Project Graph

GoogleCloudPlatform/evalbench

A relationship view of alternatives, deployments, compatible protocols, dependencies, use cases, and categories.

Graph Summary

GoogleCloudPlatform/evalbench graph connects 3 alternatives, 8 related projects, 1 inferred dependencies, 3 deployment targets, and 3 use cases.

Nodes50
Edges417
Projects36
Dependencies35

Project Context

evalbench

MaintainerGoogleCloudPlatform
LicenseApache-2.0
LanguagePython
Recent activityActive in the last week

Deployment Targets

dockerlocalcloud

Dependencies

LLM provider

Knowledge Graph

50 nodes / 417 edges

GoogleCloudPlatfo… focus llm eval category docker deployment local deployment cloud deployment evaluate LLM … use case benchmark pro… use case track model q… use case LLM provider dependency promptfoo project opik project phoenix project evalscope project agentevals project lm-evaluation… project

Migration Paths

What to verify before switching

JSON

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

GoogleCloudPlatform/evalbench -> promptfoo/promptfooCompatibility: medium / estimated cost: medium.Shared: category:llm_eval, deployment:docker, deployment:local, deployment:cloud, use_case:evaluate LLM outputs, use_case:benchmark prompts and agents, use_case:track model quality, dependency:LLM provider.Gaps: Language changes from Python to TypeScript. License changes from Apache-2.0 to MIT.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.
GoogleCloudPlatform/evalbench -> comet-ml/opikCompatibility: high / estimated cost: low.Shared: category:llm_eval, deployment:docker, 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.
GoogleCloudPlatform/evalbench -> Arize-ai/phoenixCompatibility: high / estimated cost: medium.Shared: category:llm_eval, deployment:docker, deployment:local, use_case:evaluate LLM outputs, use_case:benchmark prompts and agents, use_case:track model quality, dependency:LLM provider, language:Python.Gaps: Deployment targets not listed by target: cloud. License changes from Apache-2.0 to NOASSERTION.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

evaluate LLM outputsbenchmark prompts and agentstrack model quality

Categories

llm eval

Alternatives

promptfoo/promptfoocomet-ml/opikArize-ai/phoenixconfident-ai/deepevalwindmill-labs/windmillmodelscope/evalscope

Related Projects

modelscope/evalscopeagentevals-dev/agentevalsEleutherAI/lm-evaluation-harnessvibrantlabsai/ragaswindmill-labs/windmilllangfuse/langfuse