---
title: "promptsite vs awesome-gpt"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/dkuang1980-promptsite-vs-formulahendry-awesome-gpt"
tools: ["dkuang1980-promptsite", "formulahendry-awesome-gpt"]
---

# promptsite vs awesome-gpt

*GraphCanon updated Oct 11, 2026*

## Verdict

Pick promptsite if promptSite is a Python-based tool designed for managing versions of LLM prompts, offering features for tracking, experimentation, and debugging; 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.

[promptsite](https://github.com/dkuang1980/promptsite) reports 46 GitHub stars, 4 forks, and 2 open issues, last pushed Feb 3, 2025. [awesome-gpt](https://github.com/formulahendry/awesome-gpt) has 1.0k stars, 79 forks, and 31 open issues, last pushed May 29, 2024. Figures are from public GitHub metadata via [promptsite's repository](https://github.com/dkuang1980/promptsite) and [awesome-gpt's repository](https://github.com/formulahendry/awesome-gpt).

| | [promptsite](/tools/dkuang1980-promptsite.md) | [awesome-gpt](/tools/formulahendry-awesome-gpt.md) |
| --- | --- | --- |
| Tagline | A lightweight prompt version management package for LLM prompts | Curated list of GPT and related resources |
| Stars | 46 | 1,045 |
| Forks | 4 | 79 |
| Open issues | 2 | 31 |
| Language | Python | - |
| Adopt for | PromptSite is a Python-based tool designed for managing versions of LLM prompts, offering features for tracking, experimentation, and debugging. | 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 | PromptSite is available under the Apache-2.0 license, allowing for free use, modification, and distribution. | - |
| Categories | Developer Tools, LLM Frameworks | Developer Tools, LLM Frameworks |

## Trust and health

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

| | [promptsite](/tools/dkuang1980-promptsite.md) | [awesome-gpt](/tools/formulahendry-awesome-gpt.md) |
| --- | --- | --- |
| Days since push | 591d | 865d |
| Open issues (now) | 2 | 31 |
| Stars delta | 0 (30d) | +1 (30d) |
| Open issues delta | 0 (30d) | +2 (30d) |
| Full report | [trust report](/tools/dkuang1980-promptsite/trust.md) | [trust report](/tools/formulahendry-awesome-gpt/trust.md) |

## Decision facts: promptsite

- **Pricing:** freemium - PromptSite is free to use under the Apache-2.0 license, with no additional paid features mentioned.
- **Requirements:** Min 1 GB RAM; PromptSite requires Python to be installed on the system.
- **Adopt for:** PromptSite is a Python-based tool designed for managing versions of LLM prompts, offering features for tracking, experimentation, and debugging.
- **License detail:** PromptSite is available under the Apache-2.0 license, allowing for free use, modification, and distribution.

## 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 promptsite if…

- Pricing: PromptSite is free to use under the Apache-2.0 license, with no additional paid features mentioned..
- Requirements: Min 1 GB RAM; PromptSite requires Python to be installed on the system..
- Tags unique to promptsite: debugging, experimentation, llm prompts, prompt-management.
- When you need a lightweight solution for version control of LLM prompts specifically, as PromptSite is tailored for this purpose.

### 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, gpt, llm, openai.
- 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 promptsite

- If your project does not involve LLM prompts or if you are working in a non-Python environment, as PromptSite is Python-specific.
- When you require a comprehensive framework that covers more than just prompt management, as PromptSite focuses narrowly on prompt versioning 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 promptsite and awesome-gpt?

promptsite: A lightweight prompt version management package for LLM prompts. awesome-gpt: Curated list of GPT and related resources. See the comparison table for live GitHub stats and shared categories.

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

Choose promptsite over awesome-gpt when Pricing: PromptSite is free to use under the Apache-2.0 license, with no additional paid features mentioned.; Requirements: Min 1 GB RAM; PromptSite requires Python to be installed on the system.; Tags unique to promptsite: debugging, experimentation, llm prompts, prompt-management; When you need a lightweight solution for version control of LLM prompts specifically, as PromptSite is tailored for this purpose.

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

Choose awesome-gpt over promptsite 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, gpt, llm, openai; 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 promptsite?

If your project does not involve LLM prompts or if you are working in a non-Python environment, as PromptSite is Python-specific. When you require a comprehensive framework that covers more than just prompt management, as PromptSite focuses narrowly on prompt versioning 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 promptsite or awesome-gpt more popular on GitHub?

awesome-gpt has more GitHub stars (1,045 vs 46). Stars measure visibility, not whether either tool fits your constraints.

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

Yes - both are open-source projects on GitHub.

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

GraphCanon lists graph-backed alternatives at [promptsite alternatives](/tools/dkuang1980-promptsite/alternatives) and [awesome-gpt alternatives](/tools/formulahendry-awesome-gpt/alternatives) ([promptsite markdown twin](/tools/dkuang1980-promptsite/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/dkuang1980-promptsite-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, promptsite or awesome-gpt?

promptsite: Dormant. 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 promptsite and awesome-gpt?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [promptsite trust report](/tools/dkuang1980-promptsite/trust); [awesome-gpt trust report](/tools/formulahendry-awesome-gpt/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=dkuang1980-promptsite`](/api/graphcanon/graph?tool=dkuang1980-promptsite)
- 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/_
