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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 →

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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 competes with
vLLM
vs
Ollama

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 Ollama when…

  • •You want to run LLMs locally on your machine
  • •Privacy or offline use cases require local models
  • •You're testing open-source models without API costs
Field
vLLM
Ollama
Category
LLM Infrastructure
LLM Infrastructure
Type
OSS
OSS
Free Tier
✓ Yes
✓ Yes
Plans
—
—
Stars
⭐ 32,000
⭐ 90,000
Health
●75 — Active
●80 — 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.

Ollama

Dead-simple local LLM serving. Pull and run models like Docker images. Compatible with the OpenAI API format.

vLLM Website ↗GitHub ↗
Ollama Website ↗GitHub ↗

Shared Connections (2)

LiteLLMLlamaIndex

Only vLLM (11)

OllamaTogether AIModalRunPodAxolotlUnslothLlamaFactoryTorchtune

Only Ollama (5)

ContinuevLLMllama.cppLLaVAMoondream
See full comparison in Explore →