Comparison
awesome-prompts vs Awesome-AIGC-Tutorials
Verdict
Pick awesome-prompts if awesome-prompts is a collection of rated GPT prompts from the GPTs Store with a focus on engineering, attacks, protections, and academic papers; pick Awesome-AIGC-Tutorials if awesome-AIGC-Tutorials supplies specialized guidance on Large Language Models and AI-generated artistry.
Markdown twin · awesome-prompts alternatives · Awesome-AIGC-Tutorials alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | awesome-prompts | Awesome-AIGC-Tutorials |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1mo · github_public_v1 | Dormant (848d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1mo · github_public_v1 | Not a fork · Organization account As of 3w · 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-prompts
- Curated chatgpt prompts and advanced prompt engineering papers
- Awesome-AIGC-Tutorials
- Curated tutorials and resources for Large Language Models, AI Painting, and more
Stars
- awesome-prompts
- 8.4k
- Awesome-AIGC-Tutorials
- 4.5k
Forks
- awesome-prompts
- 798
- Awesome-AIGC-Tutorials
- 303
Open issues
- awesome-prompts
- 35
- Awesome-AIGC-Tutorials
- 10
Language
- awesome-prompts
- -
- Awesome-AIGC-Tutorials
- -
Adopt for
- awesome-prompts
- awesome-prompts is a collection of rated GPT prompts from the GPTs Store with a focus on engineering, attacks, protections, and academic papers.
- Awesome-AIGC-Tutorials
- Awesome-AIGC-Tutorials supplies specialized guidance on Large Language Models and AI-generated artistry.
Persona
- awesome-prompts
- -
- Awesome-AIGC-Tutorials
- -
Runtime
- awesome-prompts
- -
- Awesome-AIGC-Tutorials
- -
License
- awesome-prompts
- GPL-3.0
- Awesome-AIGC-Tutorials
- MIT license allows for free use in both open-source and proprietary products, with attribution required to the authors.
Last pushed
- awesome-prompts
- Jul 11, 2026
- Awesome-AIGC-Tutorials
- Mar 31, 2024
Categories
- awesome-prompts
- Developer Tools
- Awesome-AIGC-Tutorials
- Developer Tools, LLM Frameworks, Model Training
Trust and health
Maintenance
- awesome-prompts
- Very active (96%)
- Awesome-AIGC-Tutorials
- Dormant (18%)
Days since push
- awesome-prompts
- 0d
- Awesome-AIGC-Tutorials
- 848d
Open issues (now)
- awesome-prompts
- 35
- Awesome-AIGC-Tutorials
- 10
Owner type
- awesome-prompts
- User
- Awesome-AIGC-Tutorials
- Organization
Full report
- awesome-prompts
- Trust report
- Awesome-AIGC-Tutorials
- Trust report
Choose awesome-prompts if…
- License: awesome-prompts is GPL-3.0, Awesome-AIGC-Tutorials is MIT.
- Tags unique to awesome-prompts: awesome-list, prompt-attack, prompt-engineering, prompt-protect.
- Need detailed prompt engineering resources
When NOT to use awesome-prompts
- Seeking a platform for generating new prompts rather than reviewing existing ones
- In search of direct support tools or services, not just informational content
- Requiring real-time collaboration on prompt creation and experimentation
Choose Awesome-AIGC-Tutorials if…
- License: Awesome-AIGC-Tutorials is MIT, awesome-prompts is GPL-3.0.
- Requirements: No specific technical prerequisites are listed. Basic understanding of AI concepts like LLMs and NLP is beneficial..
- Tags unique to Awesome-AIGC-Tutorials: ai, aigc, deep-learning, llm.
- Also covers LLM Frameworks, Model Training.
- If you aim to deepen your understanding of prompt engineering for models like MidJourney or Stable Diffusion, this repository offers focused tutorials and resources.
When NOT to use Awesome-AIGC-Tutorials
- Avoid if you are looking for a one-stop-shop coding platform, as Awesome-AIGC-Tutorials provides theoretical knowledge and tutorials rather than practical code samples.
- Not suitable if your focus is solely on the commercial deployment of large language models; this repository does not cover market-specific insights or competitive analysis.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ai-boost/awesome-prompts) · observed Jul 28, 2026
- GitHub forks (ai-boost/awesome-prompts) · observed Jul 28, 2026
- Last push (ai-boost/awesome-prompts) · observed Jul 11, 2026
- License file (GPL-3.0) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (luban-agi/Awesome-AIGC-Tutorials) · observed Jul 28, 2026
- GitHub forks (luban-agi/Awesome-AIGC-Tutorials) · observed Jul 28, 2026
- Last push (luban-agi/Awesome-AIGC-Tutorials) · observed Mar 31, 2024
- License file (MIT) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-prompts 8.4k · Awesome-AIGC-Tutorials 4.5k (synced Jul 28, 2026).
Common questions
- What is the difference between awesome-prompts and Awesome-AIGC-Tutorials?
- awesome-prompts: Curated chatgpt prompts and advanced prompt engineering papers. Awesome-AIGC-Tutorials: Curated tutorials and resources for Large Language Models, AI Painting, and more. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-prompts over Awesome-AIGC-Tutorials?
- Choose awesome-prompts over Awesome-AIGC-Tutorials when License: awesome-prompts is GPL-3.0, Awesome-AIGC-Tutorials is MIT; Tags unique to awesome-prompts: awesome-list, prompt-attack, prompt-engineering, prompt-protect; Need detailed prompt engineering resources.
- When should I choose Awesome-AIGC-Tutorials over awesome-prompts?
- Choose Awesome-AIGC-Tutorials over awesome-prompts when License: Awesome-AIGC-Tutorials is MIT, awesome-prompts is GPL-3.0; Requirements: No specific technical prerequisites are listed. Basic understanding of AI concepts like LLMs and NLP is beneficial.; Tags unique to Awesome-AIGC-Tutorials: ai, aigc, deep-learning, llm; Also covers LLM Frameworks, Model Training; If you aim to deepen your understanding of prompt engineering for models like MidJourney or Stable Diffusion, this repository offers focused tutorials and resources.
- When should I avoid awesome-prompts?
- Seeking a platform for generating new prompts rather than reviewing existing ones In search of direct support tools or services, not just informational content Requiring real-time collaboration on prompt creation and experimentation
- When should I avoid Awesome-AIGC-Tutorials?
- Avoid if you are looking for a one-stop-shop coding platform, as Awesome-AIGC-Tutorials provides theoretical knowledge and tutorials rather than practical code samples. Not suitable if your focus is solely on the commercial deployment of large language models; this repository does not cover market-specific insights or competitive analysis.
- Is awesome-prompts or Awesome-AIGC-Tutorials more popular on GitHub?
- awesome-prompts has more GitHub stars (8,440 vs 4,522). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-prompts and Awesome-AIGC-Tutorials open source?
- Yes - both are open-source projects on GitHub (awesome-prompts: GPL-3.0, Awesome-AIGC-Tutorials: MIT).
- Where can I find alternatives to awesome-prompts or Awesome-AIGC-Tutorials?
- GraphCanon lists graph-backed alternatives at awesome-prompts alternatives and Awesome-AIGC-Tutorials alternatives (awesome-prompts markdown twin, Awesome-AIGC-Tutorials 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-prompts or Awesome-AIGC-Tutorials?
- awesome-prompts: Very active. Awesome-AIGC-Tutorials: 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-prompts and Awesome-AIGC-Tutorials?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-prompts trust report; Awesome-AIGC-Tutorials trust report.