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Comparison · 2026LangSmith vs Langfuse: a neutral 2026 comparison
The two most-cited LLM observability tools, compared on the axes that actually decide a purchase — licensing, self-hosting, pricing model, framework coupling, and evals.
Last updated: July 4, 2026
TL;DR
- LangSmith — proprietary SaaS by LangChain; tightest fit with the LangChain framework; self-hosting is Enterprise-only. Best if you're all-in on LangChain and want a managed, first-party tool.
- Langfuse — MIT open source; free self-hosting; framework-agnostic via OpenTelemetry; mature community. Best if you want open source, data residency, and prompt management.
- Both are observability dashboards. Neither lets you edit and re-run a broken run against a real model — that's the gap Langprobe fills with replay + an agent-native MCP loop.
LangSmith vs Langfuse comparison table
| Dimension | LangSmith | Langfuse |
|---|---|---|
| License | Proprietary / closed | MIT open source |
| Free self-hosting | Enterprise only | Yes |
| Managed cloud | Yes (primary) | Yes (optional) |
| Framework coupling | LangChain-first | Framework-agnostic |
| OpenTelemetry ingestion | Partial / SDK-first | Yes — OTLP/HTTP |
| Tracing & spans | Yes | Yes |
| Datasets & evals | Yes | Yes |
| Prompt management | Yes | Yes |
| Replay / re-run a broken run | No | No |
| Best for | LangChain-native teams | Open-source, self-hosted teams |
This table reflects public positioning as of mid-2026 (see DataCamp: Langfuse vs LangSmith and Langfuse's own comparison). Pricing and self-hosting terms change — confirm on each vendor's site.
How to choose
Pick LangSmith if your stack is built on LangChain/LangGraph and you want the first-party, fully managed tool with vendor support, and you don't need to self-host for free.
Pick Langfuse if you want open source you can self-host at no cost, framework independence through OpenTelemetry, strong prompt management, and a large community.
Consider a third option if your real problem is debugging, not just observing. Both tools show you a failed run; neither lets you change it and re-run it.
When neither fits: replay-first debugging
Langprobe is an open-source (Apache-2.0), self-hosted option that keeps the tracing/eval foundation both incumbents have and adds what they lack:
- Replay — edit a prompt, model, or tool config on a broken run, re-run it against a real model, and get a span-level diff plus a determinism verdict.
- Agent-native MCP surface — token-budgeted, LLM-legible reads so a coding agent can
find → read → replay → diffhands-free. - Open ingestion — plain OTLP/HTTP, LangSmith-compatible endpoints, no proprietary SDK.