langchain-ai/langsmith-sdk Graph

Graph Summary

langchain-ai/langsmith-sdk graph connects 3 alternatives, 8 related projects, 0 inferred dependencies, 3 deployment targets, and 3 use cases.

Nodes46

Edges398

Projects33

Dependencies19

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Alternatives3 linked signals Related8 linked signals Dependencies0 linked signals Deployments3 linked signals Use Cases3 linked signals Categories28 linked signals Migrations3 linked signals

Project Context

langsmith-sdk

Maintainerlangchain-ai

LicenseMIT

LanguagePython

Recent activityActive in the last month

Deployment Targets

Dependencies

Knowledge Graph

46 nodes / 398 edges

langchain-ai/langsmith-sdk ↔ openlit/openlitUse openlit/openlit when the user needs an ai observability project with docker, library-only, local deployment options.

langchain-ai/langsmith-sdk ↔ monoscope-tech/monoscopeUse monoscope-tech/monoscope when the user needs an ai observability project with docker, kubernetes, library-only deployment options.

langchain-ai/langsmith-sdk ↔ eunomia-bpf/agentsightUse eunomia-bpf/agentsight when the user needs an ai observability project with docker, library-only, local deployment options.

langchain-ai/langsmith-sdk ↔ olemeyer/rocketplaneIOUse olemeyer/rocketplaneIO when the user needs an ai observability project with docker, kubernetes, library-only deployment options.

langchain-ai/langsmith-sdk ↔ ray-project/rayUse ray-project/ray when the user needs an ai observability project with docker, kubernetes, library-only deployment options.

langchain-ai/langsmith-sdk ↔ traceloop/hubUse traceloop/hub when the user needs an ai observability project with docker, kubernetes, library-only deployment options.

Alternatives Network

Replacement candidates

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langchain-ai/langsmith-sdk ↔ pydantic/logfireUse pydantic/logfire when the user needs an ai observability project with library-only, local, cloud deployment options.

langchain-ai/langsmith-sdk ↔ wandb/weaveUse wandb/weave when the user needs an ai observability project with library-only, local, cloud deployment options.

langchain-ai/langsmith-sdk ↔ traceloop/openllmetryUse traceloop/openllmetry when the user needs an ai observability project with library-only, local, cloud deployment options.

langchain-ai/langsmith-sdk ↔ ray-project/rayUse ray-project/ray when the user needs an ai observability project with docker, kubernetes, library-only deployment options.

langchain-ai/langsmith-sdk ↔ openlit/openlitUse openlit/openlit when the user needs an ai observability project with docker, library-only, local deployment options.

langchain-ai/langsmith-sdk ↔ jaegertracing/jaegerUse jaegertracing/jaeger when the user needs an ai observability project with docker, local, cloud deployment options.

Migration Paths

What to verify before switching

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These paths are evidence-backed heuristics, not drop-in compatibility claims.

langchain-ai/langsmith-sdk -> pydantic/logfireCompatibility: high / estimated cost: low.Shared: category:ai_observability, deployment:library_only, deployment:local, deployment:cloud, use_case:trace LLM applications, use_case:monitor agent behavior, use_case:debug production AI systems, language:Python.Gaps: No indexed gap; still run the validation steps.Validate: Compare API, configuration, license, and dependency requirements. Run the target project's minimal example or test suite. Verify deployment, persistence, and tool-execution behavior in the requested runtime.

langchain-ai/langsmith-sdk -> wandb/weaveCompatibility: high / estimated cost: medium.Shared: category:ai_observability, deployment:library_only, deployment:local, deployment:cloud, use_case:trace LLM applications, use_case:monitor agent behavior, use_case:debug production AI systems, language:Python.Gaps: License changes from MIT to Apache-2.0.Validate: Review license obligations before migrating production code. Compare API, configuration, license, and dependency requirements. Run the target project's minimal example or test suite. Verify deployment, persistence, and tool-execution behavior in the requested runtime.

langchain-ai/langsmith-sdk -> traceloop/openllmetryCompatibility: high / estimated cost: medium.Shared: category:ai_observability, deployment:library_only, deployment:local, deployment:cloud, use_case:trace LLM applications, use_case:monitor agent behavior, use_case:debug production AI systems, language:Python.Gaps: License changes from MIT to Apache-2.0.Validate: Review license obligations before migrating production code. Compare API, configuration, license, and dependency requirements. Run the target project's minimal example or test suite. Verify deployment, persistence, and tool-execution behavior in the requested runtime.

Use Cases