---
title: "prompts.chat vs Awesome-AIGC-Tutorials"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/f-prompts-chat-vs-luban-agi-awesome-aigc-tutorials"
tools: ["f-prompts-chat", "luban-agi-awesome-aigc-tutorials"]
---

# prompts.chat vs Awesome-AIGC-Tutorials

*GraphCanon updated Sep 20, 2026*

## Verdict

Pick prompts.chat if prompts.chat is a platform for sharing and discovering prompts for AI models like ChatGPT, Claude, Gemini, and GPT-4, supporting self-hosting with custom branding, themes, and authentication; pick Awesome-AIGC-Tutorials if awesome-AIGC-Tutorials supplies specialized guidance on Large Language Models and AI-generated artistry.

[prompts.chat](https://prompts.chat) reports 171k GitHub stars, 22k forks, and 79 open issues, last pushed Sep 9, 2026. [Awesome-AIGC-Tutorials](https://github.com/luban-agi/Awesome-AIGC-Tutorials) has 4.5k stars, 298 forks, and 10 open issues, last pushed Mar 31, 2024. Figures are from public GitHub metadata via [prompts.chat's repository](https://github.com/f/prompts.chat) and [Awesome-AIGC-Tutorials's repository](https://github.com/luban-agi/Awesome-AIGC-Tutorials).

| | [prompts.chat](/tools/f-prompts-chat.md) | [Awesome-AIGC-Tutorials](/tools/luban-agi-awesome-aigc-tutorials.md) |
| --- | --- | --- |
| Tagline | Share, discover, and collect prompts from the community | Curated tutorials and resources for Large Language Models, AI Painting, and more |
| Stars | 170,621 | 4,547 |
| Forks | 21,933 | 298 |
| Open issues | 79 | 10 |
| Language | HTML | - |
| Adopt for | prompts.chat is a platform for sharing and discovering prompts for AI models like ChatGPT, Claude, Gemini, and GPT-4, supporting self-hosting with custom branding, themes, and authentication. | Awesome-AIGC-Tutorials supplies specialized guidance on Large Language Models and AI-generated artistry. |
| Persona | - | - |
| Runtime | - | - |
| License | Other | MIT license allows for free use in both open-source and proprietary products, with attribution required to the authors. |
| Categories | Developer Tools | Developer Tools, LLM Frameworks, Model Training |

## Trust and health

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

| | [prompts.chat](/tools/f-prompts-chat.md) | [Awesome-AIGC-Tutorials](/tools/luban-agi-awesome-aigc-tutorials.md) |
| --- | --- | --- |
| Maintenance | Active (82%) | Dormant (18%) |
| Days since push | 8d | 902d |
| Open issues (now) | 79 | 10 |
| Stars delta | +3.4k (30d) | +25 (30d) |
| Open issues delta | +14 (30d) | 0 (30d) |
| Owner type | User | Organization |
| Full report | [trust report](/tools/f-prompts-chat/trust.md) | [trust report](/tools/luban-agi-awesome-aigc-tutorials/trust.md) |

## Decision facts: prompts.chat

- **Pricing:** freemium - The platform is free and open source, allowing for self-hosting with complete privacy. However, users may need to pay for hosting and database services.
- **Requirements:** Min 2 GB RAM; Requires Docker; Requires PostgreSQL for database management.; Supports self-hosting with custom branding, themes, and authentication.
- **Adopt for:** prompts.chat is a platform for sharing and discovering prompts for AI models like ChatGPT, Claude, Gemini, and GPT-4, supporting self-hosting with custom branding, themes, and authentication.

## Decision facts: Awesome-AIGC-Tutorials

- **Requirements:** No specific technical prerequisites are listed. Basic understanding of AI concepts like LLMs and NLP is beneficial.
- **Adopt for:** Awesome-AIGC-Tutorials supplies specialized guidance on Large Language Models and AI-generated artistry.
- **License detail:** MIT license allows for free use in both open-source and proprietary products, with attribution required to the authors.

## Choose when

### Choose prompts.chat if…

- License: prompts.chat is Other, Awesome-AIGC-Tutorials is MIT.
- Pricing: The platform is free and open source, allowing for self-hosting with complete privacy. However, users may need to pay for hosting and database services..
- Requirements: Min 2 GB RAM; Requires Docker; Requires PostgreSQL for database management.; Supports self-hosting with custom branding, themes, and authentication..
- Tags unique to prompts.chat: artificial-intelligence, awesome-list, chatgpt-prompts, claude.
- prompts.chat ships an MCP server manifest.
- When you need a platform that supports self-hosting with complete privacy and customization options like custom branding, themes, and authentication methods.

