Comparison
kereva-scanner vs promptguard
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.
Markdown twin · kereva-scanner alternatives · promptguard alternatives
GraphCanon updated Sep 20, 2026
9views this month
vs
Trust & integrity
| Signal | kereva-scanner | promptguard |
|---|---|---|
| Maintenance | Dormant (520d since push) As of Sep 9, 2026 · github_public_v1 | Steady (51d since push) As of Sep 12, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 9, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 12, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- kereva-scanner
- Code scanner to check for issues in prompts and LLM calls
- promptguard
- Audits prompts as behavioral contracts for AI agents.
Stars
- kereva-scanner
- 78
- promptguard
- 86
Forks
- kereva-scanner
- 8
- promptguard
- 1
Open issues
- kereva-scanner
- 3
- promptguard
- 0
Language
- kereva-scanner
- Python
- promptguard
- Python
Adopt for
- kereva-scanner
- kereva-scanner is a specialized code scanner that assesses AI prompts and interactions with language models for potential security vulnerabilities and performance inefficiencies.
- promptguard
- PromptGuard audits prompts for AI agents to ensure safe code generation.
Persona
- kereva-scanner
- -
- promptguard
- -
Runtime
- kereva-scanner
- -
- promptguard
- -
License
- kereva-scanner
- Apache-2.0
- promptguard
- MIT
Last pushed
- kereva-scanner
- Apr 6, 2025
- promptguard
- Jul 22, 2026
Categories
- kereva-scanner
- Developer Tools, Evaluation & Observability
- promptguard
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- kereva-scanner
- Dormant (18%)
- promptguard
- Steady (60%)
Days since push
- kereva-scanner
- 520d
- promptguard
- 51d
Open issues (now)
- kereva-scanner
- 3
- promptguard
- 0
Stars delta
- kereva-scanner
- 0 (30d)
- promptguard
- +5 (30d)
Owner type
- kereva-scanner
- Organization
- promptguard
- User
OSV dependency advisories
- kereva-scanner
- Published findings
- promptguard
- No lockfile (source not queried)
Full report
- kereva-scanner
- Trust report
- promptguard
- Trust report
Shared compatibility
- Python · kereva-scanner: Python runtime · promptguard: Python runtime
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.
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.
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 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (kereva-dev/kereva-scanner) · observed Sep 20, 2026
- GitHub forks (kereva-dev/kereva-scanner) · observed Sep 20, 2026
- Last push (kereva-dev/kereva-scanner) · observed Apr 6, 2025
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (mturac/promptguard) · observed Sep 20, 2026
- GitHub forks (mturac/promptguard) · observed Sep 20, 2026
- Last push (mturac/promptguard) · observed Jul 22, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: kereva-scanner 78 · promptguard 86 (synced Sep 20, 2026).
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 and promptguard alternatives (kereva-scanner markdown twin, promptguard markdown twin), 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 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; promptguard trust report.