Activeloop vs. Ludwig Comparison


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About Activeloop provides a continuous learning infrastructure for teams building software, agents, and data pipelines. Its core product, Deeplake, is the GPU database for agents, built around the idea that if your AI is on a GPU, your data should be too. Deeplake is designed to keep AI agents grounded, versioned, queryable, and GPU-native by combining vector and tensor data in one store, with GPU streaming to fine-tuning and a serverless Postgres interface. It gives teams a data engine for multimodal AI, allowing them to store, index, search, and stream data to models and agents. Instead of treating AI data as scattered files, embeddings, metadata, and traces across disconnected systems, Activeloop brings them into an infrastructure that can support retrieval, model development, fine-tuning, and agent memory workflows. It also includes Hivemind, where agent traces become team skills, so work solved once can be shared across the organization through trajectory capture.	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 Not Supported Linux Not Supported Cloud 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 Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Software building teams that need GPU-native data, memory, and continuous learning systems for multimodal AI applications	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 Not Supported	API Offers API 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 Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Activeloop Founded: 2018 United States www.activeloop.ai/	Company Information Uber AI Founded: 2016 United States ludwig.ai/latest/
Alternatives BenchGen	Alternatives DeepSpeed Microsoft
Tuning Engines CerebrixOS	Automaton AI
Overmind	Axolotl
Maxim	MLBox Axel ARONIO DE ROMBLAY
Dynamiq View All	Predibase View All
Categories Machine Learning Supported	Categories Machine Learning Supported

Integrations Aim Not Supported Alpaca Not Supported Comet Not Supported Deeplake 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 Show More Integrations View All 1 Integration	Integrations Aim Supported Alpaca Supported Comet Supported Deeplake Not 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 Show More Integrations View All 14 Integrations
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