BerriAI/provider-litellm Graph

Graph Summary

BerriAI/provider-litellm graph connects 3 alternatives, 8 related projects, 2 inferred dependencies, 2 deployment targets, and 3 use cases.

Nodes63

Edges427

Projects47

Dependencies48

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

Alternatives3 linked signals Related8 linked signals Dependencies2 linked signals Deployments2 linked signals Use Cases3 linked signals Categories28 linked signals Migrations3 linked signals

Project Context

provider-litellm

MaintainerBerriAI

LicenseApache-2.0

LanguageGo

Recent activityLast push 744 days ago

Deployment Targets

Dependencies

Knowledge Graph

63 nodes / 427 edges

BerriAI/provider-litellm ↔ huggingface/transformersUse huggingface/transformers when the user needs a rag framework project with library-only, local, cloud deployment options.

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

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

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

BerriAI/provider-litellm ↔ MODSetter/SurfSenseUse MODSetter/SurfSense when the user needs a rag framework project with local, cloud deployment options.

BerriAI/provider-litellm ↔ LMCache/LMCacheUse LMCache/LMCache when the user needs a rag framework project with kubernetes, library-only, local deployment options.

Alternatives Network

Replacement candidates

JSON

BerriAI/provider-litellm ↔ infiniflow/ragflowUse infiniflow/ragflow when the user needs a rag framework project with docker, library-only, local deployment options.

BerriAI/provider-litellm ↔ QuantumNous/new-apiUse QuantumNous/new-api when the user needs a rag framework project with docker, local, cloud deployment options.

BerriAI/provider-litellm ↔ bytedance/deer-flowUse bytedance/deer-flow when the user needs a rag framework project with docker, local, cloud deployment options.

BerriAI/provider-litellm ↔ llm-d/llm-dUse llm-d/llm-d when the user needs a rag framework project with docker, kubernetes, local deployment options.

BerriAI/provider-litellm ↔ open-telemetry/opentelemetry-collector-contribUse open-telemetry/opentelemetry-collector-contrib when the user needs a rag framework project with local, cloud deployment options.

BerriAI/provider-litellm ↔ huggingface/transformersUse huggingface/transformers 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.

BerriAI/provider-litellm -> infiniflow/ragflowCompatibility: high / estimated cost: low.Shared: category:rag_framework, 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, dependency:LLM provider.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.

BerriAI/provider-litellm -> QuantumNous/new-apiCompatibility: high / estimated cost: medium.Shared: category:rag_framework, 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, dependency:LLM provider.Gaps: License changes from Apache-2.0 to AGPL-3.0.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.

BerriAI/provider-litellm -> bytedance/deer-flowCompatibility: medium / estimated cost: medium.Shared: category:rag_framework, 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, dependency:LLM provider.Gaps: Language changes from Go to Python. 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.

Use Cases