huggingface/cadgenbench Graph

Graph Summary

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

Nodes54

Edges419

Projects40

Dependencies35

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

cadgenbench

Maintainerhuggingface

LicenseApache-2.0

LanguagePython

Recent activityActive in the last week

Deployment Targets

Dependencies

Knowledge Graph

54 nodes / 419 edges

huggingface/cadgenbench ↔ strands-agents/evalsUse strands-agents/evals when the user needs a llm eval project with library-only, local, cloud deployment options.

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

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

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

huggingface/cadgenbench ↔ NVIDIA/garakUse NVIDIA/garak when the user needs a llm eval project with library-only, local, cloud deployment options.

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

Alternatives Network

Replacement candidates

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huggingface/cadgenbench ↔ huggingface/lightevalUse huggingface/lighteval when the user needs a llm eval project with library-only, local, cloud deployment options.

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

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

huggingface/cadgenbench ↔ Arize-ai/phoenixUse Arize-ai/phoenix when the user needs a llm eval project with docker, vercel, serverless deployment options.

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

huggingface/cadgenbench ↔ samugit83/redamonUse samugit83/redamon when the user needs a llm eval 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.

huggingface/cadgenbench -> huggingface/lightevalCompatibility: high / estimated cost: medium.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: 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.

huggingface/cadgenbench -> microsoft/superbenchmarkCompatibility: unknown / estimated cost: unknown.Shared: none indexed.Gaps: Target project is not indexed in the current corpus.Validate: Index or inspect the target repository before planning a migration. Compare API, configuration, license, and dependency requirements. Run the target project's minimal example in the requested deployment.

huggingface/cadgenbench -> Purewhiter/mobilegymCompatibility: unknown / estimated cost: unknown.Shared: none indexed.Gaps: Target project is not indexed in the current corpus.Validate: Index or inspect the target repository before planning a migration. Compare API, configuration, license, and dependency requirements. Run the target project's minimal example in the requested deployment.

Use Cases