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AI tools are all over the place. This is the full landscape — 207 tools across 17 categories, mapped and connected. Ready to narrow it down? Build your stack →

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These tools competes with
RAGAS
vs
DeepEval

Choose RAGAS when…

  • •You're evaluating a RAG pipeline specifically
  • •Context relevance and answer faithfulness are your key metrics
  • •You want an OSS eval framework focused on retrieval quality

Choose DeepEval when…

  • •You want a pytest-style framework for LLM testing
  • •Unit-test-like evals for LLM outputs fit your workflow
  • •You need RAG-specific metrics like faithfulness and relevancy
Field
RAGAS
DeepEval
Category
Prompt & Eval
Prompt & Eval
Type
OSS
OSS
Free Tier
✓ Yes
✓ Yes
Plans
—
—
Stars
⭐ 7,000
⭐ 5,500
Health
●55 — Slowing
●80 — Active
Trajectory
— not enough data
— not enough data
Synced
today
today

RAGAS

Evaluates retrieval-augmented generation pipelines on faithfulness, answer relevancy, context precision, and recall.

DeepEval

Open-source evaluation framework with 14+ metrics including faithfulness, relevancy, and hallucination detection. Integrates with CI/CD.

RAGAS Website ↗GitHub ↗
DeepEval Website ↗GitHub ↗

Shared Connections (2)

LangfuseTruLens

Only RAGAS (3)

LangChainLlamaIndexDeepEval

Only DeepEval (5)

RAGASPromptFooOpenAI APIInspectGalileo
See full comparison in Explore →