Langfuse vs Lunary (2026) | Respan
Langfuse vs Lunary
Updated March 9, 2026
Langfuse
vs
Lunary
Overview
Rating
10.0 / 10
Rating
10.0 / 10
Best For
Teams who want open-source LLM observability they can self-host and customize
Best For
—
Product Summary
Langfuse is an open-source LLM observability platform that provides tracing, analytics, prompt management, and evaluation for AI applications. It captures detailed traces of LLM calls, supports custom scoring, and integrates with LangChain, LlamaIndex, Vercel AI SDK, and raw API calls. Langfuse can be self-hosted for data privacy or used as a managed cloud service. Its open-source model and generous free tier make it popular with startups and developers.
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
Open Source
Starting Price
$0 Per month
Free Trial
No
Free Trial
Yes
Free Version
No
Free Version
Yes
Website
Website
Key features
Core capabilities each platform advertises.
Langfuse
- Open-source LLM observability
- Detailed trace and span tracking
- Prompt management
- Evaluation scoring
- Self-hosted and cloud options
Lunary
Data not available
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Langfuse
Pros
- Fully open-source with MIT license and free for commercial use with no usage limits
- Acquired by ClickHouse in January 2026, providing strong backing and future investment
- Active development with strong community support and comprehensive documentation
- Transparent pricing model based on units rather than complex metric calculations
- Deep integrations with major frameworks like LangChain, OpenAI, and LlamaIndex
Cons
- Recent acquisition by ClickHouse may lead to platform changes and strategic shifts
- Smaller team of 7 employees may impact support capacity
- Enterprise pricing at $3,450-$5,700/month can be expensive for mid-sized teams
Lunary
Pros
- Production-ready platform
- Good performance
- Active development
- Strong features
Cons
- Enterprise pricing varies
- Setup complexity
- Learning curve required
Langfuse or Lunary — which should you choose?
Choose Langfuse if you want:
- Self-hosted LLM monitoring
- Open-source tracing for AI applications
- Prompt versioning and management
- Cost tracking across providers
- Community-driven observability
Choose Lunary if you want:
Data not available
Compare Langfuse and Lunary on your own traffic
10K Free traces/mo
500+ Models
5 min Setup
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.