--- title: "Awesome-Prompt-Engineering vs Learning-Prompt" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/promptslab-awesome-prompt-engineering-vs-thinkingjimmy-learning-prompt" tools: ["promptslab-awesome-prompt-engineering", "thinkingjimmy-learning-prompt"] --- # Awesome-Prompt-Engineering vs Learning-Prompt *GraphCanon updated Jul 28, 2026* ## Verdict Pick Awesome-Prompt-Engineering if awesome-Prompt-Engineering curates resources tailored for GPT, ChatGPT, PaLM prompt engineering in TypeScript under Apache-2.0 license; pick Learning-Prompt if learning-Prompt is an accessible online course for understanding prompt crafting with a focus on ChatGPT and Midjourney. [Awesome-Prompt-Engineering](https://discord.gg/m88xfYMbK6) reports 6.2k GitHub stars, 734 forks, and 94 open issues, last pushed Jul 27, 2026. [Learning-Prompt](https://learningprompt.wiki) has 5.3k stars, 394 forks, and 16 open issues, last pushed Sep 17, 2023. Figures are from public GitHub metadata via [Awesome-Prompt-Engineering's repository](https://github.com/promptslab/Awesome-Prompt-Engineering) and [Learning-Prompt's repository](https://github.com/thinkingjimmy/Learning-Prompt). | | [Awesome-Prompt-Engineering](/tools/promptslab-awesome-prompt-engineering.md) | [Learning-Prompt](/tools/thinkingjimmy-learning-prompt.md) | | --- | --- | --- | | Tagline | Hand-curated resources for Prompt Engineering focusing on Generative Pre-trained Transformers | Free prompt engineering online course with ChatGPT and Midjourney tutorials | | Stars | 6,197 | 5,314 | | Forks | 734 | 394 | | Open issues | 94 | 16 | | Language | TypeScript | CSS | | Adopt for | Awesome-Prompt-Engineering curates resources tailored for GPT, ChatGPT, PaLM prompt engineering in TypeScript under Apache-2.0 license. | Learning-Prompt is an accessible online course for understanding prompt crafting with a focus on ChatGPT and Midjourney. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | Developer Tools, Model Training | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Awesome-Prompt-Engineering](/tools/promptslab-awesome-prompt-engineering.md) | [Learning-Prompt](/tools/thinkingjimmy-learning-prompt.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 1045d | | Open issues (now) | 94 | 16 | | Owner type | Organization | User | | Full report | [trust report](/tools/promptslab-awesome-prompt-engineering/trust.md) | [trust report](/tools/thinkingjimmy-learning-prompt/trust.md) | ## Decision facts: Awesome-Prompt-Engineering - **Adopt for:** Awesome-Prompt-Engineering curates resources tailored for GPT, ChatGPT, PaLM prompt engineering in TypeScript under Apache-2.0 license. ## Decision facts: Learning-Prompt - **Pricing:** freemium - The course content is free for users who want to learn about crafting prompts without any upfront costs. Advanced features are not specified within the repository summary provided. - **Adopt for:** Learning-Prompt is an accessible online course for understanding prompt crafting with a focus on ChatGPT and Midjourney. ## Choose when ### Choose Awesome-Prompt-Engineering if… - Awesome-Prompt-Engineering is primarily TypeScript; Learning-Prompt is CSS. - License: Awesome-Prompt-Engineering is Apache-2.0, Learning-Prompt is Other. - Tags unique to Awesome-Prompt-Engineering: deep-learning, few-shot-learning, gpt, machine-learning. - Also covers Model Training. - You need focused materials on GPT and related models for prompt engineering ### Choose Learning-Prompt if… - Learning-Prompt is primarily CSS; Awesome-Prompt-Engineering is TypeScript. - License: Learning-Prompt is Other, Awesome-Prompt-Engineering is Apache-2.0. - Pricing: The course content is free for users who want to learn about crafting prompts without any upfront costs. Advanced features are not specified within the repository summary provided.. - Tags unique to Learning-Prompt: midjourney. - When you need specific tutorials on how to craft prompts for ChatGPT or generate images with Midjourney, as opposed to learning generic AI tool usage. ## When NOT to use Awesome-Prompt-Engineering - The project requires languages other than TypeScript - Resource is about areas outside of GPT, ChatGPT, PaLM prompt engineering ## When NOT to use Learning-Prompt - If looking for a course tailored to tools other than ChatGPT and Midjourney, as this learning resource centers around these two technologies. - Not recommended if you seek in-depth programming knowledge related to AI development; Learning-Prompt focuses solely on prompt engineering. ## Common questions ### What is the difference between Awesome-Prompt-Engineering and Learning-Prompt? Awesome-Prompt-Engineering: Hand-curated resources for Prompt Engineering focusing on Generative Pre-trained Transformers. Learning-Prompt: Free prompt engineering online course with ChatGPT and Midjourney tutorials. See the comparison table for live GitHub stats and shared categories. ### When should I choose Awesome-Prompt-Engineering over Learning-Prompt? Choose Awesome-Prompt-Engineering over Learning-Prompt when Awesome-Prompt-Engineering is primarily TypeScript; Learning-Prompt is CSS; License: Awesome-Prompt-Engineering is Apache-2.0, Learning-Prompt is Other; Tags unique to Awesome-Prompt-Engineering: deep-learning, few-shot-learning, gpt, machine-learning; Also covers Model Training; You need focused materials on GPT and related models for prompt engineering. ### When should I choose Learning-Prompt over Awesome-Prompt-Engineering? Choose Learning-Prompt over Awesome-Prompt-Engineering when Learning-Prompt is primarily CSS; Awesome-Prompt-Engineering is TypeScript; License: Learning-Prompt is Other, Awesome-Prompt-Engineering is Apache-2.0; Pricing: The course content is free for users who want to learn about crafting prompts without any upfront costs. Advanced features are not specified within the repository summary provided.; Tags unique to Learning-Prompt: midjourney; When you need specific tutorials on how to craft prompts for ChatGPT or generate images with Midjourney, as opposed to learning generic AI tool usage. ### When should I avoid Awesome-Prompt-Engineering? The project requires languages other than TypeScript Resource is about areas outside of GPT, ChatGPT, PaLM prompt engineering ### When should I avoid Learning-Prompt? If looking for a course tailored to tools other than ChatGPT and Midjourney, as this learning resource centers around these two technologies. Not recommended if you seek in-depth programming knowledge related to AI development; Learning-Prompt focuses solely on prompt engineering. ### Is Awesome-Prompt-Engineering or Learning-Prompt more popular on GitHub? Awesome-Prompt-Engineering has more GitHub stars (6,197 vs 5,314). Stars measure visibility, not whether either tool fits your constraints. ### Are Awesome-Prompt-Engineering and Learning-Prompt open source? Yes - both are open-source projects on GitHub (Awesome-Prompt-Engineering: Apache-2.0, Learning-Prompt: Other). ### Where can I find alternatives to Awesome-Prompt-Engineering or Learning-Prompt? GraphCanon lists graph-backed alternatives at [Awesome-Prompt-Engineering alternatives](/tools/promptslab-awesome-prompt-engineering/alternatives) and [Learning-Prompt alternatives](/tools/thinkingjimmy-learning-prompt/alternatives) ([Awesome-Prompt-Engineering markdown twin](/tools/promptslab-awesome-prompt-engineering/alternatives.md), [Learning-Prompt markdown twin](/tools/thinkingjimmy-learning-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/promptslab-awesome-prompt-engineering-vs-thinkingjimmy-learning-prompt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Awesome-Prompt-Engineering or Learning-Prompt? Awesome-Prompt-Engineering: Very active. Learning-Prompt: 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-Prompt-Engineering and Learning-Prompt? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Awesome-Prompt-Engineering trust report](/tools/promptslab-awesome-prompt-engineering/trust); [Learning-Prompt trust report](/tools/thinkingjimmy-learning-prompt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=promptslab-awesome-prompt-engineering`](/api/graphcanon/graph?tool=promptslab-awesome-prompt-engineering) - 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/_