### Choose Awesome-AIGC-Tutorials if…

- License: Awesome-AIGC-Tutorials is MIT, prompts.chat is Other.
- Requirements: No specific technical prerequisites are listed. Basic understanding of AI concepts like LLMs and NLP is beneficial..
- Tags unique to Awesome-AIGC-Tutorials: aigc, deep-learning, llm, midjourney.
- Also covers LLM Frameworks, Model Training.
- If you aim to deepen your understanding of prompt engineering for models like MidJourney or Stable Diffusion, this repository offers focused tutorials and resources.

## When NOT to use prompts.chat

- If you are looking for a platform that does not require self-hosting and prefer a fully managed service without the need for setup and maintenance.
- When your organization does not have the technical capability to set up and maintain a PostgreSQL database, which is recommended for use with prompts.chat.

## When NOT to use Awesome-AIGC-Tutorials

- Avoid if you are looking for a one-stop-shop coding platform, as Awesome-AIGC-Tutorials provides theoretical knowledge and tutorials rather than practical code samples.
- Not suitable if your focus is solely on the commercial deployment of large language models; this repository does not cover market-specific insights or competitive analysis.

## Common questions

### What is the difference between prompts.chat and Awesome-AIGC-Tutorials?

prompts.chat: Share, discover, and collect prompts from the community. Awesome-AIGC-Tutorials: Curated tutorials and resources for Large Language Models, AI Painting, and more. See the comparison table for live GitHub stats and shared categories.

### When should I choose prompts.chat over Awesome-AIGC-Tutorials?

Choose prompts.chat over Awesome-AIGC-Tutorials when License: prompts.chat is Other, Awesome-AIGC-Tutorials is MIT; Pricing: The platform is free and open source, allowing for self-hosting with complete privacy. However, users may need to pay for hosting and database services.; Requirements: Min 2 GB RAM; Requires Docker; Requires PostgreSQL for database management.; Supports self-hosting with custom branding, themes, and authentication.; Tags unique to prompts.chat: artificial-intelligence, awesome-list, chatgpt-prompts, claude; prompts.chat ships an MCP server manifest; When you need a platform that supports self-hosting with complete privacy and customization options like custom branding, themes, and authentication methods.

### When should I choose Awesome-AIGC-Tutorials over prompts.chat?

Choose Awesome-AIGC-Tutorials over prompts.chat when License: Awesome-AIGC-Tutorials is MIT, prompts.chat is Other; Requirements: No specific technical prerequisites are listed. Basic understanding of AI concepts like LLMs and NLP is beneficial.; Tags unique to Awesome-AIGC-Tutorials: aigc, deep-learning, llm, midjourney; Also covers LLM Frameworks, Model Training; If you aim to deepen your understanding of prompt engineering for models like MidJourney or Stable Diffusion, this repository offers focused tutorials and resources.

### When should I avoid prompts.chat?

If you are looking for a platform that does not require self-hosting and prefer a fully managed service without the need for setup and maintenance. When your organization does not have the technical capability to set up and maintain a PostgreSQL database, which is recommended for use with prompts.chat.

### When should I avoid Awesome-AIGC-Tutorials?

Avoid if you are looking for a one-stop-shop coding platform, as Awesome-AIGC-Tutorials provides theoretical knowledge and tutorials rather than practical code samples. Not suitable if your focus is solely on the commercial deployment of large language models; this repository does not cover market-specific insights or competitive analysis.

### Is prompts.chat or Awesome-AIGC-Tutorials more popular on GitHub?

prompts.chat has more GitHub stars (170,621 vs 4,547). Stars measure visibility, not whether either tool fits your constraints.

### Are prompts.chat and Awesome-AIGC-Tutorials open source?

Yes - both are open-source projects on GitHub (prompts.chat: Other, Awesome-AIGC-Tutorials: MIT).

### Where can I find alternatives to prompts.chat or Awesome-AIGC-Tutorials?

GraphCanon lists graph-backed alternatives at [prompts.chat alternatives](/tools/f-prompts-chat/alternatives) and [Awesome-AIGC-Tutorials alternatives](/tools/luban-agi-awesome-aigc-tutorials/alternatives) ([prompts.chat markdown twin](/tools/f-prompts-chat/alternatives.md), [Awesome-AIGC-Tutorials markdown twin](/tools/luban-agi-awesome-aigc-tutorials/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/f-prompts-chat-vs-luban-agi-awesome-aigc-tutorials.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, prompts.chat or Awesome-AIGC-Tutorials?

prompts.chat: Active. Awesome-AIGC-Tutorials: Dormant. 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 prompts.chat and Awesome-AIGC-Tutorials?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [prompts.chat trust report](/tools/f-prompts-chat/trust); [Awesome-AIGC-Tutorials trust report](/tools/luban-agi-awesome-aigc-tutorials/trust).

---

**Machine-readable endpoints**

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