---
title: "awesome-prompts vs awesome-gpt"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/ai-boost-awesome-prompts-vs-formulahendry-awesome-gpt"
tools: ["ai-boost-awesome-prompts", "formulahendry-awesome-gpt"]
---

# awesome-prompts vs awesome-gpt

*GraphCanon updated Aug 6, 2026*

## Verdict

Pick awesome-prompts if awesome-prompts is a collection of rated GPT prompts from the GPTs Store with a focus on engineering, attacks, protections, and academic papers; 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.

[awesome-prompts](https://awesomegpt.vip) reports 8.4k GitHub stars, 798 forks, and 35 open issues, last pushed Jul 11, 2026. [awesome-gpt](https://github.com/formulahendry/awesome-gpt) has 1.0k stars, 75 forks, and 27 open issues, last pushed May 29, 2024. Figures are from public GitHub metadata via [awesome-prompts's repository](https://github.com/ai-boost/awesome-prompts) and [awesome-gpt's repository](https://github.com/formulahendry/awesome-gpt).

| | [awesome-prompts](/tools/ai-boost-awesome-prompts.md) | [awesome-gpt](/tools/formulahendry-awesome-gpt.md) |
| --- | --- | --- |
| Tagline | Curated chatgpt prompts and advanced prompt engineering papers | Curated list of GPT and related resources |
| Stars | 8,440 | 1,043 |
| Forks | 798 | 75 |
| Open issues | 35 | 27 |
| Language | - | - |
| Adopt for | awesome-prompts is a collection of rated GPT prompts from the GPTs Store with a focus on engineering, attacks, protections, and academic papers. | 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. |
| Persona | - | - |
| Runtime | - | - |
| License | GPL-3.0 | - |
| Categories | Developer Tools | Developer Tools, LLM Frameworks |

## Trust and health

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

| | [awesome-prompts](/tools/ai-boost-awesome-prompts.md) | [awesome-gpt](/tools/formulahendry-awesome-gpt.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Dormant (18%) |
| Days since push | 0d | 799d |
| Open issues (now) | 35 | 27 |
| Full report | [trust report](/tools/ai-boost-awesome-prompts/trust.md) | [trust report](/tools/formulahendry-awesome-gpt/trust.md) |

## Decision facts: awesome-prompts

- **Adopt for:** awesome-prompts is a collection of rated GPT prompts from the GPTs Store with a focus on engineering, attacks, protections, and academic papers.

## 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.

## Choose when

### Choose awesome-prompts if…

- Tags unique to awesome-prompts: awesome-list, prompt-attack, prompt-engineering, prompt-protect.
- Need detailed prompt engineering resources
- More GitHub stars (8.4k vs 1.0k) - visibility, not fit.

### 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: gpt, 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 NOT to use awesome-prompts

- Seeking a platform for generating new prompts rather than reviewing existing ones
- In search of direct support tools or services, not just informational content
- Requiring real-time collaboration on prompt creation and experimentation

## 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.

## Common questions

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

awesome-prompts: Curated chatgpt prompts and advanced prompt engineering papers. awesome-gpt: Curated list of GPT and related resources. See the comparison table for live GitHub stats and shared categories.

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

Choose awesome-prompts over awesome-gpt when Tags unique to awesome-prompts: awesome-list, prompt-attack, prompt-engineering, prompt-protect; Need detailed prompt engineering resources; More GitHub stars (8.4k vs 1.0k) - visibility, not fit.

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

Choose awesome-gpt over awesome-prompts 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: gpt, 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 avoid awesome-prompts?

Seeking a platform for generating new prompts rather than reviewing existing ones In search of direct support tools or services, not just informational content Requiring real-time collaboration on prompt creation and experimentation

### 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.

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

awesome-prompts has more GitHub stars (8,440 vs 1,043). Stars measure visibility, not whether either tool fits your constraints.

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

Yes - both are open-source projects on GitHub.

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

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

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

awesome-prompts: Very active. awesome-gpt: 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 awesome-prompts and awesome-gpt?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-prompts trust report](/tools/ai-boost-awesome-prompts/trust); [awesome-gpt trust report](/tools/formulahendry-awesome-gpt/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=ai-boost-awesome-prompts`](/api/graphcanon/graph?tool=ai-boost-awesome-prompts)
- 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/_
