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207 tools · 25 stacks

AI tools are all over the place. This is the full landscape — 207 tools across 17 categories, mapped and connected. Ready to narrow it down? Build your stack →

Team size

Budget

Use case

Stage

Cluster

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?
These tools integrates with
vLLM
vs
LiteLLM

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

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
Field
vLLM
LiteLLM
Category
LLM Infrastructure
LLM Infrastructure
Type
OSS
OSS
Free Tier
✓ Yes
✓ Yes
Plans
—
Enterprise: Custom
Stars
⭐ 32,000
⭐ 16,000
Health
●75 — Active
●75 — Active
Trajectory
— not enough data
— not enough data
Synced
today
today

vLLM

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

LiteLLM

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

vLLM Website ↗GitHub ↗
LiteLLM Website ↗GitHub ↗

Shared Connections (3)

OllamaTogether AILlamaIndex

Only vLLM (10)

LiteLLMModalRunPodAxolotlUnslothLlamaFactoryTorchtunePredibase

Only LiteLLM (29)

ContinueAiderClaude CodeOpenHandsPlandexCrewAIAutoGenLangGraph
See full comparison in Explore →