DeepYard

Langfuse vs LangSmith

Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.

Direct Answer

Langfuse suits teams needing freemium free tier, prompt management focus, and 33,539 GitHub stars in current listing data. LangSmith suits teams needing freemium $39/mo, huggingface focus, and 1,027 GitHub stars in current listing data. This summary reflects catalog metadata only for decision support, not independent testing.

What this comparison weighs

  • Pricing and free-tier availability
  • License model and deployment fit
  • GitHub adoption and contributor depth
  • Catalog tags, integrations, and supported workflows
L

Langfuse

Open-source LLM engineering platform — traces, evals, prompt management — 23K+ stars

OSSfreemium
33.5Ktoday196
Visit GitHub
L

LangSmith

Observability, tracing, and evaluation platform for LLM applications

commercialfreemium
1.0Ktoday103
Visit GitHub
MetricLangfuseLangSmith
GitHub Stars33.5K1.0K
Contributors196103
Last CommitAug 22, 2026Aug 21, 2026
Open Issues811213
Licenseopen-sourcecommercial
Pricingfreemiumfreemium
Free TierYesYes
Categorydev-toolsdev-tools
TrendingNoNo

Choose Langfuse if you need

  • • Langfuse is the better fit when you need open-source licensing instead of commercial terms.
  • • Langfuse stands out for Prompt Management workflows that are not listed for LangSmith.
  • • Langfuse is the stronger pick when Llamaindex matters because that capability is listed only on its profile.

Choose LangSmith if you need

  • • LangSmith is the stronger pick when Huggingface matters because that capability is listed only on its profile.
  • • LangSmith is the cleaner fit if you specifically need Langchain workflows from the catalog tags.

Meaningful differences

  • • Pricing model: Langfuse is listed as freemium, while LangSmith is listed as freemium from $39/mo.
  • • License: Langfuse uses open-source, while LangSmith uses commercial.
  • • Workflow emphasis: Langfuse highlights Prompt Management, while LangSmith highlights Observability.
  • • GitHub adoption: Langfuse shows 33,539 stars versus 1,027 for LangSmith.
  • • Contributor count: Langfuse lists 196 contributors and LangSmith lists 103.

Shared capabilities

  • • Observability
  • • Tracing
  • • Evaluation
  • • Langchain
  • • Openai

Shared Tags

observabilitytracingevaluation

Only in Langfuse

prompt-managementanalyticsopen-source

Only in LangSmith

langchainllm-ops

Limitations and evidence

  • • DeepYard compares structured public metadata; this is not an independent benchmark unless a test record is shown.
  • • Signals such as stars, contributors, and last commit indicate public activity, not purchase fit or runtime quality.
  • • Pricing and feature coverage reflect the stored listing snapshot and may lag vendor changes between refreshes.

Source links

Manifest content date: 2026-08-21

About Langfuse

Langfuse is an open-source LLM engineering platform providing observability, analytics, and prompt management. Features distributed tracing for complex agent chains, evaluation scoring, prompt versioning and A/B testing, dataset management, and cost tracking. Integrates with LangChain, LlamaIndex, OpenAI SDK, and any LLM framework via OpenTelemetry.

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About LangSmith

LangSmith is LangChain's production-grade observability and evaluation platform for LLM applications. It provides full trace visibility into every LLM call, tool invocation, and chain execution — including latency, token usage, and cost. Teams use LangSmith to debug regressions, run automated evaluations against labeled datasets, and monitor live production traffic with alerting.

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