--- title: "ChatGPT-Free-Prompt-List vs Prompt_Engineering" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mattnigh-chatgpt-free-prompt-list-vs-nirdiamant-prompt-engineering" tools: ["mattnigh-chatgpt-free-prompt-list", "nirdiamant-prompt-engineering"] --- # ChatGPT-Free-Prompt-List vs Prompt_Engineering *GraphCanon updated Jul 28, 2026* ## Verdict Pick ChatGPT-Free-Prompt-List if the ChatGPT-Free-Prompt-List is a curated resource meant for developers and users who are learning to craft prompts specifically for the ChatGPT models, primarily focusing on versions up to ChatGPT3; pick Prompt_Engineering if the Prompt_Engineering repository provides hands-on Jupyter Notebook tutorials that guide users through 22 prompt engineering techniques for advanced use of Language Learning Models. [ChatGPT-Free-Prompt-List](https://www.prompt-bin.com/) reports 2.3k GitHub stars, 181 forks, and 2 open issues, last pushed May 2, 2025. [Prompt_Engineering](https://diamant-ai.com) has 7.7k stars, 990 forks, and 4 open issues, last pushed Jul 14, 2026. Figures are from public GitHub metadata via [ChatGPT-Free-Prompt-List's repository](https://github.com/mattnigh/ChatGPT-Free-Prompt-List) and [Prompt_Engineering's repository](https://github.com/NirDiamant/Prompt_Engineering). | | [ChatGPT-Free-Prompt-List](/tools/mattnigh-chatgpt-free-prompt-list.md) | [Prompt_Engineering](/tools/nirdiamant-prompt-engineering.md) | | --- | --- | --- | | Tagline | A free guide for learning to create ChatGPT3 Prompts | Hands-on Jupyter Notebook tutorials for prompt engineering with LLMs | | Stars | 2,293 | 7,703 | | Forks | 181 | 990 | | Open issues | 2 | 4 | | Language | TypeScript | Jupyter Notebook | | Adopt for | The ChatGPT-Free-Prompt-List is a curated resource meant for developers and users who are learning to craft prompts specifically for the ChatGPT models, primarily focusing on versions up to ChatGPT3. | The Prompt_Engineering repository provides hands-on Jupyter Notebook tutorials that guide users through 22 prompt engineering techniques for advanced use of Language Learning Models. | | Persona | - | - | | Runtime | - | - | | License | - | Other | | Categories | Developer Tools, LLM Frameworks | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ChatGPT-Free-Prompt-List](/tools/mattnigh-chatgpt-free-prompt-list.md) | [Prompt_Engineering](/tools/nirdiamant-prompt-engineering.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Active (82%) | | Days since push | 452d | 13d | | Open issues (now) | 2 | 4 | | Full report | [trust report](/tools/mattnigh-chatgpt-free-prompt-list/trust.md) | [trust report](/tools/nirdiamant-prompt-engineering/trust.md) | ## Decision facts: ChatGPT-Free-Prompt-List - **Hosting:** unknown - No hosting information available. - **Pricing:** freemium - This tool offers a free guide, but the underlying licensing for usage or distribution of content is not specified. - **Adopt for:** The ChatGPT-Free-Prompt-List is a curated resource meant for developers and users who are learning to craft prompts specifically for the ChatGPT models, primarily focusing on versions up to ChatGPT3. ## Decision facts: Prompt_Engineering - **Adopt for:** The Prompt_Engineering repository provides hands-on Jupyter Notebook tutorials that guide users through 22 prompt engineering techniques for advanced use of Language Learning Models. ## Choose when ### Choose ChatGPT-Free-Prompt-List if… - ChatGPT-Free-Prompt-List is primarily TypeScript; Prompt_Engineering is Jupyter Notebook. - No hosting information available. - Pricing: This tool offers a free guide, but the underlying licensing for usage or distribution of content is not specified.. - Tags unique to ChatGPT-Free-Prompt-List: prompt-engineering, prompts. - - When you need specific insights into prompt engineering tailored directly to ChatGPT without cost ### Choose Prompt_Engineering if… - Prompt_Engineering is primarily Jupyter Notebook; ChatGPT-Free-Prompt-List is TypeScript. - Tags unique to Prompt_Engineering: chain-of-thought, claude, few-shot-learning, genai. - When you need practical, step-by-step guidance in Jupyter Notebooks to understand and implement prompt engineering