openai/simple-evals Graph

Graph Summary

openai/simple-evals graph connects 3 alternatives, 8 related projects, 1 inferred dependencies, 3 deployment targets, and 3 use cases.

Nodes69

Edges430

Projects53

Dependencies48

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

simple-evals

Maintaineropenai

LicenseMIT

LanguagePython

Recent activityLast push 149 days ago

Deployment Targets

Dependencies

Knowledge Graph

69 nodes / 430 edges

openai/simple-evals ↔ huggingface/transformersUse huggingface/transformers when the user needs a rag framework project with library-only, local, cloud deployment options.

openai/simple-evals ↔ ggml-org/llama.cppUse ggml-org/llama.cpp when the user needs a rag framework project with docker, library-only, local deployment options.

openai/simple-evals ↔ infiniflow/ragflowUse infiniflow/ragflow when the user needs a rag framework project with docker, library-only, local deployment options.

openai/simple-evals ↔ ggml-org/whisper.cppUse ggml-org/whisper.cpp when the user needs a rag framework project with docker, library-only, local deployment options.

openai/simple-evals ↔ lancedb/lancedbUse lancedb/lancedb when the user needs a rag framework project with docker, library-only, local deployment options.

openai/simple-evals ↔ NVIDIA/TensorRT-LLMUse NVIDIA/TensorRT-LLM when the user needs a rag framework project with docker, kubernetes, serverless deployment options.

Alternatives Network

Replacement candidates

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openai/simple-evals ↔ langchain-ai/langgraphUse langchain-ai/langgraph when the user needs a rag framework project with library-only, local, cloud deployment options.

openai/simple-evals ↔ bytedance/deer-flowUse bytedance/deer-flow when the user needs a rag framework project with docker, library-only, local deployment options.

openai/simple-evals ↔ LMCache/LMCacheUse LMCache/LMCache when the user needs a rag framework project with kubernetes, library-only, local deployment options.

openai/simple-evals ↔ huggingface/transformersUse huggingface/transformers when the user needs a rag framework project with library-only, local, cloud deployment options.

openai/simple-evals ↔ mem0ai/mem0Use mem0ai/mem0 when the user needs a rag framework project with docker, vercel, serverless deployment options.

openai/simple-evals ↔ stanfordnlp/dspyUse stanfordnlp/dspy when the user needs a rag framework project with library-only, local, cloud deployment options.

Migration Paths

What to verify before switching

JSON

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

openai/simple-evals -> langchain-ai/langgraphCompatibility: high / estimated cost: low.Shared: category:rag_framework, deployment:library_only, deployment:local, deployment:cloud, use_case:build RAG applications, use_case:connect private data to LLMs, use_case:index documents for retrieval, 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.

openai/simple-evals -> bytedance/deer-flowCompatibility: high / estimated cost: low.Shared: category:rag_framework, deployment:library_only, deployment:local, deployment:cloud, use_case:build RAG applications, use_case:connect private data to LLMs, use_case:index documents for retrieval, 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.

openai/simple-evals -> LMCache/LMCacheCompatibility: high / estimated cost: medium.Shared: category:rag_framework, deployment:library_only, deployment:local, deployment:cloud, use_case:build RAG applications, use_case:connect private data to LLMs, use_case:index documents for retrieval, dependency:Vector database.Gaps: License changes from MIT to Apache-2.0.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