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123 tools · 10 stacks
GitHub

AI tools are all over the place. This is the full landscape — 123 tools across 12 categories, mapped and connected. Ready to narrow it down? Build your stack →

Stack Layers
What are you building and how is it defined?
How do you write and ship code?
How does your AI think and act?
Which models and infrastructure power it?
How do you build, observe, and extend it?
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These tools integrates with
LiteLLM
vs
vLLM

Choose LiteLLM when…

  • •You want a unified API across 100+ LLM providers
  • •You're switching between providers or running A/B tests
  • •You need fallbacks and load balancing across models

Choose vLLM when…

  • •You're serving LLMs at high throughput in production
  • •Continuous batching and PagedAttention are needed
  • •You're running your own GPU inference cluster
Field
LiteLLM
vLLM
Category
LLM Infrastructure
LLM Infrastructure
Type
OSS
OSS
Free Tier
✓ Yes
✓ Yes
Plans
Enterprise: Custom
—
Stars
⭐ 16,000
⭐ 32,000

LiteLLM

OSS proxy that normalizes 100+ LLMs to the OpenAI format. Add routing, fallbacks, caching, and cost tracking in one layer.

vLLM

Production-grade LLM inference server. PagedAttention enables high throughput and efficient KV cache memory management.

LiteLLM Website ↗GitHub ↗
vLLM Website ↗GitHub ↗

Shared Connections (3)

LlamaIndexOllamaTogether AI

Only LiteLLM (26)

ContinueAiderClaude CodeOpenHandsPlandexCrewAIAutoGenLangGraph

Only vLLM (2)

LiteLLMModal
See full comparison in Explore →