Comparison
Awesome-Prompt-Engineering vs Learning-Prompt
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.
Markdown twin · Awesome-Prompt-Engineering alternatives · Learning-Prompt alternatives
GraphCanon updated 4w
vs
Trust & integrity
| Signal | Awesome-Prompt-Engineering | Learning-Prompt |
|---|---|---|
| Maintenance | Very active (0d since push) As of 4w · github_public_v1 | Dormant (1045d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4w · github_public_v1 | Not a fork · Personal account As of 4w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- 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
Stars
- Awesome-Prompt-Engineering
- 6.2k
- Learning-Prompt
- 5.3k
Forks
- Awesome-Prompt-Engineering
- 734
- Learning-Prompt
- 394
Open issues
- Awesome-Prompt-Engineering
- 94
- Learning-Prompt
- 16
Language
- Awesome-Prompt-Engineering
- TypeScript
- Learning-Prompt
- CSS
Adopt for
- Awesome-Prompt-Engineering
- Awesome-Prompt-Engineering curates resources tailored for GPT, ChatGPT, PaLM prompt engineering in TypeScript under Apache-2.0 license.
- Learning-Prompt
- Learning-Prompt is an accessible online course for understanding prompt crafting with a focus on ChatGPT and Midjourney.
Persona
- Awesome-Prompt-Engineering
- -
- Learning-Prompt
- -
Runtime
- Awesome-Prompt-Engineering
- -
- Learning-Prompt
- -
License
- Awesome-Prompt-Engineering
- Apache-2.0
- Learning-Prompt
- Other
Last pushed
- Awesome-Prompt-Engineering
- Jul 27, 2026
- Learning-Prompt
- Sep 17, 2023
Categories
- Awesome-Prompt-Engineering
- Developer Tools, Model Training
- Learning-Prompt
- Developer Tools
Trust and health
Maintenance
- Awesome-Prompt-Engineering
- Very active (96%)
- Learning-Prompt
- Dormant (18%)
Days since push
- Awesome-Prompt-Engineering
- 0d
- Learning-Prompt
- 1045d
Open issues (now)
- Awesome-Prompt-Engineering
- 94
- Learning-Prompt
- 16
Owner type
- Awesome-Prompt-Engineering
- Organization
- Learning-Prompt
- User
Full report
- Awesome-Prompt-Engineering
- Trust report
- Learning-Prompt
- Trust report
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
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
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (promptslab/Awesome-Prompt-Engineering) · observed Jul 28, 2026
- GitHub forks (promptslab/Awesome-Prompt-Engineering) · observed Jul 28, 2026
- Last push (promptslab/Awesome-Prompt-Engineering) · observed Jul 27, 2026
- License file (Apache-2.0) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (thinkingjimmy/Learning-Prompt) · observed Jul 28, 2026
- GitHub forks (thinkingjimmy/Learning-Prompt) · observed Jul 28, 2026
- Last push (thinkingjimmy/Learning-Prompt) · observed Sep 17, 2023
- License file (Other) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Awesome-Prompt-Engineering 6.2k · Learning-Prompt 5.3k (synced Jul 28, 2026).
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 and Learning-Prompt alternatives (Awesome-Prompt-Engineering markdown twin, Learning-Prompt markdown twin), 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 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; Learning-Prompt trust report.