--- title: "ps-fuzz vs awesome" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/prompt-security-ps-fuzz-vs-sindresorhus-awesome" tools: ["prompt-security-ps-fuzz", "sindresorhus-awesome"] --- # ps-fuzz vs awesome *GraphCanon updated Jul 12, 2026* ## Verdict Pick ps-fuzz when license: ps-fuzz is MIT, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, ps-fuzz is MIT. [ps-fuzz](https://www.prompt.security/fuzzer) reports 693 GitHub stars, 100 forks, and 20 open issues, last pushed Feb 16, 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 [ps-fuzz's repository](https://github.com/prompt-security/ps-fuzz) and [awesome's repository](https://github.com/sindresorhus/awesome). | | [ps-fuzz](/tools/prompt-security-ps-fuzz.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Tagline | Make your GenAI Apps Safe & Secure :rocket: Test & harden your system prompt | 😎 Awesome lists about all kinds of interesting topics | | Stars | 693 | 484,026 | | Forks | 100 | 35,799 | | Open issues | 20 | 92 | | Language | Python | - | | Adopt for | - | A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. | | Persona | - | - | | Runtime | - | - | | License | MIT | CC0-1.0 | | Categories | LLM Frameworks | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ps-fuzz](/tools/prompt-security-ps-fuzz.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Active (82%) | | Days since push | 145d | 11d | | Open issues (now) | 20 | 92 | | Owner type | Organization | User | | Full report | [trust report](/tools/prompt-security-ps-fuzz/trust.md) | [trust report](/tools/sindresorhus-awesome/trust.md) | ## Decision facts: awesome - **Adopt for:** A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. ## Choose when ### Choose ps-fuzz if… - License: ps-fuzz is MIT, awesome is CC0-1.0. - Tags unique to ps-fuzz: ai, ai-fuzzer, fuzzer, generative-ai. - Also covers LLM Frameworks. ### Choose awesome if… - License: awesome is CC0-1.0, ps-fuzz is MIT. - Tags unique to awesome: awesome, awesome-list, lists, resources. - Also covers Developer Tools. - When you need well-organized access to diverse technical subjects from IoT to robotics ## When NOT to use ps-fuzz - Last GitHub push was 146 days ago (slowing maintenance, Feb 16, 2026). Validate activity before betting a new project on ps-fuzz. - 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 - If seeking specific coding frameworks or libraries for software development rather than hardware-focused resources - In scenarios requiring real-time interactive support or forums, as the content is static lists without active discussion ## Common questions ### What is the difference between ps-fuzz and awesome? ps-fuzz: Make your GenAI Apps Safe & Secure :rocket: Test & harden your system prompt. awesome: 😎 Awesome lists about all kinds of interesting topics. See the comparison table for live GitHub stats and shared categories. ### When should I choose ps-fuzz over awesome? Choose ps-fuzz over awesome when License: ps-fuzz is MIT, awesome is CC0-1.0; Tags unique to ps-fuzz: ai, ai-fuzzer, fuzzer, generative-ai; Also covers LLM Frameworks. ### When should I choose awesome over ps-fuzz? Choose awesome over ps-fuzz when License: awesome is CC0-1.0, ps-fuzz is MIT; Tags unique to awesome: awesome, awesome-list, lists, resources; Also covers Developer Tools; When you need well-organized access to diverse technical subjects from IoT to robotics. ### When should I avoid ps-fuzz? Last GitHub push was 146 days ago (slowing maintenance, Feb 16, 2026). Validate activity before betting a new project on ps-fuzz. 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? If seeking specific coding frameworks or libraries for software development rather than hardware-focused resources In scenarios requiring real-time interactive support or forums, as the content is static lists without active discussion ### Is ps-fuzz or awesome more popular on GitHub? awesome has more GitHub stars (484,026 vs 693). Stars measure visibility, not whether either tool fits your constraints. ### Are ps-fuzz and awesome open source? Yes - both are open-source projects on GitHub (ps-fuzz: MIT, awesome: CC0-1.0). ### Where can I find alternatives to ps-fuzz or awesome? GraphCanon lists graph-backed alternatives at [ps-fuzz alternatives](/tools/prompt-security-ps-fuzz/alternatives) and [awesome alternatives](/tools/sindresorhus-awesome/alternatives) ([ps-fuzz markdown twin](/tools/prompt-security-ps-fuzz/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/prompt-security-ps-fuzz-vs-sindresorhus-awesome.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ps-fuzz or awesome? ps-fuzz: 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 ps-fuzz and awesome? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ps-fuzz trust report](/tools/prompt-security-ps-fuzz/trust); [awesome trust report](/tools/sindresorhus-awesome/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=prompt-security-ps-fuzz`](/api/graphcanon/graph?tool=prompt-security-ps-fuzz) - 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/_