Langfuse vs LangSmith
Agent-native side-by-side. Scores are curated estimates on a 0–10 scale. Lock-in: higher = worse. Prefer JTBD picks via /api/decide when choosing for a job.
| Dimension | Langfuse | LangSmith |
|---|---|---|
| Overall | 8.7 | 8.1 |
| Capability fit | 8.8 | 9.0 |
| Price / performance | 9.2 | 7.0 |
| Latency / reliability | 8.4 | 8.8 |
| Developer & agent DX | 8.8 | 9.0 |
| Privacy / data retention | 8.8 | 7.8 |
| Lock-in risk (higher = worse) | 2.5 | 6.5 |
| Maturity / track record | 8.2 | 8.8 |
| Pricing | Open-source + cloud; generous self-host; cloud from ~$29–59/mo tiers; EU-friendly. | Seat + trace volume pricing; deep LangChain/LangGraph integration; Plus tiers from tens of $/mo. |
| Tagline | Depot default observability for most agent teams: open, affordable, good enough to serious. | If you live in LangGraph, LangSmith is the obvious observatory. Otherwise compare Langfuse/Helicone first. |
Langfuse
Depot default observability for most agent teams: open, affordable, good enough to serious. Strengths: OSS + cloud flexibility; Excellent agent/trace UI for the price; EU posture.
Strengths
- OSS + cloud flexibility
- Excellent agent/trace UI for the price
- EU posture
Weaknesses
- Enterprise features chase LangSmith
- You operate it if self-hosting
- Ecosystem still growing
LangSmith
If you live in LangGraph, LangSmith is the obvious observatory. Otherwise compare Langfuse/Helicone first. Strengths: Best tracing UX in LangChain ecosystem; Datasets/evals integrated; Production debugging for chains/agents.
Strengths
- Best tracing UX in LangChain ecosystem
- Datasets/evals integrated
- Production debugging for chains/agents
Weaknesses
- LangChain-centric gravity (works elsewhere but shines in-family)
- Cost scales with trace volume
- Lock-in to LangSmith workflows
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