---
title: "GPT-vup vs awesome-LLM-resources"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/jiran214-gpt-vup-vs-wangrongsheng-awesome-llm-resources"
tools: ["jiran214-gpt-vup", "wangrongsheng-awesome-llm-resources"]
---

# GPT-vup vs awesome-LLM-resources

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick GPT-vup when tags unique to GPT-vup: embeddings, python, douyin, bilibili; pick awesome-LLM-resources when tags unique to awesome-LLM-resources: llama, mistral, llm, course.

[GPT-vup](https://github.com/jiran214/GPT-vup) reports 1.3k GitHub stars, 187 forks, and 24 open issues, last pushed Oct 13, 2023. [awesome-LLM-resources](https://github.com/WangRongsheng/awesome-LLM-resources) has 8.7k stars, 924 forks, and 39 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [GPT-vup's repository](https://github.com/jiran214/GPT-vup) and [awesome-LLM-resources's repository](https://github.com/WangRongsheng/awesome-LLM-resources).

| | [GPT-vup](/tools/jiran214-gpt-vup.md) | [awesome-LLM-resources](/tools/wangrongsheng-awesome-llm-resources.md) |
| --- | --- | --- |
| Tagline | GPT-vup BIliBili | 抖音 | AI | 虚拟主播 | 🧑🚀 全世界最好的LLM资料总结（多模态生成、Agent、辅助编程、AI审稿、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型） | Summary of the world's best LLM resources. |
| Stars | 1,268 | 8,668 |
| Forks | 187 | 924 |
| Open issues | 24 | 39 |
| Language | Python | - |
| Adopt for | - | awesome-LLM-resources offers a curated and comprehensive list of resources related to Large Language Models (LLMs), including materials for specialized areas like RAG (Retrieval-Augmented Generation) and agentic RL, as a |
| Persona | - | - |
| Runtime | - | - |
| License | - | Apache-2.0 |
| Categories | Vector Databases | Vector Databases, AI Agents, LLM Frameworks |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [GPT-vup](/tools/jiran214-gpt-vup.md) | [awesome-LLM-resources](/tools/wangrongsheng-awesome-llm-resources.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Very active (96%) |
| Days since push | 1002d | 1d |
| Open issues (now) | 24 | 39 |
| Full report | [trust report](/tools/jiran214-gpt-vup/trust.md) | [trust report](/tools/wangrongsheng-awesome-llm-resources/trust.md) |

## Decision facts: awesome-LLM-resources

- **Adopt for:** awesome-LLM-resources offers a curated and comprehensive list of resources related to Large Language Models (LLMs), including materials for specialized areas like RAG (Retrieval-Augmented Generation) and agentic RL, as a

## Choose when

### Choose GPT-vup if…

- Tags unique to GPT-vup: embeddings, python, douyin, bilibili.
- Leaner open-issue backlog (24).

### Choose awesome-LLM-resources if…

- Tags unique to awesome-LLM-resources: llama, mistral, llm, course.
- Also covers AI Agents, LLM Frameworks.
- - It's ideal when you seek an exhaustive and up-to-date compilation covering extensive knowledge points in LLM technologies.

## When NOT to use GPT-vup

- Last GitHub push was 1002 days ago (dormant maintenance, Oct 13, 2023). Validate activity before betting a new project on GPT-vup.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

## When NOT to use awesome-LLM-resources

- - Avoid using this resource if you specifically need detailed step-by-step guides or hands-on tutorials that focus deeply on a single technology rather than broad coverage.
- - It might not be the best choice when you are looking for resources in languages other than English, especially given its extensive English content.

## Common questions

### What is the difference between GPT-vup and awesome-LLM-resources?

GPT-vup: GPT-vup BIliBili | 抖音 | AI | 虚拟主播. awesome-LLM-resources: 🧑🚀 全世界最好的LLM资料总结（多模态生成、Agent、辅助编程、AI审稿、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型） | Summary of the world's best LLM resources.. See the comparison table for live GitHub stats and shared categories.

### When should I choose GPT-vup over awesome-LLM-resources?

Choose GPT-vup over awesome-LLM-resources when Tags unique to GPT-vup: embeddings, python, douyin, bilibili; Leaner open-issue backlog (24).

### When should I choose awesome-LLM-resources over GPT-vup?

Choose awesome-LLM-resources over GPT-vup when Tags unique to awesome-LLM-resources: llama, mistral, llm, course; Also covers AI Agents, LLM Frameworks; - It's ideal when you seek an exhaustive and up-to-date compilation covering extensive knowledge points in LLM technologies.

### When should I avoid GPT-vup?

Last GitHub push was 1002 days ago (dormant maintenance, Oct 13, 2023). Validate activity before betting a new project on GPT-vup. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

### When should I avoid awesome-LLM-resources?

- Avoid using this resource if you specifically need detailed step-by-step guides or hands-on tutorials that focus deeply on a single technology rather than broad coverage. - It might not be the best choice when you are looking for resources in languages other than English, especially given its extensive English content.

### Is GPT-vup or awesome-LLM-resources more popular on GitHub?

awesome-LLM-resources has more GitHub stars (8,668 vs 1,268). Stars measure visibility, not whether either tool fits your constraints.

### Are GPT-vup and awesome-LLM-resources open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to GPT-vup or awesome-LLM-resources?

GraphCanon lists graph-backed alternatives at [GPT-vup alternatives](/tools/jiran214-gpt-vup/alternatives) and [awesome-LLM-resources alternatives](/tools/wangrongsheng-awesome-llm-resources/alternatives) ([GPT-vup markdown twin](/tools/jiran214-gpt-vup/alternatives.md), [awesome-LLM-resources markdown twin](/tools/wangrongsheng-awesome-llm-resources/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/jiran214-gpt-vup-vs-wangrongsheng-awesome-llm-resources.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, GPT-vup or awesome-LLM-resources?

GPT-vup: Dormant. awesome-LLM-resources: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for GPT-vup and awesome-LLM-resources?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [GPT-vup trust report](/tools/jiran214-gpt-vup/trust); [awesome-LLM-resources trust report](/tools/wangrongsheng-awesome-llm-resources/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=jiran214-gpt-vup`](/api/graphcanon/graph?tool=jiran214-gpt-vup)
- 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/_