raga-ai-hub/RagaAI-Catalyst Graph

Graph Summary

raga-ai-hub/RagaAI-Catalyst graph connects 3 alternatives, 8 related projects, 2 inferred dependencies, 3 deployment targets, and 3 use cases.

Nodes51

Edges416

Projects37

Dependencies36

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

RagaAI-Catalyst

Maintainerraga-ai-hub

LicenseApache-2.0

LanguagePython

Recent activityLast push 270 days ago

Deployment Targets

Dependencies

Knowledge Graph

51 nodes / 416 edges

raga-ai-hub/RagaAI-Catalyst ↔ promptfoo/promptfooUse promptfoo/promptfoo when the user needs a llm eval project with docker, library-only, local deployment options.

raga-ai-hub/RagaAI-Catalyst ↔ lmnr-ai/lmnrUse lmnr-ai/lmnr when the user needs a llm eval project with docker, vercel, serverless deployment options.

raga-ai-hub/RagaAI-Catalyst ↔ modelscope/evalscopeUse modelscope/evalscope when the user needs a llm eval project with docker, library-only, local deployment options.

raga-ai-hub/RagaAI-Catalyst ↔ traccia-ai/traccia-pyUse traccia-ai/traccia-py when the user needs a llm eval project with library-only, local, cloud deployment options.

raga-ai-hub/RagaAI-Catalyst ↔ vibrantlabsai/ragasUse vibrantlabsai/ragas when the user needs a llm eval project with docker, library-only, local deployment options.

raga-ai-hub/RagaAI-Catalyst ↔ strands-agents/evalsUse strands-agents/evals when the user needs a llm eval project with library-only, local, cloud deployment options.

Alternatives Network

Replacement candidates

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raga-ai-hub/RagaAI-Catalyst ↔ comet-ml/opikUse comet-ml/opik when the user needs a llm eval project with docker, kubernetes, library-only deployment options.

raga-ai-hub/RagaAI-Catalyst ↔ Arize-ai/phoenixUse Arize-ai/phoenix when the user needs a llm eval project with docker, vercel, serverless deployment options.

raga-ai-hub/RagaAI-Catalyst ↔ dataelement/bishengUse dataelement/bisheng when the user needs a llm eval project with docker, local, cloud deployment options.

raga-ai-hub/RagaAI-Catalyst ↔ Giskard-AI/giskard-ossUse Giskard-AI/giskard-oss when the user needs a llm eval project with library-only, local, cloud deployment options.

raga-ai-hub/RagaAI-Catalyst ↔ vibrantlabsai/ragasUse vibrantlabsai/ragas when the user needs a llm eval project with docker, library-only, local deployment options.

raga-ai-hub/RagaAI-Catalyst ↔ modelscope/evalscopeUse modelscope/evalscope when the user needs a llm eval project with docker, library-only, local deployment options.

Migration Paths

What to verify before switching

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

raga-ai-hub/RagaAI-Catalyst -> 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.

raga-ai-hub/RagaAI-Catalyst -> Arize-ai/phoenixCompatibility: high / estimated cost: medium.Shared: category:llm_eval, deployment:library_only, 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.

raga-ai-hub/RagaAI-Catalyst -> dataelement/bishengCompatibility: high / estimated cost: medium.Shared: category:llm_eval, deployment:local, deployment:cloud, use_case:evaluate LLM outputs, use_case:benchmark prompts and agents, use_case:track model quality, dependency:Vector database, dependency:LLM provider.Gaps: Deployment targets not listed by target: library_only.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