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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

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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 integrates with
Ollama
vs
LLaVA

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

Choose LLaVA when…

  • •You want an open-source multimodal model for self-hosted deployment
  • •You're doing research on vision-language instruction following
  • •You need a well-documented baseline for multimodal tasks
Field
Ollama
LLaVA⚠
Category
LLM Infrastructure
Multimodal
Type
OSS
OSS
Free Tier
✓ Yes
✓ Yes
Plans
—
—
Stars
⭐ 90,000
⭐ 22,000
Health
●80 — Active
●40 — Slowing
Trajectory
— not enough data
— not enough data
Synced
today
7 days ago

Ollama

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

LLaVA

Large Language and Vision Assistant — connects a vision encoder to an LLM for instruction-following with images. OSS research model widely used as a multimodal base. Runs via Ollama.

Ollama Website ↗GitHub ↗
LLaVA Website ↗GitHub ↗

Shared Connections (1)

Moondream

Only Ollama (6)

ContinueLlamaIndexLiteLLMvLLMllama.cppLLaVA

Only LLaVA (2)

InternVL2Ollama
See full comparison in Explore →