HoneyHive vs Lunary
Updated March 10, 2026
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Overview
Rating
10.0 / 10
Rating
10.0 / 10
Best For
Enterprise teams managing prompts and running evals
Best For
—
Product Summary
Prompt management + regression evals in one platform. SOC 2 compliant with annotation queues.
Product Summary
Lunary is an open-source LLM observability platform for monitoring AI applications in production. It provides request tracing, cost tracking, user analytics, and prompt management with a clean dashboard. Lunary can be self-hosted for data privacy and offers a managed cloud option.
Starting Price
paid
Starting Price
$0Per month
Free Trial
No
Free Trial
Yes
Free Version
No
Free Version
Yes
Website
Website
Key features
Core capabilities each platform advertises.
- Prompt management
- Regression testing
- SOC 2
- Annotation queues
Data not available
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Pros
- Comprehensive observability with OpenTelemetry-native distributed tracing across 100+ LLMs and frameworks
- Strong security and compliance (SOC 2 Type II, GDPR, HIPAA) with flexible deployment options
- Built-in evaluation tools with 25+ pre-built evaluators and human review workflows
- Centralized prompt versioning with Git-native version control and GitOps workflows
- Session replay and multi-agent system visualization for debugging complex AI applications
Cons
- Pricing information not transparently available on website
- May have steep learning curve for teams new to AI observability
- Enterprise-focused features may be overkill for smaller projects
Pros
- Production-ready platform
- Good performance
- Active development
- Strong features
Cons
- Enterprise pricing varies
- Setup complexity
- Learning curve required
Compare HoneyHive and Lunary on your own traffic
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 500+ models through one gateway.
10KFree traces/mo
500+Models
5 minSetup