---
title: "deeplake vs llm-app"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/activeloopai-deeplake-vs-pathwaycom-llm-app"
tools: ["activeloopai-deeplake", "pathwaycom-llm-app"]
---

# deeplake vs llm-app

Neutral, constraint-first comparison with live GitHub stats.

| | [deeplake](/tools/activeloopai-deeplake.md) | [llm-app](/tools/pathwaycom-llm-app.md) |
| --- | --- | --- |
| Tagline | Deeplake: AI Data Runtime for Agents | Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. |
| Stars | 9,205 | 59,096 |
| Forks | 721 | 1,431 |
| Open issues | 69 | 10 |
| Language | C++ | Jupyter Notebook |
| License | Apache-2.0 | MIT |
| Categories | Model Training, Data & Retrieval, Vector Databases | Data & Retrieval, LLM Frameworks |

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=activeloopai-deeplake`](/api/graphcanon/graph?tool=activeloopai-deeplake)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_