--- title: "qwed-verification vs PROMPTPurify" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/qwed-ai-qwed-verification-vs-securelayer7-promptpurify" tools: ["qwed-ai-qwed-verification", "securelayer7-promptpurify"] --- # qwed-verification vs PROMPTPurify *GraphCanon updated Sep 20, 2026* ## Verdict Pick qwed-verification if qwed-verification is an open-source tool for deterministic verification of AI outputs, tool calls, code, schemas, and agent state, ensuring reliability and safety before production execution; pick PROMPTPurify if pROMPTPurify, licensed under MIT, provides an ai-safety solution with a focus on jailbreak-detection and prompt-injection-protection for LLM applications without relying on regex or signatures. [qwed-verification](https://docs.qwedai.com/) reports 58 GitHub stars, 13 forks, and 44 open issues, last pushed Sep 18, 2026. [PROMPTPurify](https://anton.securelayer7.net) has 79 stars, 20 forks, and 0 open issues, last pushed May 31, 2026. Figures are from public GitHub metadata via [qwed-verification's repository](https://github.com/QWED-AI/qwed-verification) and [PROMPTPurify's repository](https://github.com/securelayer7/PROMPTPurify). | | [qwed-verification](/tools/qwed-ai-qwed-verification.md) | [PROMPTPurify](/tools/securelayer7-promptpurify.md) | | --- | --- | --- | | Tagline | Open-source AI verification infrastructure for deterministic verification of LLM outputs, tool calls, code, schemas, and agent state before production execution. | Prompt-injection guardrail for LLM applications | | Stars | 58 | 79 | | Forks | 13 | 20 | | Open issues | 44 | 0 | | Language | Python | TypeScript | | Adopt for | qwed-verification is an open-source tool for deterministic verification of AI outputs, tool calls, code, schemas, and agent state, ensuring reliability and safety before production execution. | PROMPTPurify, licensed under MIT, provides an ai-safety solution with a focus on jailbreak-detection and prompt-injection-protection for LLM applications without relying on regex or signatures. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Evaluation & Observability, LLM Frameworks | Evaluation & Observability, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [qwed-verification](/tools/qwed-ai-qwed-verification.md) | [PROMPTPurify](/tools/securelayer7-promptpurify.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 104d | | Open issues (now) | 44 | 0 | | Stars delta | +1 (30d) | +4 (30d) | | Open issues delta | +18 (30d) | 0 (30d) | | Full report | [trust report](/tools/qwed-ai-qwed-verification/trust.md) | [trust report](/tools/securelayer7-promptpurify/trust.md) | ## Decision facts: qwed-verification - **Requirements:** Requires Docker; Requires Docker for deployment.; Installation in development mode involves cloning the repository and using pip to install in editable mode. - **Adopt for:** qwed-verification is an open-source tool for deterministic verification of AI outputs, tool calls, code, schemas, and agent state, ensuring reliability and safety before production execution. - **License detail:** Apache-2.0 ## Decision facts: PROMPTPurify - **Pricing:** freemium - The SDK and model weights of PROMPTPurify come under the MIT license, allowing free usage. However, the full extent of features or services might require a premium setup. - **Requirements:** - This tool is built with TypeScript.; - Ensure familiarity with TypeScript for efficient integration. - **Adopt for:** PROMPTPurify, licensed under MIT, provides an ai-safety solution with a focus on jailbreak-detection and prompt-injection-protection for LLM applications without relying on regex or signatures. ## Choose when ### Choose qwed-verification if… - qwed-verification is primarily Python; PROMPTPurify is TypeScript. - License: qwed-verification is Apache-2.0, PROMPTPurify is MIT. - Requirements: Requires Docker; Requires Docker for deployment.; Installation in development mode involves cloning the repository and using pip to install in editable mode.. - Tags unique to qwed-verification: ai-accuracy, code-security, deterministic-ai, deterministic-verification. - qwed-verification ships Docker support for self-hosted deployment. - When you need deterministic verification of AI outputs and tool calls to ensure reliability and safety before deploying to production. ### Choose PROMPTPurify if… - PROMPTPurify is primarily TypeScript; qwed-verification is Python. - License: PROMPTPurify is MIT, qwed-verification is Apache-2.0. - Pricing: The SDK and model weights of PROMPTPurify come under the MIT license, allowing free usage. However, the full extent of features or services might require a premium setup.. - Requirements: - This tool is built with TypeScript.; - Ensure familiarity with TypeScript for efficient integration.. - Tags unique to PROMPTPurify: ai-firewall, application-security, ctf, guardrails. - - When