Core ML vs. Ludwig Comparison


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About Core ML applies a machine learning algorithm to a set of training data to create a model. You use a model to make predictions based on new input data. Models can accomplish a wide variety of tasks that would be difficult or impractical to write in code. For example, you can train a model to categorize photos or detect specific objects within a photo directly from its pixels. After you create the model, integrate it in your app and deploy it on the user’s device. Your app uses Core ML APIs and user data to make predictions and to train or fine-tune the model. You can build and train a model with the Create ML app bundled with Xcode. Models trained using Create ML are in the Core ML model format and are ready to use in your app. Alternatively, you can use a wide variety of other machine learning libraries and then use Core ML Tools to convert the model into the Core ML format. Once a model is on a user’s device, you can use Core ML to retrain or fine-tune it on-device.	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.
Platforms Supported Windows Not Supported Mac Supported Linux Not Supported Cloud Not Supported On-Premises Not Supported iPhone Supported iPad Supported Android Not Supported Chromebook Not Supported	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
Audience Developers in search of a solution to integrate machine learning models into their apps	Audience Developers interested in a low-code framework to build custom AI models like LLMs and other deep neural networks
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Not 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 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 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 Apple United States developer.apple.com/documentation/coreml	Company Information Uber AI Founded: 2016 United States ludwig.ai/latest/
Alternatives Create ML Apple	Alternatives DeepSpeed Microsoft
Ultralytics	Automaton AI
Xilinx	Axolotl
Replicate	MLBox Axel ARONIO DE ROMBLAY
Virtual Face View All	Predibase View All
Categories Development Frameworks Supported Machine Learning Supported	Categories Machine Learning Supported

Integrations Aim Not Supported Alpaca Not Supported Apple tvOS Supported Apple watchOS Supported Comet Not Supported Discord Not Supported Docker Not Supported Hugging Face Not Supported Kubernetes Not Supported Llama 2 Not Supported MLflow Not Supported Python Not Supported RAY Not Supported TensorBoard Not Supported Triton Not Supported Weights & Biases Not Supported Xcode Supported Show More Integrations View All 3 Integrations	Integrations Aim Supported Alpaca Supported Apple tvOS Not Supported Apple watchOS Not Supported Comet Supported Discord Supported Docker Supported Hugging Face Supported Kubernetes Supported Llama 2 Supported MLflow Supported Python Supported RAY Supported TensorBoard Supported Triton Supported Weights & Biases Supported Xcode Not Supported Show More Integrations View All 14 Integrations
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