Comparison
awesome-gpt vs Learning-Prompt
Verdict
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; 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-gpt alternatives · Learning-Prompt alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | awesome-gpt | Learning-Prompt |
|---|---|---|
| Maintenance | Dormant (799d since push) As of 2w · github_public_v1 | Dormant (1045d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · 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-gpt
- Curated list of GPT and related resources
- Learning-Prompt
- Free prompt engineering online course with ChatGPT and Midjourney tutorials
Stars
- awesome-gpt
- 1.0k
- Learning-Prompt
- 5.3k
Forks
- awesome-gpt
- 75
- Learning-Prompt
- 394
Open issues
- awesome-gpt
- 27
- Learning-Prompt
- 16
Language
- awesome-gpt
- -
- Learning-Prompt
- CSS
Adopt for
- awesome-gpt
- 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.
- Learning-Prompt
- Learning-Prompt is an accessible online course for understanding prompt crafting with a focus on ChatGPT and Midjourney.
Persona
- awesome-gpt
- -
- Learning-Prompt
- -
Runtime
- awesome-gpt
- -
- Learning-Prompt
- -
License
- awesome-gpt
- -
- Learning-Prompt
- Other
Last pushed
- awesome-gpt
- May 29, 2024
- Learning-Prompt
- Sep 17, 2023
Categories
- awesome-gpt
- Developer Tools, LLM Frameworks
- Learning-Prompt
- Developer Tools
Trust and health
Days since push
- awesome-gpt
- 799d
- Learning-Prompt
- 1045d
Open issues (now)
- awesome-gpt
- 27
- Learning-Prompt
- 16
Full report
- awesome-gpt
- Trust report
- Learning-Prompt
- Trust report
Shared compatibility
- ChatGPT · awesome-gpt: Works with ChatGPT · Learning-Prompt: Works with ChatGPT
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-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.
Choose Learning-Prompt if…
- 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, prompt-engineering.
- 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 (formulahendry/awesome-gpt) · observed Aug 6, 2026
- GitHub forks (formulahendry/awesome-gpt) · observed Aug 6, 2026
- Last push (formulahendry/awesome-gpt) · observed May 29, 2024
- License file (unknown) · observed Aug 6, 2026
- Decision facts (enrichment) · observed Jul 11, 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-gpt 1.0k · Learning-Prompt 5.3k (synced Aug 6, 2026).
Common questions
- What is the difference between awesome-gpt and Learning-Prompt?
- awesome-gpt: Curated list of GPT and related resources. 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-gpt over Learning-Prompt?
- Choose awesome-gpt over Learning-Prompt 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 choose Learning-Prompt over awesome-gpt?
- Choose Learning-Prompt over awesome-gpt when 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, prompt-engineering; 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-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.
- 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-gpt or Learning-Prompt more popular on GitHub?
- Learning-Prompt has more GitHub stars (5,314 vs 1,043). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-gpt and Learning-Prompt open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to awesome-gpt or Learning-Prompt?
- GraphCanon lists graph-backed alternatives at awesome-gpt alternatives and Learning-Prompt alternatives (awesome-gpt 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-gpt or Learning-Prompt?
- awesome-gpt: Dormant. 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-gpt and Learning-Prompt?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-gpt trust report; Learning-Prompt trust report.