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HoneyHive vs Langfuse

Both stand on ai prompt management software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

HoneyHive

Free plan APISelf-hostedWeb

HoneyHive covers trace inspection, evaluations, live monitoring, and version experiments for AI agents. Teams should compare the free plan’s limits with their event volume and retention needs.

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Langfuse

Free plan Open source APILinuxSelf-hosted+1

Langfuse brings tracing, prompt workflows, and evaluation features into one AI engineering platform, with both hosted and self-hosted options. The free Hobby plan is limited to two users and 30 days of data access; paid plans add higher limits and support options.

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The facts

HoneyHiveLangfuse
Free planYesYes
Open sourceNot publishedYes
Runs onAPI, Self-hosted, WebAPI, Linux, Self-hosted, Web
Lowest paid planFree or on requestCore: $29 a month
Plans published25
MakerNot publishedNot published
Websitehoneyhive.ailangfuse.com
On ai prompt management software#6 of 25#2 of 25

HoneyHive: what it does well

  • Traces show prompts, tool calls, and agent decisions.
  • Supports code, LLM-judge, and human evaluations.
  • Live monitoring includes drift detection and alerts.
  • OpenTelemetry conventions support instrumented libraries.
  • Free plan includes 10,000 monthly events.

What to know first

  • Free plan limits users to five.
  • Free plan retains data for 30 days.
  • Enterprise pricing is custom.

Langfuse: what it does well

  • Tracing captures prompts, latency, tool calls, and retrieval steps.
  • Prompt Management versions and tests prompts.
  • Evaluation includes datasets, experiments, and user feedback.
  • Free Hobby plan includes 50k units monthly.
  • Self-hosting options include Docker Compose, Kubernetes, AWS, and Azure.

What to know first

  • Hobby includes only two users.
  • Hobby data access lasts 30 days.
  • Core costs $29 a month, billed monthly.
  • Teams Add-on costs $300 a month, billed monthly.

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