Ludwig vs. MLBox Comparison


Ludwig Uber AI	MLBox Axel ARONIO DE ROMBLAY	+	+
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About Ludwig is a low-code framework for building custom AI models like LLMs and other deep neural networks. Build custom models with ease: a declarative YAML configuration file is all you need to train a state-of-the-art LLM on your data. Support for multi-task and multi-modality learning. Comprehensive config validation detects invalid parameter combinations and prevents runtime failures. Optimized for scale and efficiency: automatic batch size selection, distributed training (DDP, DeepSpeed), parameter efficient fine-tuning (PEFT), 4-bit quantization (QLoRA), and larger-than-memory datasets. Expert level control: retain full control of your models down to the activation functions. Support for hyperparameter optimization, explainability, and rich metric visualizations. Modular and extensible: experiment with different model architectures, tasks, features, and modalities with just a few parameter changes in the config. Think building blocks for deep learning.	About MLBox is a powerful Automated Machine Learning python library. It provides the following features fast reading and distributed data preprocessing/cleaning/formatting, highly robust feature selection and leak detection, accurate hyper-parameter optimization in high-dimensional space, state-of-the art predictive models for classification and regression (Deep Learning, Stacking, LightGBM), and prediction with models interpretation. MLBox main package contains 3 sub-packages: preprocessing, optimization and prediction. Each one of them are respectively aimed at reading and preprocessing data, testing or optimizing a wide range of learners and predicting the target on a test dataset.
Platforms Supported Windows Not Supported Mac Not Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Developers interested in a low-code framework to build custom AI models like LLMs and other deep neural networks	Audience Individuals looking for an automated Machine Learning Python library
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Not Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Not Supported
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Pricing No information available. Free Version Not Supported Free Trial Not Supported	Pricing No information available. Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Uber AI Founded: 2016 United States ludwig.ai/latest/	Company Information Axel ARONIO DE ROMBLAY Founded: 2017 mlbox.readthedocs.io/en/latest/
Alternatives DeepSpeed Microsoft	Alternatives MyDataModels TADA MyDataModels
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Axolotl	Baidu AI Cloud Machine Learning (BML) Baidu
MLBox Axel ARONIO DE ROMBLAY	Ensemble Dark Matter Ensemble
Predibase View All	Elham.ai View All
Categories Machine Learning Supported	Categories Machine Learning Supported

Integrations Python Supported Aim Supported Alpaca Supported Comet Supported Discord Supported Docker Supported GitHub Not Supported Hugging Face Supported Kubernetes Supported Llama 2 Supported MLflow Supported RAY Supported TensorBoard Supported Triton Supported Weights & Biases Supported Show More Integrations View All 14 Integrations	Integrations Python Supported Aim Not Supported Alpaca Not Supported Comet Not Supported Discord Not Supported Docker Not Supported GitHub Supported Hugging Face Not Supported Kubernetes Not Supported Llama 2 Not Supported MLflow Not Supported RAY Not Supported TensorBoard Not Supported Triton Not Supported Weights & Biases Not Supported Show More Integrations View All 2 Integrations
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