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Traceloop vs Helicone

TraceloopHelicone

Bottom line: Traceloop for engineering teams operating LLM apps in production; Helicone for teams wanting simple, cheap LLM logging.

Open-source LLM observability built on OpenTelemetry

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

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Votes00
PricingFreemiumFreemium
CategoryCodingCoding
Tags
llm observabilitymonitoringopentelemetrydeveloper toolsopen source
llm-observabilityai-gatewayopen-sourcemonitoringcaching
Best for
  • Engineering teams operating LLM apps in production
  • Developers wanting vendor-neutral observability
  • Teams already using OpenTelemetry
  • Teams wanting simple, cheap LLM logging
  • Developers self-hosting an open-source gateway
  • Cost and usage monitoring across providers
Pros
  • Built on open standard OpenTelemetry, avoiding lock-in
  • Open-source OpenLLMetry library is free (Apache-2.0)
  • Generous free tier on the managed platform
  • Broad support for providers and frameworks
  • Multiple language SDKs
  • 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
  • Requires engineering effort to instrument and interpret
  • Smaller, seed-stage company
  • Advanced evaluation features still maturing
  • Aimed at developers, not non-technical users
  • Enterprise support and guarantees worth verifying
  • 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

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