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Ludwig Alternatives

Declarative deep learning framework for building and fine-tuning models with YAML configuration

Ludwig is a declarative, low-code framework for building, training, and fine-tuning AI models using YAML configuration instead of writing training code.

Explore 15 alternatives to Ludwig across 1 category. Updated September 2026.

Top Ludwig alternatives at a glance

LLaMA-Factory. Open-source fine-tuning framework for 100+ LLMs with a web UI
Unsloth. Fine-tune LLMs up to 30x faster with 90% less memory usage
TRL. Hugging Face library for training language models with RLHF, SFT, and DPO
Axolotl. Open-source toolkit for fine-tuning LLMs with a single YAML config across the full training pipeline
torchtune. PyTorch-native fine-tuning library from Meta, no longer actively maintained (development wound down in 2025)

Compare Ludwig with its alternatives

Product	Pricing Model	Free Tier	Open Source	Hosting	HQ
Ludwig	Free	✓	✓	Self-hosted	🇺🇸 United States
LLaMA-Factory	Free	✓	✓	Self-hosted	🇺🇸 United States
Unsloth	—	✓	✓ APACHE-2.0	—	🇺🇸 United States
TRL	Free	✓	✓	Self-hosted	🇺🇸 United States
Axolotl	Free	✓	✓	Self-hosted	🇺🇸 United States
torchtune	Free	✓	✓ BSD-3-CLAUSE	Self-hosted	🇺🇸 United States
Prem AI	Contact Sales	—	—	Cloud + Self-hosted	🇨🇭 Switzerland
Hugging Face	Pay-per-use	✓	✓	Cloud	🇺🇸 United States
OpenAI	Pay-per-use	✓	—	Cloud	🇺🇸 United States
Replicate	Pay-per-use	—	—	Cloud	🇺🇸 United States
Together AI	Pay-per-use	—	—	Cloud + Self-hosted	🇺🇸 United States
Kontinent	Pay-per-use	—	—	Cloud	🇩🇪 Germany
Klu	Freemium	✓	—	Cloud + Self-hosted	🇺🇸 United States
FinetuneDB	Freemium	—	—	Cloud	🇺🇸 United States
Amazon Bedrock	Pay-per-use	✓	—	Cloud	🇺🇸 United States
Anyscale	—	—	—	—	🇺🇸 United States