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Langfuse vs LangSmith

Compare Langfuse and LangSmith for tracing, experiments, prompts, hosting and exports.

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Both connect traces, evaluations and prompts; the main choices are the review workflow and deployment model.

Langfuse

Open-source AI engineering with self-hosting options.

LangSmith

Connected tracing, evaluation and prompt engineering.

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For conversation review alongside application traces and prompts.

At a glance

Langfuse vs LangSmith: at a glance
QuestionLangfuseLangSmith
Evaluation workflowDatasets, scores, and experimentsDatasets, evaluators, and experiments
Prompt workVersioned prompts and retrievalPrompt engineering and testing
Deployment decisionOpen-source self-hosting plus edition choicesHosted and commercial self-hosting options
Archive optionsFiltered UI and blob-storage exportsSDK queries and eligible bulk exports

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Explore conversations, traces and prompt versions with our team.

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Compare the same prompt change

Run a baseline and candidate on the same dataset. Inspect regressions and individual results, then follow each failure back to its trace.

Self-hosting has different requirements

Langfuse documents an open-source deployment path. LangSmith offers commercial self-hosting; check edition, architecture and operating costs for both.

Check the export path

Langfuse supports UI and blob-storage exports. LangSmith supports SDK queries and bulk export, with plan and signup-date eligibility for the latter.

Questions & answers

Can both work with LangChain?

Evaluate each integration against your installed versions and the operations you need to trace.

Is this an independent benchmark?

No. Lunary wrote this comparison from official documentation; no comparative performance result is claimed.

By Lunary · Documentation reviewed Sep 16, 2026

Sources & methodology (11)

Based on vendor documentation, not an independent benchmark or hands-on rating. Features and plans can change.

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