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Head-to-head · AI Observability

OpenLIT vs HoneyHive

Both have a $0 option. OpenLIT favors self-hosting and OpenTelemetry; HoneyHive publishes free-tier caps and focuses on agent evaluation.

OpenLIT

7.4/10
VS

HoneyHive

7.2/10

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Short answer

Most buyers should pick OpenLIT.

Choose OpenLIT if you want an Apache 2.0, self-hosted observability stack with OpenTelemetry export and no per-trace fee. Choose HoneyHive if production evaluations, offline experiments, and step-by-step agent replay matter more—and its 10,000-event, five-user Developer plan fits. Both list a $0 option, but neither publishes paid monthly or annual rates. HoneyHive publishes its free caps; OpenLIT's hosted Cloud pricing is still coming, while Enterprise is contact-us.

01Side by side

OpenLITHoneyHive
Starting price$0 OSS, self-hosted; no per-trace fee$0 Developer plan; 10,000 events/month
Free planApache 2.0 OSS; unlimited self-hosted usage10,000 events/month; five users; one workspace
Best forTeams wanting self-hosted, OpenTelemetry-native observabilityTeams evaluating and monitoring production AI agents
Core strengthTracing, GPU monitoring, prompts, guardrails, and evaluationsAgent evaluation, experiments, replay, and drift alerts
Learning curveEase-of-use review score: 6.2Ease-of-use review score: 7
Integrations/dataOpenTelemetry-native; telemetry can export to other backendsSelf-hosted, hybrid, or single-tenant Enterprise options
Team/seat costsOSS usage unlimited; seat limits not publishedFree capped at five users; Enterprise users unlimited
SupportReview support score: 6Review support score: 5

Choose OpenLIT if

  • Choose OpenLIT if you need OpenTelemetry export.
  • Choose OpenLIT if self-hosting and Apache 2.0 matter.
  • Choose OpenLIT if you want no per-trace fee.

Choose HoneyHive if

  • Choose HoneyHive if agent evaluations are your priority.
  • Choose HoneyHive if you need offline experiments and replay.
  • Choose HoneyHive if five free users and 10,000 events suffice.

02Pricing compared

Both products list a $0 option, but only HoneyHive publishes free-plan caps. OpenLIT’s OSS plan is free under Apache 2.0 for self-hosting, with unlimited self-hosted usage and no per-trace fee. Its Enterprise plan is contact-us, and Cloud pricing is still to be shared at launch. Paid monthly and annual rates are not published.

HoneyHive’s Developer plan is $0 per month and includes 10,000 events monthly, up to five users, one workspace, 30-day data retention, and 1,000 requests per minute. Enterprise pricing is custom; the plan lists custom usage limits, users, workspaces, and retention. Neither product publishes paid monthly or annual rates. Compare OpenLIT’s free usage with HoneyHive’s event cap, but factor in self-hosting before treating OpenLIT as the cheaper switch.

03Features and depth

OpenLIT combines LLM tracing, evaluations, prompt management, agent monitoring, an API key vault, and GPU monitoring. Its tracing covers LLM calls, tools, and retrieval, with filters for user, session, cost, latency, or metadata. Evaluations can use LLM judges, heuristics, or human review on production traffic or experiments. OpenTelemetry support lets teams export telemetry to other OpenTelemetry backends.

HoneyHive’s feature set puts more detail around evaluation workflows. It can replay runs step by step, including prompts, tool calls, decisions, and handoffs; compare agent versions on the same dataset; and score outputs, tools, interactions, or trajectories with LLM judges, custom code, or composite evaluators. It also lists production alerts and drift detection, plus prompt testing and CI evaluations to gate releases. Both products offer prompt management and evaluation. OpenLIT stands out for its stated GPU monitoring and OpenTelemetry approach; HoneyHive lists offline experiments, replay, and alerting in more detail.

04Ease of use and learning curve

The clearest practical difference is deployment. OpenLIT’s $0 OSS plan is self-hosted, so teams choosing it need to run that deployment themselves; its hosted Cloud option is listed as coming soon, with pricing not yet published. The published review rates its ease of use 6.2 out of 10.

HoneyHive offers a Developer plan with published limits, so teams can judge whether 10,000 monthly events and five users are enough before considering Enterprise. Enterprise can include optional self-hosting, hybrid, or single-tenant deployment. Its published ease-of-use score is 7 out of 10. Those scores are not a substitute for checking fit: your deployment preference and expected event volume matter more.

Questions people ask

Which is cheaper, OpenLIT or HoneyHive?

Both list a free option. OpenLIT OSS has unlimited self-hosted usage and no per-trace fee, but self-hosting costs are not published. HoneyHive Developer is free with a 10,000-event monthly cap and other limits. Neither publishes paid monthly or annual rates, so paid-plan cost cannot be compared from the listed prices.

Can we self-host either product?

OpenLIT’s OSS plan is explicitly self-hosted under Apache 2.0. HoneyHive lists optional self-hosting, hybrid, or single-tenant deployment under Enterprise. The available pricing information does not list those deployment options for its free Developer plan.

Does OpenLIT have a usage cap on its free plan?

OpenLIT lists unlimited self-hosted usage and no per-trace fee on its $0 OSS plan. That applies to the self-hosted OSS offering; hosted Cloud pricing is not published and is described as coming soon.

Which product is stronger for AI agent evaluations?

HoneyHive lists offline experiments, dataset comparisons, step-by-step run replay, and evaluators for outputs, tools, interactions, and trajectories. OpenLIT also supports evaluations, using LLM judges, heuristics, or human review on production traffic or experiments. Choose based on which workflow you need.