---
title: "awesome-gpt vs chatgpt_system_prompt"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/formulahendry-awesome-gpt-vs-louisshark-chatgpt-system-prompt"
tools: ["formulahendry-awesome-gpt", "louisshark-chatgpt-system-prompt"]
---

# awesome-gpt vs chatgpt_system_prompt

*GraphCanon updated Aug 6, 2026*

## Verdict

Pick awesome-gpt if awesome-gpt is a curated list of GPT and related resources, serving as a reference for developers exploring or working with large language models and their applications; pick chatgpt_system_prompt if chatgpt_system_prompt is an essential resource for developers specifically using GPT models needing a collection of system prompts alongside education on the critical issue of prompt injection and leaking.

[awesome-gpt](https://github.com/formulahendry/awesome-gpt) reports 1.0k GitHub stars, 75 forks, and 27 open issues, last pushed May 29, 2024. [chatgpt_system_prompt](https://github.com/LouisShark/chatgpt_system_prompt) has 11k stars, 1.5k forks, and 1 open issues, last pushed Jul 27, 2026. Figures are from public GitHub metadata via [awesome-gpt's repository](https://github.com/formulahendry/awesome-gpt) and [chatgpt_system_prompt's repository](https://github.com/LouisShark/chatgpt_system_prompt).

| | [awesome-gpt](/tools/formulahendry-awesome-gpt.md) | [chatgpt_system_prompt](/tools/louisshark-chatgpt-system-prompt.md) |
| --- | --- | --- |
| Tagline | Curated list of GPT and related resources | A collection of GPT system prompts and knowledge on prompt injection leaking |
| Stars | 1,043 | 10,699 |
| Forks | 75 | 1,468 |
| Open issues | 27 | 1 |
| Language | - | HTML |
| Adopt for | awesome-gpt is a curated list of GPT and related resources, serving as a reference for developers exploring or working with large language models and their applications. | chatgpt_system_prompt is an essential resource for developers specifically using GPT models needing a collection of system prompts alongside education on the critical issue of prompt injection and leaking. |
| Persona | - | - |
| Runtime | - | - |
| License | - | MIT |
| Categories | Developer Tools, LLM Frameworks | Developer Tools |

## Trust and health

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

| | [awesome-gpt](/tools/formulahendry-awesome-gpt.md) | [chatgpt_system_prompt](/tools/louisshark-chatgpt-system-prompt.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Very active (96%) |
| Days since push | 799d | 0d |
| Open issues (now) | 27 | 1 |
| Full report | [trust report](/tools/formulahendry-awesome-gpt/trust.md) | [trust report](/tools/louisshark-chatgpt-system-prompt/trust.md) |

## Shared compatibility

- **ChatGPT**: [awesome-gpt](/tools/formulahendry-awesome-gpt.md) - Works with ChatGPT; [chatgpt_system_prompt](/tools/louisshark-chatgpt-system-prompt.md) - Works with ChatGPT

## Decision facts: awesome-gpt

- **Pricing:** unknown - Information about pricing is unavailable and likely does not apply as this is a curated list rather than a software service with licensing costs.
- **Requirements:** Since awesome-gpt is an informational repository, it itself does not have RAM requirements or Docker needs. However, users might require internet access to view
- **Adopt for:** awesome-gpt is a curated list of GPT and related resources, serving as a reference for developers exploring or working with large language models and their applications.

## Decision facts: chatgpt_system_prompt

- **Adopt for:** chatgpt_system_prompt is an essential resource for developers specifically using GPT models needing a collection of system prompts alongside education on the critical issue of prompt injection and leaking.

## Choose when

### Choose awesome-gpt if…

- Pricing: Information about pricing is unavailable and likely does not apply as this is a curated list rather than a software service with licensing costs..
- Requirements: Since awesome-gpt is an informational repository, it itself does not have RAM requirements or Docker needs. However, users might require internet access to view.
- Tags unique to awesome-gpt: chatgpt, llm, openai.
- Also covers LLM Frameworks.
- Use awesome-gpt if you are looking for a comprehensive collection of links and resources specifically focused on GPT, ChatGPT, OpenAI products, and other large-scale AI tools.

