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Galileo vs Ragas

GalileoRagas

Bottom line: Galileo for teams shipping GenAI apps to production; Ragas for teams evaluating RAG pipelines.

GalileoGalileo

Evaluation intelligence and observability platform for GenAI apps and agents

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RagasRagas

Open-source evaluation toolkit for RAG and LLM applications.

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Votes00
PricingFreemiumFree
CategoryLlm ObservabilityLlm Observability
Tags
llm-evaluationobservabilityguardrailsgenai-metricsagent-monitoring
ragllm-evaluationopen-sourcetestingmetrics
Best for
  • Teams shipping GenAI apps to production
  • Organizations needing evaluation rigor
  • Agent developers wanting guardrails
  • Teams evaluating RAG pipelines
  • Developers adding eval to CI/CD
  • RAG researchers and practitioners
Pros
  • Purpose-built Luna evaluation models (fast, cheaper than LLM-judge)
  • 20+ research-backed metrics
  • Covers evaluation, observability, and guardrails
  • Polished console with minimal setup
  • Free plan with 5,000 traces/month
  • Focused, research-backed RAG metrics
  • Free and open source
  • Reduces need for manual labeling via LLM scoring
  • Synthetic test-set generation
  • Broadened to LLM and agent evaluation
Cons
  • Pro at $100/month may be steep for small teams
  • Free plan lacks RBAC and advanced analytics
  • Managed platform hosts your evaluation data (unless enterprise self-host)
  • Text/GenAI-focused
  • Advanced features gated to higher tiers
  • LLM-as-a-judge scores need validation
  • Mainly a library; you build dashboards/infra
  • Judge model choice affects reliability and cost
  • Python-only
  • Less turnkey than managed eval platforms

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