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Giskard vs Ragas

Giskard logo

Giskard

7.6#4 in ai security testing toolsFree plan
Free planWebAPILinuxSelf-hosted
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Ragas logo

Ragas

5.7#20 in llm evaluation tools
APILinuxSelf-hosted
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What both publish

FactGiskardRagas
IntegrationsThe earlier product description lists compatibility with Hugging Face, MLflow, Weights & Biases, PyTorch, TensorFlow and LangChain.The documentation lists integrations with Arize, LangSmith, Amazon Bedrock, Google Gemini, OCI Gen AI, LangChain, LangGraph, LlamaIndex, and other frameworks.
PurposeGiskard describes its platform as a way to find vulnerabilities in AI agents before they reach production.Ragas is a library for systematically evaluating AI and large language model applications.

Giskard plans

  • FreeFree
  • Open-sourceFree
  • EnterprisePriced on request
  • ProfessionalPriced on request

Ragas plans

No prices published.

Pick Giskard if…

Giskard suits teams responsible for evaluating conversational AI agents through API endpoints before release. It also fits organizations needing enterprise red-team scans, custom evaluations, human review, or controlled deployment options.

Pick Ragas if…

Ragas suits developers and teams evaluating AI applications, especially RAG, agents, SQL, and similar workflows. It fits users comfortable installing and running a self-hosted Python package.

Charts they share