Giskard-AI/giskard-oss Graph

Graph Summary

Giskard-AI/giskard-oss graph connects 3 alternatives, 8 related projects, 2 inferred dependencies, 3 deployment targets, and 3 use cases.

Nodes50

Edges417

Projects36

Dependencies35

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

Alternatives3 linked signals Related8 linked signals Dependencies2 linked signals Deployments3 linked signals Use Cases3 linked signals Categories28 linked signals Migrations3 linked signals

Project Context

giskard-oss

MaintainerGiskard-AI

LicenseApache-2.0

LanguagePython

Recent activityActive in the last week

Deployment Targets

Dependencies

Knowledge Graph

50 nodes / 417 edges

Giskard-AI/giskard-oss ↔ promptfoo/promptfooUse promptfoo/promptfoo when the user needs a llm eval project with docker, library-only, local deployment options.

Giskard-AI/giskard-oss ↔ dataelement/bishengUse dataelement/bisheng when the user needs a llm eval project with docker, local, cloud deployment options.

Giskard-AI/giskard-oss ↔ truera/trulensUse truera/trulens when the user needs a llm eval project with library-only, local, cloud deployment options.

Giskard-AI/giskard-oss ↔ vibrantlabsai/ragasUse vibrantlabsai/ragas when the user needs a llm eval project with docker, library-only, local deployment options.

Giskard-AI/giskard-oss ↔ lmnr-ai/lmnrUse lmnr-ai/lmnr when the user needs a llm eval project with docker, vercel, serverless deployment options.

Giskard-AI/giskard-oss ↔ langfuse/langfuseUse langfuse/langfuse when the user needs a llm eval project with docker, vercel, serverless deployment options.

Alternatives Network

Replacement candidates

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Giskard-AI/giskard-oss ↔ promptfoo/promptfooUse promptfoo/promptfoo when the user needs a llm eval project with docker, library-only, local deployment options.

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

Giskard-AI/giskard-oss ↔ modelscope/evalscopeUse modelscope/evalscope when the user needs a llm eval project with docker, library-only, local deployment options.

Giskard-AI/giskard-oss ↔ dataelement/bishengUse dataelement/bisheng when the user needs a llm eval project with docker, local, cloud deployment options.

Giskard-AI/giskard-oss ↔ vibrantlabsai/ragasUse vibrantlabsai/ragas when the user needs a llm eval project with docker, library-only, local deployment options.

Giskard-AI/giskard-oss ↔ Arize-ai/phoenixUse Arize-ai/phoenix 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.

Giskard-AI/giskard-oss -> promptfoo/promptfooCompatibility: medium / 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:Vector database.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.

Giskard-AI/giskard-oss -> 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:Vector database.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.

Giskard-AI/giskard-oss -> 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:Vector database.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