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Ragas vs Helicone

RagasHelicone

Bottom line: Ragas for teams evaluating RAG pipelines; Helicone for teams wanting simple, cheap LLM logging.

RagasRagas

Open-source evaluation toolkit for RAG and LLM applications.

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HeliconeHelicone

Open-source LLM observability and AI gateway in one line of code.

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Votes00
PricingFreeFreemium
CategoryLlm ObservabilityLlm Observability
Tags
ragllm-evaluationopen-sourcetestingmetrics
llm-observabilityai-gatewayopen-sourcemonitoringcaching
Best for
  • Teams evaluating RAG pipelines
  • Developers adding eval to CI/CD
  • RAG researchers and practitioners
  • Teams wanting simple, cheap LLM logging
  • Developers self-hosting an open-source gateway
  • Cost and usage monitoring across providers
Pros
  • 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
  • Extremely easy integration via a one-line base-URL swap
  • Open source under Apache 2.0 and free to self-host
  • Tiny Docker image that runs almost anywhere
  • Gateway features like caching, failover, and rate limiting cut cost and improve reliability
  • Generous free tier of 10,000 requests per month
Cons
  • 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
  • Product is in maintenance mode after the Mintlify acquisition, with no roadmap
  • Long-term hosted-service viability is uncertain and migration may be needed
  • Usage-based overages mean the Pro price is a floor, not a cap
  • Short retention on lower tiers (7 days free, 30 days Pro)
  • Large price jump from Pro to Team for compliance features

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