Radicalbit AI Monitoring provides a solution for monitoring machine learning models in production.
Open source
24 alternativesLudwig
Ludwig provides a low code framework for building custom LLMs, neural networks, and other AI models.
About Ludwig
Ludwig is a declarative deep learning framework for training, fine-tuning, and deploying AI models, including custom LLMs, neural networks, and other AI models. It uses a YAML configuration file and command-line commands to reduce boilerplate Python, and supports tasks such as LLM instruction tuning, alignment, PEFT adapters, quantization, vision-language fine-tuning, timeseries forecasting, tabular AI, and image segmentation. The project states Python 3.12+ is required and lists a stack including PyTorch 2.7+, Pydantic 2, Transformers 5, and Ray 2.54. It is an open-source repository hosted by the Linux Foundation AI & Data. Pricing is not stated.
Key features
- Train, fine-tune, and deploy models with YAML config and CLI commands.
- Supports LLM fine-tuning techniques: SFT, DPO, KTO, ORPO, and GRPO.
- Provides PEFT adapters including LoRA, DoRA, VeRA, PiSSA, and multi-adapter merging.
- Offers 4-bit QLoRA via bitsandbytes and torchao int4/int8/float8 quantization with QAT.
- Fine-tunes vision-language models via is_multimodal for LLaVA, Qwen2-VL, and InternVL.
- Includes Optuna hyperparameter tuning plus Ray Serve and KServe deployment shims.
Best for: Data scientists and ML engineers who want to train and fine-tune AI models with YAML configuration and CLI commands instead of writing boilerplate Python.
Good for
- Open-source repository hosted by the Linux Foundation AI & Data.
- Uses a YAML config and CLI to avoid boilerplate Python.
- Covers LLM fine-tuning, multimodal models, tabular AI, timeseries forecasting, and image segmentation.
Watch out for
- Requires Python 3.12+.
- The core pip install does not include optional dependencies needed for full or LLM feature sets.
Ludwig at a glance
- Website
- github.com/ludwig-ai/ludwig
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Ludwig FAQ
What Python version does Ludwig require?
Python 3.12+.
How do I install Ludwig for LLM fine-tuning?
Use pip install ludwig[llm]; pip install ludwig installs core, and pip install ludwig[full] installs all optional dependencies.
Can Ludwig generate a config file for a described task?
Yes. The ludwig generate_config command has an LLM write the YAML from a task description.
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