microsoft/semantic-kernel-starters Graph

Graph Summary

microsoft/semantic-kernel-starters graph connects 3 alternatives, 8 related projects, 0 inferred dependencies, 2 deployment targets, and 3 use cases.

Nodes59

Edges400

Projects40

Dependencies24

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

Alternatives3 linked signals Related8 linked signals Dependencies0 linked signals Deployments2 linked signals Use Cases3 linked signals Categories28 linked signals Migrations3 linked signals

Project Context

semantic-kernel-starters

Maintainermicrosoft

LicenseMIT

LanguageC#

Recent activityLast push 122 days ago

Deployment Targets

Dependencies

Knowledge Graph

59 nodes / 400 edges

microsoft/semantic-kernel-starters ↔ streamlit/streamlitUse streamlit/streamlit when the user needs an ai app template project with library-only, local, cloud deployment options.

microsoft/semantic-kernel-starters ↔ microsoft/onnxruntime-genaiUse microsoft/onnxruntime-genai when the user needs an ai app template project with library-only, local, cloud deployment options.

microsoft/semantic-kernel-starters ↔ CopilotKit/aimockUse CopilotKit/aimock when the user needs an ai app template project with docker, kubernetes, library-only deployment options.

microsoft/semantic-kernel-starters ↔ abetlen/llama-cpp-pythonUse abetlen/llama-cpp-python when the user needs an ai app template project with docker, library-only, local deployment options.

microsoft/semantic-kernel-starters ↔ fastapi/full-stack-fastapi-templateUse fastapi/full-stack-fastapi-template when the user needs an ai app template project with docker, local, cloud deployment options.

microsoft/semantic-kernel-starters ↔ ai-driven-dev/frameworkUse ai-driven-dev/framework when the user needs an ai app template project with local, cloud deployment options.

Alternatives Network

Replacement candidates

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microsoft/semantic-kernel-starters ↔ microsoft/semantic-kernelUse microsoft/semantic-kernel when the user needs an ai app template project with library-only, local, cloud deployment options.

microsoft/semantic-kernel-starters ↔ open-webui/open-webuiUse open-webui/open-webui when the user needs an ai app template project with docker, kubernetes, library-only deployment options.

microsoft/semantic-kernel-starters ↔ MervinPraison/PraisonAIUse MervinPraison/PraisonAI when the user needs an ai app template project with docker, library-only, local deployment options.

microsoft/semantic-kernel-starters ↔ streamlit/streamlitUse streamlit/streamlit when the user needs an ai app template project with library-only, 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.

microsoft/semantic-kernel-starters -> microsoft/semantic-kernelCompatibility: high / estimated cost: low.Shared: category:ai_app_template, deployment:local, deployment:cloud, use_case:bootstrap an AI app, use_case:start a production-ready template, use_case:learn app architecture patterns, language:C#.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.

microsoft/semantic-kernel-starters -> open-webui/open-webuiCompatibility: medium / estimated cost: medium.Shared: category:ai_app_template, deployment:local, deployment:cloud, use_case:bootstrap an AI app, use_case:start a production-ready template, use_case:learn app architecture patterns.Gaps: Language changes from C# to Python. License changes from MIT 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.

microsoft/semantic-kernel-starters -> MervinPraison/PraisonAICompatibility: medium / estimated cost: medium.Shared: category:ai_app_template, deployment:local, deployment:cloud, use_case:bootstrap an AI app, use_case:start a production-ready template, use_case:learn app architecture patterns.Gaps: Language changes from C# to Python.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