Ludwig
by Predibase · open-source · Last verified 2026-03-17
Declarative deep learning framework for building and fine-tuning models with minimal code. Provides YAML-based model definition, automatic hyperparameter optimization, and support for LLM fine-tuning.
https://ludwig.ai ↗C
C—Below Average
Adoption: CQuality: AFreshness: B+Citations: CEngagement: F
Specifications
- License
- Apache-2.0
- Pricing
- open-source
- Capabilities
- declarative-ml, llm-fine-tuning, auto-hyperparameter-tuning, multi-modal-training, distributed-training
- Integrations
- hugging-face, weights-and-biases
- Use Cases
- model-fine-tuning, automl, rapid-prototyping, research
- API Available
- Yes
- SDK Languages
- python
- Deployment
- self-hosted, predibase-cloud
- Rate Limits
- N/A (open-source)
- Data Privacy
- Self-hosted, user-managed
- Tags
- automl, declarative-ml, fine-tuning, low-code
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
46Adoption
45
Quality
80
Freshness
78
Citations
48
Engagement
0