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Laminar vs Helicone

LaminarHelicone

Bottom line: Laminar for agent developers; Helicone for teams wanting simple, cheap LLM logging.

LaminarLaminar

Open-source, OpenTelemetry-native observability and evals built for AI agents

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HeliconeHelicone

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

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Votes00
PricingFreemiumFreemium
CategoryLlm ObservabilityLlm Observability
Tags
llm-observabilityagent-tracingopentelemetryevalsopen-source
llm-observabilityai-gatewayopen-sourcemonitoringcaching
Best for
  • Agent developers
  • LLM app engineers
  • Teams needing evals plus tracing
  • Teams wanting simple, cheap LLM logging
  • Developers self-hosting an open-source gateway
  • Cost and usage monitoring across providers
Pros
  • Open source under Apache 2.0
  • OpenTelemetry-native, one-line tracing
  • Fast Rust implementation
  • Plain-English Signals for agent behaviors
  • Built-in evals SDK and CLI
  • 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
  • Younger and smaller than major competitors
  • Ecosystem and integrations still growing
  • Free tier has short retention
  • Best suited to agent-heavy use cases
  • Requires OpenTelemetry familiarity for advanced use
  • 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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