--- title: "hypersigil vs ps-fuzz" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hypersigilhq-hypersigil-vs-prompt-security-ps-fuzz" tools: ["hypersigilhq-hypersigil", "prompt-security-ps-fuzz"] --- # hypersigil vs ps-fuzz *GraphCanon updated Oct 6, 2026* ## Verdict Pick hypersigil when hypersigil is primarily Vue; ps-fuzz is Python; pick ps-fuzz when ps-fuzz is primarily Python; hypersigil is Vue. [hypersigil](https://hypersigilhq.github.io/hypersigil/introduction/) reports 28 GitHub stars, 2 forks, and 0 open issues, last pushed Apr 17, 2026. [ps-fuzz](https://www.prompt.security/fuzzer) has 715 stars, 104 forks, and 20 open issues, last pushed Aug 19, 2026. Figures are from public GitHub metadata via [hypersigil's repository](https://github.com/hypersigilhq/hypersigil) and [ps-fuzz's repository](https://github.com/prompt-security/ps-fuzz). | | [hypersigil](/tools/hypersigilhq-hypersigil.md) | [ps-fuzz](/tools/prompt-security-ps-fuzz.md) | | --- | --- | --- | | Tagline | Prompt management gateway with UI for AI applications | Test and harden system prompts for GenAI apps to ensure safety and security. | | Stars | 28 | 715 | | Forks | 2 | 104 | | Open issues | 0 | 20 | | Language | Vue | Python | | Adopt for | Hypersigil is a prompt management gateway with a user interface designed for non-technical users to test, refine, and deploy prompts across multiple AI providers. | - | | Persona | - | - | | Runtime | - | - | | License | Hypersigil is licensed under Apache 2.0 with Commons Clause, allowing internal business use, modification, and distribution, but prohibiting commercial selling. | MIT | | Categories | Developer Tools, Evaluation & Observability | Developer Tools, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [hypersigil](/tools/hypersigilhq-hypersigil.md) | [ps-fuzz](/tools/prompt-security-ps-fuzz.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Steady (60%) | | Days since push | 153d | 47d | | Open issues (now) | 0 | 20 | | Stars delta | +1 (30d) | +8 (30d) | | Open issues delta | 0 (30d) | +1 (30d) | | Full report | [trust report](/tools/hypersigilhq-hypersigil/trust.md) | [trust report](/tools/prompt-security-ps-fuzz/trust.md) | ## Decision facts: hypersigil - **Pricing:** freemium - Free to use and modify for internal purposes, but cannot be sold commercially. - **Requirements:** Min 2 GB RAM; Requires Docker; Requires Docker for running the application in a containerized environment.; Needs a Vue.js frontend and a backend server to be started separately for full functionality. - **Adopt for:** Hypersigil is a prompt management gateway with a user interface designed for non-technical users to test, refine, and deploy prompts across multiple AI providers. - **License detail:** Hypersigil is licensed under Apache 2.0 with Commons Clause, allowing internal business use, modification, and distribution, but prohibiting commercial selling. ## Choose when ### Choose hypersigil if… - hypersigil is primarily Vue; ps-fuzz is Python. - License: hypersigil is Other, ps-fuzz is MIT. - Pricing: Free to use and modify for internal purposes, but cannot be sold commercially.. - Requirements: Min 2 GB RAM; Requires Docker; Requires Docker for running the application in a containerized environment.; Needs a Vue.js frontend and a backend server to be started separately for full functionality.. - Tags unique to hypersigil: llm, llm-evaluation, llm-gateway, prompt-engineering. - hypersigil ships Docker support for self-hosted deployment. - When you need a tool that allows non-technical users to manage prompts effectively without deep technical knowledge. ### Choose ps-fuzz if… - ps-fuzz is primarily Python; hypersigil is Vue. - License: ps-fuzz is MIT, hypersigil 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 hypersigil - If you are looking for a tool that can be sold commercially as a product or service, as Hypersigil's license prohibits commercial selling. - When you require a tool that does not involve a user interface and prefers command-line operations for prompt management. ## 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 hypersigil and ps-fuzz? hypersigil: Prompt management gateway with UI for AI applications. 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 hypersigil over ps-fuzz? Choose hypersigil over ps-fuzz when hypersigil is primarily Vue; ps-fuzz is Python; License: hypersigil is Other, ps-fuzz is MIT; Pricing: Free to use and modify for internal purposes, but cannot be sold commercially.; Requirements: Min 2 GB RAM; Requires Docker; Requires Docker for running the application in a containerized environment.; Needs a Vue.js frontend and a backend server to be started separately for full functionality.; Tags unique to hypersigil: llm, llm-evaluation, llm-gateway, prompt-engineering; hypersigil ships Docker support for self-hosted deployment; When you need a tool that allows non-technical users to manage prompts effectively without deep technical knowledge. ### When should I choose ps-fuzz over hypersigil? Choose ps-fuzz over hypersigil when ps-fuzz is primarily Python; hypersigil is Vue; License: ps-fuzz is MIT, hypersigil 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 hypersigil? If you are looking for a tool that can be sold commercially as a product or service, as Hypersigil's license prohibits commercial selling. When you require a tool that does not involve a user interface and prefers command-line operations for prompt management. ### 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 hypersigil or ps-fuzz more popular on GitHub? ps-fuzz has more GitHub stars (715 vs 28). Stars measure visibility, not whether either tool fits your constraints. ### Are hypersigil and ps-fuzz open source? Yes - both are open-source projects on GitHub (hypersigil: Other, ps-fuzz: MIT). ### Where can I find alternatives to hypersigil or ps-fuzz? GraphCanon lists graph-backed alternatives at [hypersigil alternatives](/tools/hypersigilhq-hypersigil/alternatives) and [ps-fuzz alternatives](/tools/prompt-security-ps-fuzz/alternatives) ([hypersigil markdown twin](/tools/hypersigilhq-hypersigil/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/hypersigilhq-hypersigil-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, hypersigil or ps-fuzz? hypersigil: Slowing. ps-fuzz: Steady. 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 hypersigil and ps-fuzz? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [hypersigil trust report](/tools/hypersigilhq-hypersigil/trust); [ps-fuzz trust report](/tools/prompt-security-ps-fuzz/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=hypersigilhq-hypersigil`](/api/graphcanon/graph?tool=hypersigilhq-hypersigil) - 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/_