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Langfuse vs PostHog — Which One Wins?

A detailed, side-by-side comparison of Langfuse and PostHog to help you pick the right tool for your workflow.

TLDR

Quick Verdict

Langfuse takes the lead with a 4.5 rating and is best for ai engineering teams that need observability into their llm application performance and costs. PostHog (3.8) is the better pick if you need product teams wanting all-in-one open-source analytics.

Side-by-Side Comparison

CriteriaLangfusePostHog
Rating★★★★★ 4.5(54)★★★★ 3.8(38)
Pricing Modelopen_sourceopen_source
Starter Price$59/moFree 1M events
Free TierNoNo
PlatformsWebWeb
Learning Curvemoderatemoderate
API AvailableYesYes
Best ForAI engineering teams that need observability into their LLM application performance and costsProduct teams wanting all-in-one open-source analytics
Verdictrecommendedrecommended

Feature Checklist

FeatureLangfusePostHog
LLM tracing and debugging
Cost tracking
Prompt management
Evaluation framework
Analytics dashboard
Self-hosting option
Analytics
Session replay
Feature flags
A/B testing
Surveys
Self-hosting

Langfuse

Pros

  • Open-source and self-hostable
  • Excellent tracing
  • Cost tracking per request
  • Good evaluation framework

Cons

  • Only useful for LLM apps
  • Requires integration effort
  • Analytics depth still improving

PostHog

Pros

  • All-in-one
  • Generous free
  • Open-source
  • Active dev

Cons

  • Marketing weaker
  • Self-hosting complex
  • Resource-intensive

The Bottom Line

Both Langfuse and PostHog are solid tools in the Analytics & Data space. Langfuse edges ahead with a stronger overall rating (4.5 vs 3.8) and is the better choice for ai engineering teams that need observability into their llm application performance and costs. However, if you prioritize product teams wanting all-in-one open-source analytics, PostHog is worth serious consideration. We recommend trying the free tier or trial of each before committing.

Frequently Asked Questions

Is Langfuse better than PostHog?
Langfuse scores higher overall with a 4.5 rating vs 3.8. However, the best choice depends on your specific needs. Langfuse is best for AI engineering teams that need observability into their LLM application performance and costs, while PostHog is best for Product teams wanting all-in-one open-source analytics.
Can I switch from Langfuse to PostHog?
Yes, most users can migrate between the two. PostHog offers trial options to help you evaluate the switch.
Which is more affordable, Langfuse or PostHog?
Langfuse starts at $59/mo, while PostHog starts at Free 1M events.