--- title: "PurpleLlama vs ps-fuzz" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/meta-llama-purplellama-vs-prompt-security-ps-fuzz" tools: ["meta-llama-purplellama", "prompt-security-ps-fuzz"] --- # PurpleLlama vs ps-fuzz *GraphCanon updated Aug 5, 2026* ## Verdict Pick PurpleLlama when license: PurpleLlama is Other, ps-fuzz is MIT; pick ps-fuzz when license: ps-fuzz is MIT, PurpleLlama is Other. [PurpleLlama](https://github.com/meta-llama/PurpleLlama) reports 4.3k GitHub stars, 766 forks, and 80 open issues, last pushed Jul 27, 2026. [ps-fuzz](https://www.prompt.security/fuzzer) has 702 stars, 102 forks, and 20 open issues, last pushed Feb 16, 2026. Figures are from public GitHub metadata via [PurpleLlama's repository](https://github.com/meta-llama/PurpleLlama) and [ps-fuzz's repository](https://github.com/prompt-security/ps-fuzz). | | [PurpleLlama](/tools/meta-llama-purplellama.md) | [ps-fuzz](/tools/prompt-security-ps-fuzz.md) | | --- | --- | --- | | Tagline | Set of tools to assess and improve LLM security | Test and harden system prompts for GenAI apps to ensure safety and security. | | Stars | 4,330 | 702 | | Forks | 766 | 102 | | Open issues | 80 | 20 | | Language | Python | Python | | Adopt for | PurpleLlama provides tools to enhance the security and trust of large language models using MIT licenses for benchmarks and community-specific licenses for safeguard components. | - | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | Developer Tools, Evaluation & Observability | Developer Tools, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [PurpleLlama](/tools/meta-llama-purplellama.md) | [ps-fuzz](/tools/prompt-security-ps-fuzz.md) | | --- | --- | --- | | Maintenance | Active (82%) | Slowing (36%) | | Days since push | 8d | 169d | | Open issues (now) | 80 | 20 | | Full report | [trust report](/tools/meta-llama-purplellama/trust.md) | [trust report](/tools/prompt-security-ps-fuzz/trust.md) | ## Decision facts: PurpleLlama - **Adopt for:** PurpleLlama provides tools to enhance the security and trust of large language models using MIT licenses for benchmarks and community-specific licenses for safeguard components. ## Choose when ### Choose PurpleLlama if… - License: PurpleLlama is Other, ps-fuzz is MIT. - Tags unique to PurpleLlama: benchmarks, evaluations, llm security tools, security. - When you need permissive licenses that fit both research and commercial purposes ### Choose ps-fuzz if… - License: ps-fuzz is MIT, PurpleLlama is Other. - Tags unique to ps-fuzz: ai-fuzzer, fuzzer, generative-ai, llm-fuzzer. - When you need to methodically test system prompts in generative AI applications for potential security flaws. ## When NOT to use PurpleLlama - If your project requires consistent licensing across all components under one standard license like GPL or Apache-2.0 - When you prefer not to adhere to the Llama Community Licenses for safeguard functionalities ## When NOT to use ps-fuzz - If your project does not involve generative AI applications or does not require prompt testing for security reasons. - For tasks unrelated to the hardening and evaluation of system prompts, as ps-fuzz is specifically designed for this purpose. ## Common questions ### What is the difference between PurpleLlama and ps-fuzz? PurpleLlama: Set of tools to assess and improve LLM security. ps-fuzz: Test and harden system prompts for GenAI apps to ensure safety and security.. See the comparison table for live GitHub stats and shared categories. ### When should I choose PurpleLlama over ps-fuzz? Choose PurpleLlama over ps-fuzz when License: PurpleLlama is Other, ps-fuzz is MIT; Tags unique to PurpleLlama: benchmarks, evaluations, llm security tools, security; When you need permissive licenses that fit both research and commercial purposes. ### When should I choose ps-fuzz over PurpleLlama? Choose ps-fuzz over PurpleLlama when License: ps-fuzz is MIT, PurpleLlama is Other; Tags unique to ps-fuzz: ai-fuzzer, fuzzer, generative-ai, llm-fuzzer; When you need to methodically test system prompts in generative AI applications for potential security flaws. ### When should I avoid PurpleLlama? If your project requires consistent licensing across all components under one standard license like GPL or Apache-2.0 When you prefer not to adhere to the Llama Community Licenses for safeguard functionalities ### When should I avoid ps-fuzz? If your project does not involve generative AI applications or does not require prompt testing for security reasons. For tasks unrelated to the hardening and evaluation of system prompts, as ps-fuzz is specifically designed for this purpose. ### Is PurpleLlama or ps-fuzz more popular on GitHub? PurpleLlama has more GitHub stars (4,330 vs 702). Stars measure visibility, not whether either tool fits your constraints. ### Are PurpleLlama and ps-fuzz open source? Yes - both are open-source projects on GitHub (PurpleLlama: Other, ps-fuzz: MIT). ### Where can I find alternatives to PurpleLlama or ps-fuzz? GraphCanon lists graph-backed alternatives at [PurpleLlama alternatives](/tools/meta-llama-purplellama/alternatives) and [ps-fuzz alternatives](/tools/prompt-security-ps-fuzz/alternatives) ([PurpleLlama markdown twin](/tools/meta-llama-purplellama/alternatives.md), [ps-fuzz markdown twin](/tools/prompt-security-ps-fuzz/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/meta-llama-purplellama-vs-prompt-security-ps-fuzz.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, PurpleLlama or ps-fuzz? PurpleLlama: Active. ps-fuzz: Slowing. 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 PurpleLlama and ps-fuzz? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [PurpleLlama trust report](/tools/meta-llama-purplellama/trust); [ps-fuzz trust report](/tools/prompt-security-ps-fuzz/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=meta-llama-purplellama`](/api/graphcanon/graph?tool=meta-llama-purplellama) - 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/_