GraphCanon updated Sep 30, 2026 · GitHub synced Sep 20, 2026
67views this month
Decision brief
Deeplake is an AI Data Runtime for Agents that integrates a serverless PostgreSQL with a multimodal data lake, designed for scalable retrieval and training.
Good fit when
- When you need a serverless PostgreSQL setup integrated with a multimodal data lake for efficient data retrieval and training.
- If your project involves large language models or deep learning tasks that require scalable data management.
Avoid when
- If your project does not require serverless PostgreSQL or multimodal data handling capabilities.
- When you are looking for a solution that does not support C++ as the primary language, as Deeplake is built with C++.
- Pricing:
- freemium - Deeplake offers a free tier with options for premium services, though specific pricing details are not provided in the repository.
- Requirements:
- Min 4 GB RAM; Installation can be done via pip, making it accessible for Python environments.
Observed Sep 30, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Slowing (119d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 18, 2026
- Security (OSV)
- No lockfile
- As of Sep 18, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/activeloopai/deeplakeHow it fits your stack(6)
Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.
Alternative
Integrates
Relationship graph
Optional deeper exploration of typed edges and category neighbours.
Similar tools
Same-category neighbours not already linked as typed edges.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Deeplake provides a serverless PostgreSQL with a multimodal data lake for scalable retrieval and training.
Capability facts
- Languages
- c++
Source: github.language · Sep 18, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Tags
README
🚀 How to install Deep Lake Deep Lake can be installed using pip:
For agents
This page has a .md twin and JSON over the API.