techniques with LLMs. ## When NOT to use ChatGPT-Free-Prompt-List - - If your focus is on later versions of the ChatGPT model beyond ChatGPT3, as recent updates may not be covered - - When you require a comprehensive guide for prompt creation across multiple language models other than ChatGPT ## When NOT to use Prompt_Engineering - If you prefer interactive tooling over manual notebook work, as the repository is heavily based on self-guided Jupyter Notebook exercises. - This repository may not be suitable if you are focused exclusively on specific LLM frameworks like Hugging Face Transformers or SpaCy that it does not emphasize. ## Common questions ### What is the difference between ChatGPT-Free-Prompt-List and Prompt_Engineering? ChatGPT-Free-Prompt-List: A free guide for learning to create ChatGPT3 Prompts. Prompt_Engineering: Hands-on Jupyter Notebook tutorials for prompt engineering with LLMs. See the comparison table for live GitHub stats and shared categories. ### When should I choose ChatGPT-Free-Prompt-List over Prompt_Engineering? Choose ChatGPT-Free-Prompt-List over Prompt_Engineering when ChatGPT-Free-Prompt-List is primarily TypeScript; Prompt_Engineering is Jupyter Notebook; No hosting information available; Pricing: This tool offers a free guide, but the underlying licensing for usage or distribution of content is not specified.; Tags unique to ChatGPT-Free-Prompt-List: prompt-engineering, prompts; - When you need specific insights into prompt engineering tailored directly to ChatGPT without cost. ### When should I choose Prompt_Engineering over ChatGPT-Free-Prompt-List? Choose Prompt_Engineering over ChatGPT-Free-Prompt-List when Prompt_Engineering is primarily Jupyter Notebook; ChatGPT-Free-Prompt-List is TypeScript; Tags unique to Prompt_Engineering: chain-of-thought, claude, few-shot-learning, genai; When you need practical, step-by-step guidance in Jupyter Notebooks to understand and implement prompt engineering techniques with LLMs. ### When should I avoid ChatGPT-Free-Prompt-List? - If your focus is on later versions of the ChatGPT model beyond ChatGPT3, as recent updates may not be covered - When you require a comprehensive guide for prompt creation across multiple language models other than ChatGPT ### When should I avoid Prompt_Engineering? If you prefer interactive tooling over manual notebook work, as the repository is heavily based on self-guided Jupyter Notebook exercises. This repository may not be suitable if you are focused exclusively on specific LLM frameworks like Hugging Face Transformers or SpaCy that it does not emphasize. ### Is ChatGPT-Free-Prompt-List or Prompt_Engineering more popular on GitHub? Prompt_Engineering has more GitHub stars (7,703 vs 2,293). Stars measure visibility, not whether either tool fits your constraints. ### Are ChatGPT-Free-Prompt-List and Prompt_Engineering open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to ChatGPT-Free-Prompt-List or Prompt_Engineering? GraphCanon lists graph-backed alternatives at [ChatGPT-Free-Prompt-List alternatives](/tools/mattnigh-chatgpt-free-prompt-list/alternatives) and [Prompt_Engineering alternatives](/tools/nirdiamant-prompt-engineering/alternatives) ([ChatGPT-Free-Prompt-List markdown twin](/tools/mattnigh-chatgpt-free-prompt-list/alternatives.md), [Prompt_Engineering markdown twin](/tools/nirdiamant-prompt-engineering/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/mattnigh-chatgpt-free-prompt-list-vs-nirdiamant-prompt-engineering.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ChatGPT-Free-Prompt-List or Prompt_Engineering? ChatGPT-Free-Prompt-List: Dormant. Prompt_Engineering: 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 ChatGPT-Free-Prompt-List and Prompt_Engineering? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ChatGPT-Free-Prompt-List trust report](/tools/mattnigh-chatgpt-free-prompt-list/trust); [Prompt_Engineering trust report](/tools/nirdiamant-prompt-engineering/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mattnigh-chatgpt-free-prompt-list`](/api/graphcanon/graph?tool=mattnigh-chatgpt-free-prompt-list) - 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/_