--- title: "GPTFuzz vs awesome" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/sherdencooper-gptfuzz-vs-sindresorhus-awesome" tools: ["sherdencooper-gptfuzz", "sindresorhus-awesome"] --- # GPTFuzz vs awesome *GraphCanon updated Jul 12, 2026* ## 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. [GPTFuzz](https://github.com/sherdencooper/GPTFuzz) reports 597 GitHub stars, 86 forks, and 17 open issues, last pushed Feb 27, 2026. [awesome](https://github.com/sindresorhus/awesome) has 484k stars, 36k forks, and 92 open issues, last pushed Jun 30, 2026. Figures are from public GitHub metadata via [GPTFuzz's repository](https://github.com/sherdencooper/GPTFuzz) and [awesome's repository](https://github.com/sindresorhus/awesome). | | [GPTFuzz](/tools/sherdencooper-gptfuzz.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Tagline | Official repo for GPTFUZZER : Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts | 😎 Curated list of awesome topics including hardware resources | | Stars | 597 | 484,026 | | Forks | 86 | 35,799 | | Open issues | 17 | 92 | | Language | Python | - | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | CC0-1.0 | | Categories | LLM Frameworks | LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [GPTFuzz](/tools/sherdencooper-gptfuzz.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Active (82%) | | Days since push | 134d | 11d | | Open issues (now) | 17 | 92 | | Full report | [trust report](/tools/sherdencooper-gptfuzz/trust.md) | [trust report](/tools/sindresorhus-awesome/trust.md) | ## Choose when ### Choose GPTFuzz if… - License: GPTFuzz is MIT, awesome is CC0-1.0. - Tags unique to GPTFuzz: python. - Leaner open-issue backlog (17). ### 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 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 NOT to use awesome - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## 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](/tools/sherdencooper-gptfuzz/alternatives) and [awesome alternatives](/tools/sindresorhus-awesome/alternatives) ([GPTFuzz markdown twin](/tools/sherdencooper-gptfuzz/alternatives.md), [awesome markdown twin](/tools/sindresorhus-awesome/alternatives.md)), 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](/compare/sherdencooper-gptfuzz-vs-sindresorhus-awesome.md) 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](/tools/sherdencooper-gptfuzz/trust); [awesome trust report](/tools/sindresorhus-awesome/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=sherdencooper-gptfuzz`](/api/graphcanon/graph?tool=sherdencooper-gptfuzz) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_