Home/Compare/vigil-llm vs kereva-scanner

Comparison

vigil-llm vs kereva-scanner

Verdict

Pick vigil-llm if vigil-llm is designed for users who need robust security measures to protect against prompt injections and jailbreak attempts in LLMs; 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.

Markdown twin · vigil-llm alternatives · kereva-scanner alternatives

GraphCanon updated Sep 20, 2026

13views this month

vigil-llm logo

vigil-llm

deadbits/vigil-llm

496pushed Jan 31, 2024
vs
kereva-scanner logo

kereva-scanner

kereva-dev/kereva-scanner

78pushed Apr 6, 2025

Trust & integrity

Signalvigil-llmkereva-scanner
Maintenance
Dormant (962d since push)
As of Sep 20, 2026 · github_public_v1
Dormant (520d since push)
As of Sep 9, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 20, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 9, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
Published findings
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

vigil-llm
Detect prompt injections and other risky inputs in LLMs
kereva-scanner
Code scanner to check for issues in prompts and LLM calls

Stars

vigil-llm
496
kereva-scanner
78

Forks

vigil-llm
56
kereva-scanner
8

Open issues

vigil-llm
16
kereva-scanner
3

Language

vigil-llm
Python
kereva-scanner
Python

Adopt for

vigil-llm
Vigil-llm is designed for users who need robust security measures to protect against prompt injections and jailbreak attempts in LLMs.
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.

Persona

vigil-llm
-
kereva-scanner
-

Runtime

vigil-llm
-
kereva-scanner
-

License

vigil-llm
Apache-2.0
kereva-scanner
Apache-2.0

Last pushed

vigil-llm
Jan 31, 2024
kereva-scanner
Apr 6, 2025

Categories

vigil-llm
Evaluation & Observability
kereva-scanner
Developer Tools, Evaluation & Observability

Trust and health

Days since push

vigil-llm
962d
kereva-scanner
520d

Open issues (now)

vigil-llm
16
kereva-scanner
3

Stars delta

vigil-llm
+5 (30d)
kereva-scanner
0 (30d)

Owner type

vigil-llm
User
kereva-scanner
Organization

OSV dependency advisories

vigil-llm
No lockfile (source not queried)
kereva-scanner
Published findings

Full report

vigil-llm
Trust report
kereva-scanner
Trust report

Shared compatibility

  • Python · vigil-llm: Python runtime · kereva-scanner: Python runtime

Choose vigil-llm if…

  • Tags unique to vigil-llm: adversarial-attacks, large-language-models.
  • vigil-llm ships Docker support for self-hosted deployment.
  • When deploying large language models that require high levels of input security, vigil-llm can be employed to detect maliciously crafted inputs intended to manipulate model behavior.

When NOT to use vigil-llm

  • If your application does not require high security against malicious inputs or if the risks of prompt injection are minimal due to controlled input sources, vigil-llm might be unnecessary.
  • For projects that focus on optimizing output speed rather than input robustness, other tools might be more appropriate as vigil-llm could add significant processing overhead.

Choose kereva-scanner if…

  • 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, owasp-llm-top-10.
  • 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: vigil-llm 496 · kereva-scanner 78 (synced Sep 20, 2026).

Common questions

What is the difference between vigil-llm and kereva-scanner?
vigil-llm: Detect prompt injections and other risky inputs in LLMs. kereva-scanner: Code scanner to check for issues in prompts and LLM calls. See the comparison table for live GitHub stats and shared categories.
When should I choose vigil-llm over kereva-scanner?
Choose vigil-llm over kereva-scanner when Tags unique to vigil-llm: adversarial-attacks, large-language-models; vigil-llm ships Docker support for self-hosted deployment; When deploying large language models that require high levels of input security, vigil-llm can be employed to detect maliciously crafted inputs intended to manipulate model behavior.
When should I choose kereva-scanner over vigil-llm?
Choose kereva-scanner over vigil-llm when 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, owasp-llm-top-10; 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 avoid vigil-llm?
If your application does not require high security against malicious inputs or if the risks of prompt injection are minimal due to controlled input sources, vigil-llm might be unnecessary. For projects that focus on optimizing output speed rather than input robustness, other tools might be more appropriate as vigil-llm could add significant processing overhead.
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.
Is vigil-llm or kereva-scanner more popular on GitHub?
vigil-llm has more GitHub stars (496 vs 78). Stars measure visibility, not whether either tool fits your constraints.
Are vigil-llm and kereva-scanner open source?
Yes - both are open-source projects on GitHub (vigil-llm: Apache-2.0, kereva-scanner: Apache-2.0).
Where can I find alternatives to vigil-llm or kereva-scanner?
GraphCanon lists graph-backed alternatives at vigil-llm alternatives and kereva-scanner alternatives (vigil-llm markdown twin, kereva-scanner 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, vigil-llm or kereva-scanner?
vigil-llm: Dormant. kereva-scanner: Dormant. 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 vigil-llm and kereva-scanner?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: vigil-llm trust report; kereva-scanner trust report.

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