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Tool Comparison

LangSmith

LangSmith

Debug, test, and monitor your LLM apps — full trace visibility for every run.

Free-Limited
VS
Arize AI

Arize AI

ML and LLM observability — detect drift, monitor performance, debug production AI.

Free-Limited
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At a Glance

AttributeLangSmithArize AI
License / PricingFree-LimitedFree-Limited
Typeaiai
GitHub Stars
Rating4.5/54.4/5
Key Features6 listed6 listed
Integrations5 listed5 listed
Categories
AI Observability
AI Observability

Key Features

LangSmith

  • Full trace visualization for every LLM call and chain step
  • Dataset management for evaluation benchmarks
  • Automated evaluators with LLM-as-judge
  • Prompt versioning and A/B testing
  • Production monitoring with latency and error tracking
  • Human annotation workflows for labeling

Arize AI

  • Real-time feature and prediction drift detection
  • LLM tracing and span monitoring via Phoenix
  • Automated data quality checks and alerts
  • Embedding visualization for NLP and CV models
  • A/B model comparison in production
  • Integrates with MLflow, SageMaker, Vertex AI

Real-World Use Cases

LangSmith

Debug a hallucinating RAG pipeline

Add LANGSMITH_API_KEY to your environment

Arize AI

Monitor an LLM app for quality degradation

Instrument your app with the Arize SDK or OpenInference

Integrations

LangSmith

langchainllamaindexopenaianthropicpinecone

Arize AI

mlflowwandblangchainopenaikubeflow

🏆 Which should you choose?

Choose LangSmith if…

  • you're already in the AI Observability ecosystem and prefer LangSmith's workflow
Full LangSmith guide →

Choose Arize AI if…

  • you're already in the AI Observability ecosystem and prefer Arize AI's workflow
Full Arize AI guide →