Comparison
awesome-prompts vs humanizer
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 humanizer if humanizer is a tool designed to remove signs that identify text was generated by an AI system. It can be personalized using samples of the user's own writing.
Markdown twin · awesome-prompts alternatives · humanizer alternatives
GraphCanon updated Oct 10, 2026
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Trust & integrity
| Signal | awesome-prompts | humanizer |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 | Active (12d since push) As of Oct 10, 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 10, 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
- humanizer
- A tool to remove signs of AI-generated text
Stars
- awesome-prompts
- 8.9k
- humanizer
- 55k
Forks
- awesome-prompts
- 867
- humanizer
- 4.4k
Open issues
- awesome-prompts
- 37
- humanizer
- 3
Language
- awesome-prompts
- -
- humanizer
- Python
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.
- humanizer
- humanizer is a tool designed to remove signs that identify text was generated by an AI system. It can be personalized using samples of the user's own writing.
Persona
- awesome-prompts
- -
- humanizer
- -
Runtime
- awesome-prompts
- -
- humanizer
- -
License
- awesome-prompts
- GPL-3.0
- humanizer
- MIT
Last pushed
- awesome-prompts
- Sep 19, 2026
- humanizer
- Sep 28, 2026
Categories
- awesome-prompts
- Developer Tools
- humanizer
- Developer Tools
Trust and health
Maintenance
- awesome-prompts
- Very active (96%)
- humanizer
- Active (82%)
Days since push
- awesome-prompts
- 0d
- humanizer
- 12d
Open issues (now)
- awesome-prompts
- 37
- humanizer
- 3
Stars delta
- awesome-prompts
- +470 (30d)
- humanizer
- +12k (30d)
Open issues delta
- awesome-prompts
- +2 (30d)
- humanizer
- -34 (30d)
Full report
- awesome-prompts
- Trust report
- humanizer
- Trust report
Choose awesome-prompts if…
- License: awesome-prompts is GPL-3.0, humanizer is MIT.
- Tags unique to awesome-prompts: awesome-list, chatgpt, prompt-attack, prompt-engineering.
- 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 humanizer if…
- License: humanizer is MIT, awesome-prompts is GPL-3.0.
- Tags unique to humanizer: ai text correction, text polishing, voice matching for text.
- When you need to make AI-generated content more human-like without losing its original meaning or intent.
When NOT to use humanizer
- When the exact structure, tone, or style of the AI text is intentionally maintained for particular purposes such as showcasing technological output.
- If the content requires legal review to ensure it adheres strictly to its original form without alterations that could change meaning or implications inadvertently.
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 (blader/humanizer) · observed Oct 10, 2026
- GitHub forks (blader/humanizer) · observed Oct 10, 2026
- Last push (blader/humanizer) · observed Sep 28, 2026
- License file (MIT) · observed Oct 10, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-prompts 8.9k · humanizer 55k (synced Sep 20, 2026).
Common questions
- What is the difference between awesome-prompts and humanizer?
- awesome-prompts: Curated chatgpt prompts and advanced prompt engineering papers. humanizer: A tool to remove signs of AI-generated text. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-prompts over humanizer?
- Choose awesome-prompts over humanizer when License: awesome-prompts is GPL-3.0, humanizer is MIT; Tags unique to awesome-prompts: awesome-list, chatgpt, prompt-attack, prompt-engineering; Need detailed prompt engineering resources.
- When should I choose humanizer over awesome-prompts?
- Choose humanizer over awesome-prompts when License: humanizer is MIT, awesome-prompts is GPL-3.0; Tags unique to humanizer: ai text correction, text polishing, voice matching for text; When you need to make AI-generated content more human-like without losing its original meaning or intent.
- 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 humanizer?
- When the exact structure, tone, or style of the AI text is intentionally maintained for particular purposes such as showcasing technological output. If the content requires legal review to ensure it adheres strictly to its original form without alterations that could change meaning or implications inadvertently.
- Is awesome-prompts or humanizer more popular on GitHub?
- humanizer has more GitHub stars (55,281 vs 8,910). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-prompts and humanizer open source?
- Yes - both are open-source projects on GitHub (awesome-prompts: GPL-3.0, humanizer: MIT).
- Where can I find alternatives to awesome-prompts or humanizer?
- GraphCanon lists graph-backed alternatives at awesome-prompts alternatives and humanizer alternatives (awesome-prompts markdown twin, humanizer 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 humanizer?
- awesome-prompts: Very active. humanizer: 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 humanizer?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-prompts trust report; humanizer trust report.