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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
LlamaFactory
vs
vLLM

Choose LlamaFactory when…

  • •You need DPO, RLHF, or reward modeling in addition to SFT
  • •You want a no-code web UI for training runs
  • •You're working across many different model families

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
LlamaFactory
vLLM
Category
Fine-tuning
LLM Infrastructure
Type
OSS
OSS
Free Tier
✓ Yes
✓ Yes
Plans
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—
Stars
⭐ 42,000
⭐ 32,000
Health
—
●75 — Active
Trajectory
— not enough data
— not enough data
Synced
—
today

LlamaFactory

Supports full fine-tuning, LoRA, QLoRA, DPO, RLHF, and reward modeling across 100+ models. Web UI (LlamaBoard) for no-code training. The most feature-complete OSS fine-tuning framework.

vLLM

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

LlamaFactory Website ↗GitHub ↗
vLLM Website ↗GitHub ↗

Shared Connections (2)

AxolotlUnsloth

Only LlamaFactory (1)

vLLM

Only vLLM (11)

LiteLLMOllamaTogether AILlamaIndexModalRunPodLlamaFactoryTorchtune
See full comparison in Explore →