Comparison
awesome-prompts vs awesome-gpt
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-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.
Markdown twin · awesome-prompts alternatives · awesome-gpt alternatives
GraphCanon updated Oct 11, 2026
19views this month
vs
Trust & integrity
| Signal | awesome-prompts | awesome-gpt |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 | Dormant (865d since push) As of Oct 11, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Oct 11, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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-gpt
- Curated list of GPT and related resources
Stars
- awesome-prompts
- 8.9k
- awesome-gpt
- 1.0k
Forks
- awesome-prompts
- 867
- awesome-gpt
- 79
Open issues
- awesome-prompts
- 37
- awesome-gpt
- 31
Language
- awesome-prompts
- -
- awesome-gpt
- -
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-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.
Persona
- awesome-prompts
- -
- awesome-gpt
- -
Runtime
- awesome-prompts
- -
- awesome-gpt
- -
License
- awesome-prompts
- GPL-3.0
- awesome-gpt
- -
Last pushed
- awesome-prompts
- Sep 19, 2026
- awesome-gpt
- May 29, 2024
Categories
- awesome-prompts
- Developer Tools
- awesome-gpt
- Developer Tools, LLM Frameworks
Trust and health
Maintenance
- awesome-prompts
- Very active (96%)
- awesome-gpt
- Dormant (18%)
Days since push
- awesome-prompts
- 0d
- awesome-gpt
- 865d
Open issues (now)
- awesome-prompts
- 37
- awesome-gpt
- 31
Stars delta
- awesome-prompts
- +470 (30d)
- awesome-gpt
- +1 (30d)
Full report
- awesome-prompts
- Trust report
- awesome-gpt
- Trust report
Choose awesome-prompts if…
- Tags unique to awesome-prompts: awesome-list, prompt-attack, prompt-engineering, prompt-protect.
- Need detailed prompt engineering resources
- More GitHub stars (8.9k vs 1.0k) - visibility, not fit.
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-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.
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 Sep 20, 2026
- GitHub forks (ai-boost/awesome-prompts) · observed Sep 20, 2026
- Last push (ai-boost/awesome-prompts) · observed Sep 19, 2026
- License file (GPL-3.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (formulahendry/awesome-gpt) · observed Oct 11, 2026
- GitHub forks (formulahendry/awesome-gpt) · observed Oct 11, 2026
- Last push (formulahendry/awesome-gpt) · observed May 29, 2024
- License file (unknown) · observed Oct 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-prompts 8.9k · awesome-gpt 1.0k (synced Sep 20, 2026).
Common questions
- What is the difference between awesome-prompts and awesome-gpt?
- awesome-prompts: Curated chatgpt prompts and advanced prompt engineering papers. awesome-gpt: Curated list of GPT and related resources. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-prompts over awesome-gpt?
- Choose awesome-prompts over awesome-gpt when Tags unique to awesome-prompts: awesome-list, prompt-attack, prompt-engineering, prompt-protect; Need detailed prompt engineering resources; More GitHub stars (8.9k vs 1.0k) - visibility, not fit.
- When should I choose awesome-gpt over awesome-prompts?
- Choose awesome-gpt over awesome-prompts 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 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-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.
- Is awesome-prompts or awesome-gpt more popular on GitHub?
- awesome-prompts has more GitHub stars (8,910 vs 1,045). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-prompts and awesome-gpt open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to awesome-prompts or awesome-gpt?
- GraphCanon lists graph-backed alternatives at awesome-prompts alternatives and awesome-gpt alternatives (awesome-prompts markdown twin, awesome-gpt 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-gpt?
- awesome-prompts: Very active. awesome-gpt: 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-gpt?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-prompts trust report; awesome-gpt trust report.