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DeepEval vs RAGChecker

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DeepEval

8.3#1 in llm evaluation toolsFrom $200 a month
Free planWebAPILinuxmacOS
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RAGChecker

5.8#19 in llm evaluation toolsFree plan
Free planSelf-hosted
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What both publish

FactDeepEvalRAGChecker
LicenseThe repository and package identify DeepEval as Apache Software License 2.0.The project is licensed under Apache-2.0.
PurposeDeepEval is an open-source LLM evaluation framework for building evaluation pipelines to test AI systems.RAGChecker is an automatic evaluation framework for assessing and diagnosing retrieval-augmented generation systems.

DeepEval plans

  • DeepEvalFree
  • FreeFree
  • Starter$200 a month
  • Team$2,000 a month
  • EnterprisePriced on request

RAGChecker plans

  • RAGCheckerFree

Pick DeepEval if…

DeepEval suits developers building repeatable AI evaluations in Python or CI/CD, especially those testing multiple modalities or agent workflows. Its free OS offering is for pre-production testing rather than production evaluation.

Pick RAGChecker if…

It suits developers and teams evaluating self-hosted RAG applications that need retrieval and generation diagnostics. Users should be comfortable installing Python packages and supplying annotated evaluation data.

Charts they share