line: Lunary for chatbot and RAG builders; Vellum for teams wanting an all-in-one build-evaluate-deploy platform.

	Lunary Open-source LLM observability and prompt management for chatbots and RAG Visit	Vellum Build, evaluate, and deploy LLM apps and agents with confidence. Visit
Votes	0	0
Pricing	Freemium	Freemium
Category	Llm Observability	Llm Observability
Tags	llm-observabilityopen-sourcetracingprompt-managementrag	llmopsai-agentsprompt-engineeringevaluationworkflow
Best for	Chatbot and RAG builders Teams wanting open-source observability Privacy-sensitive projects	Teams wanting an all-in-one build-evaluate-deploy platform Cross-functional groups with technical and non-technical members Regulated sectors needing VPC or HIPAA options
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	Combines prompt, workflow, evaluation, and deployment in one platform Visual workflow builder lowers the barrier for cross-functional collaborators Solid evaluation and testing tooling for pre-production quality gates Multi-provider model support avoids lock-in Free tier lets teams trial without a credit card
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	Pricing is opaque and sales-led, making budgeting hard Not open source, and self-hosting is locked to Enterprise Free tier is quite limited in credits, documents, and seats Smaller company and funding than infrastructure incumbents Frequent repositioning can mean shifting product focus

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