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

# llmflows vs vllm

Neutral, constraint-first comparison with live GitHub stats.

| | [llmflows](/tools/stoyan-stoyanov-llmflows.md) | [vllm](/tools/vllm-project-vllm.md) |
| --- | --- | --- |
| Tagline | Simple, Explicit and Transparent LLM Applications | A high-throughput and memory-efficient inference and serving engine for LLMs |
| Stars | 706 | 85,621 |
| Forks | 35 | 19,078 |
| Open issues | 19 | 5,598 |
| Language | Python | Python |
| License | MIT | Apache-2.0 |
| Categories | Inference & Serving, Developer Tools | Model Training, Inference & Serving |

**Typed relationship:** llmflows _(integrates with)_ vllm

---

**Machine-readable endpoints**

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