strands-agents/evals Graph

Graph Summary

strands-agents/evals graph connects 3 alternatives, 8 related projects, 1 inferred dependencies, 3 deployment targets, and 3 use cases.

Nodes52

Edges417

Projects39

Dependencies34

Open project knowledge Find alternatives Explore related projects Explain score Compare shortlist

Alternatives3 linked signals Related8 linked signals Dependencies1 linked signals Deployments3 linked signals Use Cases3 linked signals Categories28 linked signals Migrations3 linked signals

Project Context

evals

Maintainerstrands-agents

LicenseApache-2.0

LanguagePython

Recent activityActive in the last week

Deployment Targets

Dependencies

Knowledge Graph

52 nodes / 417 edges

strands-agents/evals ↔ traccia-ai/traccia-pyUse traccia-ai/traccia-py when the user needs a llm eval project with library-only, local, cloud deployment options.

strands-agents/evals ↔ lmnr-ai/lmnrUse lmnr-ai/lmnr when the user needs a llm eval project with docker, vercel, serverless deployment options.

strands-agents/evals ↔ agentevals-dev/agentevalsUse agentevals-dev/agentevals when the user needs a llm eval project with docker, kubernetes, library-only deployment options.

strands-agents/evals ↔ aurelio-labs/semantic-routerUse aurelio-labs/semantic-router when the user needs a llm eval project with library-only, local, cloud deployment options.

strands-agents/evals ↔ promptfoo/promptfooUse promptfoo/promptfoo when the user needs a llm eval project with docker, library-only, local deployment options.

strands-agents/evals ↔ dataelement/bishengUse dataelement/bisheng when the user needs a llm eval project with docker, local, cloud deployment options.

Alternatives Network

Replacement candidates

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strands-agents/evals ↔ comet-ml/opikUse comet-ml/opik when the user needs a llm eval project with docker, kubernetes, library-only deployment options.

strands-agents/evals ↔ confident-ai/deepevalUse confident-ai/deepeval when the user needs a llm eval project with library-only, local, cloud deployment options.

strands-agents/evals ↔ modelscope/evalscopeUse modelscope/evalscope when the user needs a llm eval project with docker, library-only, local deployment options.

strands-agents/evals ↔ samugit83/redamonUse samugit83/redamon when the user needs a llm eval project with docker, local, cloud deployment options.

strands-agents/evals ↔ truera/trulensUse truera/trulens when the user needs a llm eval project with library-only, local, cloud deployment options.

strands-agents/evals ↔ lmnr-ai/lmnrUse lmnr-ai/lmnr when the user needs a llm eval project with docker, vercel, serverless deployment options.

Migration Paths

What to verify before switching

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

strands-agents/evals -> comet-ml/opikCompatibility: high / estimated cost: low.Shared: category:llm_eval, deployment:library_only, deployment:local, deployment:cloud, use_case:evaluate LLM outputs, use_case:benchmark prompts and agents, use_case:track model quality, dependency:LLM provider.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.

strands-agents/evals -> confident-ai/deepevalCompatibility: high / estimated cost: low.Shared: category:llm_eval, deployment:library_only, deployment:local, deployment:cloud, use_case:evaluate LLM outputs, use_case:benchmark prompts and agents, use_case:track model quality, dependency:LLM provider.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.

strands-agents/evals -> modelscope/evalscopeCompatibility: high / estimated cost: low.Shared: category:llm_eval, deployment:library_only, deployment:local, deployment:cloud, use_case:evaluate LLM outputs, use_case:benchmark prompts and agents, use_case:track model quality, dependency:LLM provider.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.

Use Cases