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deeplake

activeloopai/deeplake

AI Data Runtime for Agents with scalable retrieval and training features

GitHub Website

GraphCanon updated 4d · GitHub synced 4d

9.2k stars721 forksLast push 3mo C++ Apache-2.0

Decision brief

Deeplake is an AI Data Runtime for Agents designed with serverless Postgres and multimodal data lake support, targeting scalable retrieval and training capabilities.

Good fit when

When you are developing applications that require seamless integration with AI agents, as Deeplake supports agent-centric design.
For projects that involve large language model (LLM) support or extensive computer vision tasks that need efficient data handling under a unified filesystem-like interface.

Avoid when

If your project does not benefit from an agent-centric architecture and you primarily require traditional database operations without multimodal features.
When cost control is critical and serverless PostgreSQL might introduce variable costs compared to on-premises solutions for data retrieval and training.

Pricing:: unknown - Pricing details are not specified for Deeplake's public repository.
Requirements:: Deeplake can be installed using pip, making it accessible via the command `pip install deeplake`.

Observed Jul 9, 2026 · Source: enrich:decision_facts

deeplake alternatives Trust report

deeplake vs qdrant deeplake vs mempalace deeplake vs databend

Verify the decision

Maintenance and security

Full trust report

Maintenance: Steady (87d since push); As of 4d
Provenance: Not a fork · Organization account; As of 4d
Security (OSV): No lockfile; As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

git clone https://github.com/activeloopai/deeplake

How it fits your stack(6)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Alternative

mempalace

Both Deeplake and mempalace provide components for managing AI agent memory, with Deeplake focused on a serverless PostgreSQL and multimodal data lake approach compared to mempalace’s broader benchmarked open-source angle.

alternative

milvus

Deeplake and Milvus both serve as vector databases, though Deeplake adds an emphasis on being a multimodal data lake, while Milvus focuses more narrowly on large-scale vector search.

alternative

qdrant

Deeplake and Qdrant both provide scalable vector database capabilities for AI applications, though Deeplake extends this with support for multimodal data lakes.

alternative

Integrates

langflow

Deeplake, a scalable AI data runtime that supports multimodal datasets and integrates seamlessly with AI agents, has an 'integrates with' relationship to Langflow because Langflow provides a platform for building and deploying AI workflows that can leverage Deeplake's data retrieval and training capabilities through its API/MCP server features.

integrates

mindshub

Deeplake as an AI Data Runtime may integrate with MindsDB for delegating tasks and automating operations, providing a comprehensive AI data management solution.

integrates

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

AlternativeIntegratesRelated

AlternativeIntegratesRelated

Similar tools

Same-category neighbours not already linked as typed edges.

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

DeeplargeLake provides a serverless Postgres with multimodal datalake capabilities, supporting large language models and various AI frameworks including PyTorch.

Capability facts

Languages: c++
Source: github.language · Aug 17, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Aug 17, 2026)

pip install deeplake

Source link

README

🚀 How to install Deep Lake

Deep Lake can be installed using pip:

pip install deeplake

For agents

This page has a .md twin and JSON over the API.

/tools/activeloopai-deeplake.md GET /api/graphcanon/tools/activeloopai-deeplake GET /api/graphcanon/graph?tool=activeloopai-deeplake

Install

git clone https://github.com/activeloopai/deeplake

Explore

deeplake alternatives Data & Retrieval category All comparisons Stack workflows

deeplake

Decision brief

Good fit when

Avoid when

Verify the decision

Maintenance and security

Install

How it fits your stack(6)

Alternative

Integrates

Relationship graph

Similar tools

Evidence and technical details

Overview

Capability facts

Categories

Compatibility

Tags

README

🚀 How to install Deep Lake

For agents