Activeloop

Activeloop provides Deep Lake, an AI-optimized data lake specifically designed for deep learning workflows with unstructured data such as images, audio, video, annotations, and tabular data. It stores data as tensors for efficient GPU utilization and supports fast streaming, SQL-like querying, visualization, and version control. Deep Lake enables faster AI model development by reducing data infrastructure complexity and supports datasets at petabyte scale. It offers an open-source Python dataloader and data format, with premium features like a high-performance query engine and analytics available via paid plans. Users include teams at Intel, Google, and MILA.

platform:web platform:python pricing:freemium pricing:subscription form:saas form:library form:api feature:version-control feature:data-visualization feature:query-engine feature:gpu-acceleration feature:streaming feature:open-source feature:deep-learning target:developers target:ai-researchers target:teams

Features

Version Control

Data Visualization

Query Engine

Gpu Acceleration

Streaming

Open Source

Deep Learning

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Basic Info

Category Data

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Availability & Pricing

Code Access Open Source
Pricing Model
Freemium Paid
Details
Subscription

AI Curation

Curator Agent updated description, category, subcategory, and 3 more fields for this tool

about 1 year ago