### Choose chatgpt_system_prompt if…

- Tags unique to chatgpt_system_prompt: prompt-engineering.
- When working with GPT models, you seek direct examples and guidance related to secure prompt design
- More GitHub stars (11k vs 1.0k) - visibility, not fit.

## When NOT to use awesome-gpt

- Avoid using awesome-gpt if you need detailed tutorials or in-depth technical documentation, as it primarily functions as an index of resources rather than an educational material provider.
- Do not rely on awesome-gpt for real-time updates or specific usage statistics, tool availability, or pricing plans since the repository relies heavily on links external to its curation.

## When NOT to use chatgpt_system_prompt

- For developing or troubleshooting other types of AI models not based on GPT architecture which might have different requirements for system prompts
- In scenarios where the focus is on learning generic machine learning principles rather than specific to GPT's prompt engineering considerations and limitations

## Common questions

### What is the difference between awesome-gpt and chatgpt_system_prompt?

awesome-gpt: Curated list of GPT and related resources. chatgpt_system_prompt: A collection of GPT system prompts and knowledge on prompt injection leaking. See the comparison table for live GitHub stats and shared categories.

### When should I choose awesome-gpt over chatgpt_system_prompt?

Choose awesome-gpt over chatgpt_system_prompt when Pricing: Information about pricing is unavailable and likely does not apply as this is a curated list rather than a software service with licensing costs.; Requirements: Since awesome-gpt is an informational repository, it itself does not have RAM requirements or Docker needs. However, users might require internet access to view; Tags unique to awesome-gpt: chatgpt, llm, openai; Also covers LLM Frameworks; Use awesome-gpt if you are looking for a comprehensive collection of links and resources specifically focused on GPT, ChatGPT, OpenAI products, and other large-scale AI tools.

### When should I choose chatgpt_system_prompt over awesome-gpt?

Choose chatgpt_system_prompt over awesome-gpt when Tags unique to chatgpt_system_prompt: prompt-engineering; When working with GPT models, you seek direct examples and guidance related to secure prompt design; More GitHub stars (11k vs 1.0k) - visibility, not fit.

### When should I avoid awesome-gpt?

Avoid using awesome-gpt if you need detailed tutorials or in-depth technical documentation, as it primarily functions as an index of resources rather than an educational material provider. Do not rely on awesome-gpt for real-time updates or specific usage statistics, tool availability, or pricing plans since the repository relies heavily on links external to its curation.

### When should I avoid chatgpt_system_prompt?

For developing or troubleshooting other types of AI models not based on GPT architecture which might have different requirements for system prompts In scenarios where the focus is on learning generic machine learning principles rather than specific to GPT's prompt engineering considerations and limitations

### Is awesome-gpt or chatgpt_system_prompt more popular on GitHub?

chatgpt_system_prompt has more GitHub stars (10,699 vs 1,043). Stars measure visibility, not whether either tool fits your constraints.

### Are awesome-gpt and chatgpt_system_prompt open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to awesome-gpt or chatgpt_system_prompt?

GraphCanon lists graph-backed alternatives at [awesome-gpt alternatives](/tools/formulahendry-awesome-gpt/alternatives) and [chatgpt_system_prompt alternatives](/tools/louisshark-chatgpt-system-prompt/alternatives) ([awesome-gpt markdown twin](/tools/formulahendry-awesome-gpt/alternatives.md), [chatgpt_system_prompt markdown twin](/tools/louisshark-chatgpt-system-prompt/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/formulahendry-awesome-gpt-vs-louisshark-chatgpt-system-prompt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, awesome-gpt or chatgpt_system_prompt?

awesome-gpt: Dormant. chatgpt_system_prompt: 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 awesome-gpt and chatgpt_system_prompt?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-gpt trust report](/tools/formulahendry-awesome-gpt/trust); [chatgpt_system_prompt trust report](/tools/louisshark-chatgpt-system-prompt/trust).

---

**Machine-readable endpoints**

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