---
title: "OpenPipe vs vllm"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/openpipe-openpipe-vs-vllm-project-vllm"
tools: ["openpipe-openpipe", "vllm-project-vllm"]
---

# OpenPipe vs vllm

Neutral, constraint-first comparison with live GitHub stats.

| | [OpenPipe](/tools/openpipe-openpipe.md) | [vllm](/tools/vllm-project-vllm.md) |
| --- | --- | --- |
| Tagline | Turn expensive prompts into cheap fine-tuned models | A high-throughput and memory-efficient inference and serving engine for LLMs |
| Stars | 2,813 | 85,621 |
| Forks | 175 | 19,078 |
| Open issues | 8 | 5,598 |
| Language | TypeScript | Python |
| License | Apache-2.0 | Apache-2.0 |
| Categories | Model Training, LLM Frameworks | Model Training, Inference & Serving |

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=openpipe-openpipe`](/api/graphcanon/graph?tool=openpipe-openpipe)
- 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/_