Ludwig vs. Predibase Comparison


Ludwig Uber AI	Predibase	+	+
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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 Declarative machine learning systems provide the best of flexibility and simplicity to enable the fastest-way to operationalize state-of-the-art models. Users focus on specifying the “what”, and the system figures out the “how”. Start with smart defaults, but iterate on parameters as much as you’d like down to the level of code. Our team pioneered declarative machine learning systems in industry, with Ludwig at Uber and Overton at Apple. Choose from our menu of prebuilt data connectors that support your databases, data warehouses, lakehouses, and object storage. Train state-of-the-art deep learning models without the pain of managing infrastructure. Automated Machine Learning that strikes the balance of flexibility and control, all in a declarative fashion. With a declarative approach, finally train and deploy models as quickly as you want.
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 Not Supported Mac Not Supported Linux Not Supported Cloud 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 Declarative Machine Learning platform for organizations
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 Pay-as-you-go pricing Free Version Not 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 Not Supported Live Online Supported In Person Not Supported
Company Information Uber AI Founded: 2016 United States ludwig.ai/latest/	Company Information Predibase United States predibase.com
Alternatives DeepSpeed Microsoft	Alternatives Amazon SageMaker Amazon
Automaton AI	Runpod
Axolotl	TensorFlow
MLBox Axel ARONIO DE ROMBLAY	Gemini Enterprise Agent Platform Google
Predibase View All	Azure Machine Learning Microsoft View All
Categories Machine Learning Supported	Categories AI Development Supported AI Fine-Tuning Supported AI Infrastructure Supported Machine Learning Supported ML Model Deployment Supported

Integrations Python Supported Aim Supported Alpaca Supported Amazon Redshift Not Supported Apache Hive Not Supported Comet Supported Discord Supported Docker Supported Hugging Face Supported Kubernetes Supported LiteLLM Not Supported Llama 2 Supported MLflow Supported MySQL Not Supported PostgreSQL Not Supported RAY Supported Snowflake Not Supported TensorBoard Supported Triton Supported Weights & Biases Supported Show More Integrations View All 14 Integrations	Integrations Python Supported Aim Not Supported Alpaca Not Supported Amazon Redshift Supported Apache Hive Supported Comet Not Supported Discord Not Supported Docker Not Supported Hugging Face Not Supported Kubernetes Not Supported LiteLLM Supported Llama 2 Not Supported MLflow Not Supported MySQL Supported PostgreSQL Supported RAY Not Supported Snowflake Supported TensorBoard Not Supported Triton Not Supported Weights & Biases Not Supported Show More Integrations View All 8 Integrations
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