Project Title

deeplake — Database for AI, Store and Query Vectors, Images, Texts, Videos, and More

Overview

Deeplake is an AI-focused database designed to store, query, and visualize various AI data types, including vectors, images, texts, and videos. It is optimized for deep-learning applications and integrates seamlessly with popular tools like LangChain and LlamaIndex. Deeplake simplifies the deployment of enterprise-grade LLM-based products by offering storage for all data types, querying and vector search, data streaming, and data versioning.

Key Features

Multi-Cloud Support (S3, GCP, Azure)
Native Compression with Lazy NumPy-like Indexing
Dataloaders for Popular Deep Learning Frameworks (Pytorch, TensorFlow)
Integrations with Powerful Tools (LangChain, LlamaIndex, Weights & Biases)

Use Cases

Storing and searching data plus vectors while building LLM applications
Managing datasets while training deep learning models
Data streaming while training models at scale
Data versioning and lineage

Advantages

Serverless architecture for scalability
Supports data of any size and type
Enables storage of all data in one place in your own cloud
Used by major organizations like Intel, Bayer Radiology, and Yale

Limitations / Considerations

License information is currently unknown
May require specific expertise to fully leverage its capabilities with deep learning frameworks

Dask: A parallel computing library that integrates with NumPy and pandas, but does not focus on AI data storage and querying.
Pachyderm: A data science platform that provides data versioning and lineage, but is not specifically tailored for AI data types.
Zilliz: Focuses on vector databases and AI, but does not offer the same range of data storage and querying capabilities as Deeplake.

Basic Information

GitHub: https://github.com/activeloopai/deeplake
Stars: 8,854
License: Unknown
Last Commit: 2025-10-01

📊 Project Information

Project Name: deeplake
GitHub URL: https://github.com/activeloopai/deeplake
Programming Language: Python
⭐ Stars: 8,854
🍴 Forks: 681
📅 Created: 2019-08-09
🔄 Last Updated: 2025-10-01

🏷️ Project Topics

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📚 Documentation

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deeplake

Project Description