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207 tools · 25 stacks
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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 →

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 competes with
Axolotl
vs
Unsloth

Choose Axolotl when…

  • •You want a config-driven OSS fine-tuning pipeline
  • •You need support for LoRA, QLoRA, and FSDP in one tool
  • •You prefer HuggingFace-native workflows

Choose Unsloth when…

  • •You want the fastest OSS LoRA fine-tuning with minimal GPU memory
  • •You're fine-tuning Llama, Mistral, or Gemma models
  • •Memory constraints are the bottleneck in your training setup
Field
Axolotl
Unsloth
Category
Fine-tuning
Fine-tuning
Type
OSS
OSS
Free Tier
✓ Yes
✓ Yes
Plans
—
Pro: $29/mo
Stars
⭐ 9,800
⭐ 32,000
Health
—
—

Axolotl

OSS fine-tuning framework built on HuggingFace Transformers. Supports LoRA, QLoRA, full fine-tuning, and FSDP. Config-driven — define your training run in a YAML file.

Unsloth

Dramatically speeds up LoRA and QLoRA fine-tuning by rewriting GPU kernels. Compatible with HuggingFace and works with Llama, Mistral, Gemma, and more. No accuracy loss.

Axolotl Website ↗GitHub ↗
Unsloth Website ↗GitHub ↗

Shared Connections (2)

LlamaFactoryvLLM

Only Axolotl (1)

Unsloth

Only Unsloth (3)

AxolotlTorchtunePredibase
See full comparison in Explore →