you require compact model solutions that outperform larger open-source guards. ## When NOT to use qwed-verification - If your project does not require deterministic verification and can tolerate some level of uncertainty in AI outputs. - When you are working on a small-scale project where the overhead of formal verification and fail-closed mechanisms is not justified. - If your project is not compatible with Python or the specific libraries used by qwed-verification, such as sympy and z3-prover. ## When NOT to use PROMPTPurify - - Avoid using PROMPTPurify if your project requires regex or signature-based methods for security purposes, as this tool does not support them. - - Do not use it if you are looking for comprehensive AI-security solutions that extend beyond prompt injection and jailbreak detection. ## Common questions ### What is the difference between qwed-verification and PROMPTPurify? qwed-verification: Open-source AI verification infrastructure for deterministic verification of LLM outputs, tool calls, code, schemas, and agent state before production execution.. PROMPTPurify: Prompt-injection guardrail for LLM applications. See the comparison table for live GitHub stats and shared categories. ### When should I choose qwed-verification over PROMPTPurify? Choose qwed-verification over PROMPTPurify when qwed-verification is primarily Python; PROMPTPurify is TypeScript; License: qwed-verification is Apache-2.0, PROMPTPurify is MIT; Requirements: Requires Docker; Requires Docker for deployment.; Installation in development mode involves cloning the repository and using pip to install in editable mode.; Tags unique to qwed-verification: ai-accuracy, code-security, deterministic-ai, deterministic-verification; qwed-verification ships Docker support for self-hosted deployment; When you need deterministic verification of AI outputs and tool calls to ensure reliability and safety before deploying to production. ### When should I choose PROMPTPurify over qwed-verification? Choose PROMPTPurify over qwed-verification when PROMPTPurify is primarily TypeScript; qwed-verification is Python; License: PROMPTPurify is MIT, qwed-verification is Apache-2.0; Pricing: The SDK and model weights of PROMPTPurify come under the MIT license, allowing free usage. However, the full extent of features or services might require a premium setup.; Requirements: - This tool is built with TypeScript.; - Ensure familiarity with TypeScript for efficient integration.; Tags unique to PROMPTPurify: ai-firewall, application-security, ctf, guardrails; - When you require compact model solutions that outperform larger open-source guards. ### When should I avoid qwed-verification? If your project does not require deterministic verification and can tolerate some level of uncertainty in AI outputs. When you are working on a small-scale project where the overhead of formal verification and fail-closed mechanisms is not justified. If your project is not compatible with Python or the specific libraries used by qwed-verification, such as sympy and z3-prover. ### When should I avoid PROMPTPurify? - Avoid using PROMPTPurify if your project requires regex or signature-based methods for security purposes, as this tool does not support them. - Do not use it if you are looking for comprehensive AI-security solutions that extend beyond prompt injection and jailbreak detection. ### Is qwed-verification or PROMPTPurify more popular on GitHub? PROMPTPurify has more GitHub stars (79 vs 58). Stars measure visibility, not whether either tool fits your constraints. ### Are qwed-verification and PROMPTPurify open source? Yes - both are open-source projects on GitHub (qwed-verification: Apache-2.0, PROMPTPurify: MIT). ### Where can I find alternatives to qwed-verification or PROMPTPurify? GraphCanon lists graph-backed alternatives at [qwed-verification alternatives](/tools/qwed-ai-qwed-verification/alternatives) and [PROMPTPurify alternatives](/tools/securelayer7-promptpurify/alternatives) ([qwed-verification markdown twin](/tools/qwed-ai-qwed-verification/alternatives.md), [PROMPTPurify markdown twin](/tools/securelayer7-promptpurify/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/qwed-ai-qwed-verification-vs-securelayer7-promptpurify.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, qwed-verification or PROMPTPurify? qwed-verification: Very active. PROMPTPurify: 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 qwed-verification and PROMPTPurify? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [qwed-verification trust report](/tools/qwed-ai-qwed-verification/trust); [PROMPTPurify trust report](/tools/securelayer7-promptpurify/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=qwed-ai-qwed-verification`](/api/graphcanon/graph?tool=qwed-ai-qwed-verification) - 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/_