Ludwig vs. Ray Comparison


Ludwig Uber AI	Ray Anyscale	+	+
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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 Develop on your laptop and then scale the same Python code elastically across hundreds of nodes or GPUs on any cloud, with no changes. Ray translates existing Python concepts to the distributed setting, allowing any serial application to be easily parallelized with minimal code changes. Easily scale compute-heavy machine learning workloads like deep learning, model serving, and hyperparameter tuning with a strong ecosystem of distributed libraries. Scale existing workloads (for eg. Pytorch) on Ray with minimal effort by tapping into integrations. Native Ray libraries, such as Ray Tune and Ray Serve, lower the effort to scale the most compute-intensive machine learning workloads, such as hyperparameter tuning, training deep learning models, and reinforcement learning. For example, get started with distributed hyperparameter tuning in just 10 lines of code. Creating distributed apps is hard. Ray handles all aspects of distributed execution.
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 Supported On-Premises 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 ML and AI Engineers, Software Developers
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 Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not Supported Free Trial Not Supported	Pricing Free Open source. Consumption-based. Free Version Supported Free Trial 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 Supported Live Online Supported In Person Supported
Company Information Uber AI Founded: 2016 United States ludwig.ai/latest/	Company Information Anyscale Founded: 2019 United States ray.io
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Categories Machine Learning Supported	Categories Deep Learning Supported Machine Learning Supported ML Model Deployment Supported

Integrations Kubernetes Supported MLflow Supported Python Supported Aim Supported Amazon EKS Not Supported Amazon SageMaker Not Supported Anyscale Not Supported Apache Airflow Not Supported Azure Kubernetes Service (AKS) Not Supported Comet Supported Dask Not Supported Docker Supported Hugging Face Supported LanceDB Not Supported Llama 2 Supported RAY Supported Snowflake Not Supported TensorBoard Supported TensorFlow Not Supported Weights & Biases Supported Show More Integrations View All 14 Integrations	Integrations Kubernetes Supported MLflow Supported Python Supported Aim Not Supported Amazon EKS Supported Amazon SageMaker Supported Anyscale Supported Apache Airflow Supported Azure Kubernetes Service (AKS) Supported Comet Not Supported Dask Supported Docker Not Supported Hugging Face Not Supported LanceDB Supported Llama 2 Not Supported RAY Not Supported Snowflake Supported TensorBoard Not Supported TensorFlow Supported Weights & Biases Not Supported Show More Integrations View All 22 Integrations
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