Comparison
GPTFuzz vs awesome
Verdict
Pick GPTFuzz when license: GPTFuzz is MIT, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, GPTFuzz is MIT.
Markdown twin · GPTFuzz alternatives · awesome alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | GPTFuzz | awesome |
|---|---|---|
| Maintenance | Slowing (134d 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
- GPTFuzz
- Official repo for GPTFUZZER : Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts
- awesome
- 😎 Curated list of awesome topics including hardware resources
Stars
- GPTFuzz
- 597
- awesome
- 484k
Forks
- GPTFuzz
- 86
- awesome
- 36k
Open issues
- GPTFuzz
- 17
- awesome
- 92
Language
- GPTFuzz
- Python
- awesome
- -
Adopt for
- GPTFuzz
- -
- awesome
- -
Persona
- GPTFuzz
- -
- awesome
- -
Runtime
- GPTFuzz
- -
- awesome
- -
License
- GPTFuzz
- MIT
- awesome
- CC0-1.0
Last pushed
- GPTFuzz
- Feb 27, 2026
- awesome
- Jun 30, 2026
Categories
- GPTFuzz
- LLM Frameworks
- awesome
- LLM Frameworks
Trust and health
Maintenance
- GPTFuzz
- Slowing (36%)
- awesome
- Active (82%)
Days since push
- GPTFuzz
- 134d
- awesome
- 11d
Open issues (now)
- GPTFuzz
- 17
- awesome
- 92
Full report
- GPTFuzz
- Trust report
- awesome
- Trust report
Choose GPTFuzz if…
- License: GPTFuzz is MIT, awesome is CC0-1.0.
- Tags unique to GPTFuzz: python.
- Leaner open-issue backlog (17).
When NOT to use GPTFuzz
- Last GitHub push was 134 days ago (slowing maintenance, Feb 27, 2026). Validate activity before betting a new project on GPTFuzz.
- 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, GPTFuzz is MIT.
- Tags unique to awesome: resources, awesome-list.
- More GitHub stars (484k vs 597) - 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 (sherdencooper/GPTFuzz) · observed Jul 11, 2026
- GitHub forks (sherdencooper/GPTFuzz) · observed Jul 11, 2026
- Last push (sherdencooper/GPTFuzz) · observed Feb 27, 2026
- License file (MIT) · 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: GPTFuzz 597 · awesome 484k (synced Jul 11, 2026).
Common questions
- What is the difference between GPTFuzz and awesome?
- GPTFuzz: Official repo for GPTFUZZER : Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts. awesome: 😎 Curated list of awesome topics including hardware resources. See the comparison table for live GitHub stats and shared categories.
- When should I choose GPTFuzz over awesome?
- Choose GPTFuzz over awesome when License: GPTFuzz is MIT, awesome is CC0-1.0; Tags unique to GPTFuzz: python; Leaner open-issue backlog (17).
- When should I choose awesome over GPTFuzz?
- Choose awesome over GPTFuzz when License: awesome is CC0-1.0, GPTFuzz is MIT; Tags unique to awesome: resources, awesome-list; More GitHub stars (484k vs 597) - visibility, not fit.
- When should I avoid GPTFuzz?
- Last GitHub push was 134 days ago (slowing maintenance, Feb 27, 2026). Validate activity before betting a new project on GPTFuzz. 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 GPTFuzz or awesome more popular on GitHub?
- awesome has more GitHub stars (484,026 vs 597). Stars measure visibility, not whether either tool fits your constraints.
- Are GPTFuzz and awesome open source?
- Yes - both are open-source projects on GitHub (GPTFuzz: MIT, awesome: CC0-1.0).
- Where can I find alternatives to GPTFuzz or awesome?
- GraphCanon lists graph-backed alternatives at GPTFuzz alternatives and awesome alternatives (GPTFuzz 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, GPTFuzz or awesome?
- GPTFuzz: Slowing. 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 GPTFuzz and awesome?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: GPTFuzz trust report; awesome trust report.