--- title: "kereva-scanner vs promptguard" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kereva-dev-kereva-scanner-vs-mturac-promptguard" tools: ["kereva-dev-kereva-scanner", "mturac-promptguard"] --- # kereva-scanner vs promptguard *GraphCanon updated Sep 20, 2026* ## Verdict Pick kereva-scanner if kereva-scanner is a specialized code scanner that assesses AI prompts and interactions with language models for potential security vulnerabilities and performance inefficiencies; pick promptguard if promptGuard audits prompts for AI agents to ensure safe code generation. [kereva-scanner](https://kereva.io) reports 78 GitHub stars, 8 forks, and 3 open issues, last pushed Apr 6, 2025. [promptguard](https://github.com/mturac/promptguard) has 86 stars, 1 forks, and 0 open issues, last pushed Jul 22, 2026. Figures are from public GitHub metadata via [kereva-scanner's repository](https://github.com/kereva-dev/kereva-scanner) and [promptguard's repository](https://github.com/mturac/promptguard). | | [kereva-scanner](/tools/kereva-dev-kereva-scanner.md) | [promptguard](/tools/mturac-promptguard.md) | | --- | --- | --- | | Tagline | Code scanner to check for issues in prompts and LLM calls | Audits prompts as behavioral contracts for AI agents. | | Stars | 78 | 86 | | Forks | 8 | 1 | | Open issues | 3 | 0 | | Language | Python | Python | | Adopt for | kereva-scanner is a specialized code scanner that assesses AI prompts and interactions with language models for potential security vulnerabilities and performance inefficiencies. | PromptGuard audits prompts for AI agents to ensure safe code generation. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Developer Tools, Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [kereva-scanner](/tools/kereva-dev-kereva-scanner.md) | [promptguard](/tools/mturac-promptguard.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Steady (60%) | | Days since push | 520d | 51d | | Open issues (now) | 3 | 0 | | Stars delta | 0 (30d) | +5 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/kereva-dev-kereva-scanner/trust.md) | [trust report](/tools/mturac-promptguard/trust.md) | ## Shared compatibility - **Python**: [kereva-scanner](/tools/kereva-dev-kereva-scanner.md) - Python runtime; [promptguard](/tools/mturac-promptguard.md) - Python runtime ## Decision facts: kereva-scanner - **Pricing:** freemium - The tool is free under the Apache-2.0 license but may have features in a paid version not detailed in the repository. - **Requirements:** - **Adopt for:** kereva-scanner is a specialized code scanner that assesses AI prompts and interactions with language models for potential security vulnerabilities and performance inefficiencies. ## Decision facts: promptguard - **Adopt for:** PromptGuard audits prompts for AI agents to ensure safe code generation. ## Choose when ### Choose kereva-scanner if… - License: kereva-scanner is Apache-2.0, promptguard is MIT. - Pricing: The tool is free under the Apache-2.0 license but may have features in a paid version not detailed in the repository.. - Requirements: . - Tags unique to kereva-scanner: ai-code-review, hallucination, llm-evaluation, llm-security. - Also covers Developer Tools. - When you are developing applications involving AI-generated content or integrations with large language models, to ensure your prompts are secure against attacks such as prompt injection. ### Choose promptguard if… - License: promptguard is MIT, kereva-scanner is Apache-2.0. - Tags unique to promptguard: ai-agents, audit, prompt-engineering, safety. - Also covers AI Agents. - When developing AI agents that generate code and need strict adherence to safety standards ## When NOT to use kereva-scanner - When your project does not involve interactions with language models or AI-generated content, since the scanner's utility is primarily in evaluating AI-related issues. - If you are looking for a comprehensive general code linter that checks for coding standard violations or general best practices unrelated to security and performance of LLMs. ## When NOT to use promptguard - If your project does not involve prompting AI for code generation or execution - In scenarios where real-time prompt auditing is required as it focuses on post-audit analysis ## Common questions ### What is the difference between kereva-scanner and promptguard? kereva-scanner: Code scanner to check for issues in prompts and LLM calls. promptguard: Audits prompts as behavioral contracts for AI agents.. See the comparison table for live GitHub stats and shared categories. ### When should I choose kereva-scanner over promptguard? Choose kereva-scanner over promptguard when License: kereva-scanner is Apache-2.0, promptguard is MIT; Pricing: The tool is free under the Apache-2.0 license but may have features in a paid version not detailed in the repository.; Requirements: ; Tags unique to kereva-scanner: ai-code-review, hallucination, llm-evaluation, llm-security; Also covers Developer Tools; When you are developing applications involving AI-generated content or integrations with large language models, to ensure your prompts are secure against attacks such as prompt injection. ### When should I choose promptguard over kereva-scanner? Choose promptguard over kereva-scanner when License: promptguard is MIT, kereva-scanner is Apache-2.0; Tags unique to promptguard: ai-agents, audit, prompt-engineering, safety; Also covers AI Agents; When developing AI agents that generate code and need strict adherence to safety standards. ### When should I avoid kereva-scanner? When your project does not involve interactions with language models or AI-generated content, since the scanner's utility is primarily in evaluating AI-related issues. If you are looking for a comprehensive general code linter that checks for coding standard violations or general best practices unrelated to security and performance of LLMs. ### When should I avoid promptguard? If your project does not involve prompting AI for code generation or execution In scenarios where real-time prompt auditing is required as it focuses on post-audit analysis ### Is kereva-scanner or promptguard more popular on GitHub? promptguard has more GitHub stars (86 vs 78). Stars measure visibility, not whether either tool fits your constraints. ### Are kereva-scanner and promptguard open source? Yes - both are open-source projects on GitHub (kereva-scanner: Apache-2.0, promptguard: MIT). ### Where can I find alternatives to kereva-scanner or promptguard? GraphCanon lists graph-backed alternatives at [kereva-scanner alternatives](/tools/kereva-dev-kereva-scanner/alternatives) and [promptguard alternatives](/tools/mturac-promptguard/alternatives) ([kereva-scanner markdown twin](/tools/kereva-dev-kereva-scanner/alternatives.md), [promptguard markdown twin](/tools/mturac-promptguard/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/kereva-dev-kereva-scanner-vs-mturac-promptguard.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, kereva-scanner or promptguard? kereva-scanner: Dormant. promptguard: 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 kereva-scanner and promptguard? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [kereva-scanner trust report](/tools/kereva-dev-kereva-scanner/trust); [promptguard trust report](/tools/mturac-promptguard/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=kereva-dev-kereva-scanner`](/api/graphcanon/graph?tool=kereva-dev-kereva-scanner) - 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/_