Comparison
awesome-prompts vs awesome
Verdict
Pick awesome-prompts when license: awesome-prompts is GPL-3.0, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, awesome-prompts is GPL-3.0.
Markdown twin · awesome-prompts alternatives · awesome alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | awesome-prompts | awesome |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Active (11d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- awesome-prompts
- Curated list of chatgpt prompts from the top-rated GPTs in the GPTs Store. Prompt Engineering, prompt attack & prompt protect. Advanced Prompt Engineering papers.
- awesome
- 😎 Curated list of awesome topics including hardware resources
Stars
- awesome-prompts
- 8.4k
- awesome
- 484k
Forks
- awesome-prompts
- 798
- awesome
- 36k
Open issues
- awesome-prompts
- 35
- awesome
- 92
Language
- awesome-prompts
- -
- awesome
- -
Adopt for
- awesome-prompts
- -
- awesome
- -
Persona
- awesome-prompts
- -
- awesome
- -
Runtime
- awesome-prompts
- -
- awesome
- -
License
- awesome-prompts
- GPL-3.0
- awesome
- CC0-1.0
Last pushed
- awesome-prompts
- Jul 11, 2026
- awesome
- Jun 30, 2026
Categories
- awesome-prompts
- LLM Frameworks
- awesome
- LLM Frameworks
Trust and health
Maintenance
- awesome-prompts
- Very active (96%)
- awesome
- Active (82%)
Days since push
- awesome-prompts
- 0d
- awesome
- 11d
Open issues (now)
- awesome-prompts
- 35
- awesome
- 92
Full report
- awesome-prompts
- Trust report
- awesome
- Trust report
Choose awesome-prompts if…
- License: awesome-prompts is GPL-3.0, awesome is CC0-1.0.
- Tags unique to awesome-prompts: awesome, chatgpt, gpt4, gpts.
- More recently updated (last pushed Jul 11, 2026).
When NOT to use awesome-prompts
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Choose awesome if…
- License: awesome is CC0-1.0, awesome-prompts is GPL-3.0.
- Tags unique to awesome: resources.
- More GitHub stars (484k vs 8.4k) - visibility, not fit.
When NOT to use awesome
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
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 11, 2026
- GitHub forks (ai-boost/awesome-prompts) · observed Jul 11, 2026
- Last push (ai-boost/awesome-prompts) · observed Jul 11, 2026
- License file (GPL-3.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (sindresorhus/awesome) · observed Jul 11, 2026
- GitHub forks (sindresorhus/awesome) · observed Jul 11, 2026
- Last push (sindresorhus/awesome) · observed Jun 30, 2026
- License file (CC0-1.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-prompts 8.4k · awesome 484k (synced Jul 11, 2026).
Common questions
- What is the difference between awesome-prompts and awesome?
- awesome-prompts: Curated list of chatgpt prompts from the top-rated GPTs in the GPTs Store. Prompt Engineering, prompt attack & prompt protect. Advanced Prompt Engineering papers.. awesome: 😎 Curated list of awesome topics including hardware resources. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-prompts over awesome?
- Choose awesome-prompts over awesome when License: awesome-prompts is GPL-3.0, awesome is CC0-1.0; Tags unique to awesome-prompts: awesome, chatgpt, gpt4, gpts; More recently updated (last pushed Jul 11, 2026).
- When should I choose awesome over awesome-prompts?
- Choose awesome over awesome-prompts when License: awesome is CC0-1.0, awesome-prompts is GPL-3.0; Tags unique to awesome: resources; More GitHub stars (484k vs 8.4k) - visibility, not fit.
- When should I avoid awesome-prompts?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- When should I avoid awesome?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Is awesome-prompts or awesome more popular on GitHub?
- awesome has more GitHub stars (484,026 vs 8,440). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-prompts and awesome open source?
- Yes - both are open-source projects on GitHub (awesome-prompts: GPL-3.0, awesome: CC0-1.0).
- Where can I find alternatives to awesome-prompts or awesome?
- GraphCanon lists graph-backed alternatives at awesome-prompts alternatives and awesome alternatives (awesome-prompts markdown twin, awesome 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?
- awesome-prompts: Very active. awesome: Active. 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?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-prompts trust report; awesome trust report.