HoneyHive vs Langfuse (2026)
vs
Overview
Rating
10.0 / 10
Rating
10.0 / 10
Best For
Enterprise teams managing prompts and running evals
Best For
Teams who want open-source LLM observability they can self-host and customize
Product Summary
Prompt management + regression evals in one platform. SOC 2 compliant with annotation queues.
Product Summary
Langfuse is an open-source LLM engineering platform for tracing, evals, and prompt management, self-hosted or on Langfuse Cloud with a free plan.
Starting Price
paid
Starting Price
Free
Free Trial
No
Free Trial
No
Free Version
No
Free Version
Yes
Website
Website
Key features
Core capabilities each platform advertises.
- Prompt management
- Regression testing
- SOC 2
- Annotation queues
- Tracing for LLM calls, tool runs, and agent steps
- Python and TypeScript SDKs plus OpenTelemetry
- LLM-as-a-judge and custom evaluations
- Datasets and experiments
- Prompt management and playground
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
- MIT-licensed core, self-hostable with Docker Compose or Kubernetes
- Tracing, evals, and prompt management in one tool
- Unlimited users on paid cloud plans
- Free Hobby plan with 50k units a month
- Native SDKs plus OpenTelemetry for other languages
Cons
- No LLM gateway, so routing, failover, and spend limits need a separate tool
- Hobby plan keeps 30 days of data and caps at 2 users
- Enterprise SSO and RBAC need the $300/month Teams add-on on Pro
- Self-hosting means running and scaling Langfuse's services yourself
HoneyHive or Langfuse — which should you choose?
Choose HoneyHive if you wantChoose if you want
Data not available
Choose Langfuse if you wantChoose if you want
- Tracing and debugging LLM apps and agents
- Self-hosting LLM observability
- Versioning prompts across environments
- Scoring outputs with LLM judges and human review
Compare HoneyHive and Langfuse on your own traffic
10KFree traces/mo
1,000+Models
5 minSetup
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 1,000+ models through one gateway.
Try Respan free