---
title: "llm-universe vs ollama"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/datawhalechina-llm-universe-vs-ollama-ollama"
tools: ["datawhalechina-llm-universe", "ollama-ollama"]
---

# llm-universe vs ollama

Neutral, constraint-first comparison with live GitHub stats.

| | [llm-universe](/tools/datawhalechina-llm-universe.md) | [ollama](/tools/ollama-ollama.md) |
| --- | --- | --- |
| Tagline | 面向初学者的大模型应用开发教程 | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. |
| Stars | 13,423 | 175,664 |
| Forks | 1,370 | 16,872 |
| Open issues | 15 | 3,378 |
| Language | Jupyter Notebook | Go |
| License | - | MIT |
| Categories | Model Training, LLM Frameworks, Developer Tools | AI Agents, LLM Frameworks |

---

**Machine-readable endpoints**

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