Side-by-side

DeepEval vs Vellum

DeepEvalVellum

Bottom line: DeepEval for engineering teams treating evals like tests; Vellum for teams wanting an all-in-one build-evaluate-deploy platform.

	DeepEval Open-source LLM evaluation framework with pytest-style testing. 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-evaluationtestingopen-sourceragci-cd	llmopsai-agentsprompt-engineeringevaluationworkflow
Best for	Engineering teams treating evals like tests Teams gating deployments on LLM quality RAG and agent developers	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	pytest-style workflow fits developer habits 50+ research-backed metrics out of the box Apache-2.0 and free to use Covers RAG, agents, conversations, and safety Integrates into CI/CD for quality gates	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	Eval reliability depends on judge model/config Competitive, crowded evaluation category Richer collaboration features require Confident AI cloud LLM-as-a-judge adds model API costs Requires writing and maintaining test suites	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

Comparison generated from each tool's listing. Add or remove tools above to change it.