Home/Compare/garak vs Awesome-LLMSecOps

Comparison

garak vs Awesome-LLMSecOps

Verdict

Pick garak if lLM Vulnerability Scanner; pick Awesome-LLMSecOps if awesome-LLMSecOps is a curated list that emphasizes practical security implementation for the operations of large language models.

Markdown twin · garak alternatives · Awesome-LLMSecOps alternatives

GraphCanon updated 2w

garak logo

garak

NVIDIA/garak

8.7kpushed Aug 4, 2026
vs
Awesome-LLMSecOps logo

Awesome-LLMSecOps

wearetyomsmnv/Awesome-LLMSecOps

150pushed Aug 4, 2026

Trust & integrity

SignalgarakAwesome-LLMSecOps
Maintenance
Very active (0d since push)
As of 2w · github_public_v1
Very active (4d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Personal account
As of 2w · github_public_v1
OSV dependency advisories
Published findings
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · 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

garak
LLM vulnerability scanner
Awesome-LLMSecOps
Curated security resources for LLM operations

Stars

garak
8.7k
Awesome-LLMSecOps
150

Forks

garak
1.1k
Awesome-LLMSecOps
63

Open issues

garak
374
Awesome-LLMSecOps
11

Language

garak
Python
Awesome-LLMSecOps
HTML

Adopt for

garak
LLM Vulnerability Scanner
Awesome-LLMSecOps
Awesome-LLMSecOps is a curated list that emphasizes practical security implementation for the operations of large language models.

Persona

garak
-
Awesome-LLMSecOps
-

Runtime

garak
-
Awesome-LLMSecOps
-

License

garak
Apache-2.0
Awesome-LLMSecOps
-

Last pushed

garak
Aug 4, 2026
Awesome-LLMSecOps
Aug 4, 2026

Categories

garak
Evaluation & Observability
Awesome-LLMSecOps
AI Agents, Evaluation & Observability

Trust and health

Days since push

garak
0d
Awesome-LLMSecOps
4d

Open issues (now)

garak
374
Awesome-LLMSecOps
11

Owner type

garak
Organization
Awesome-LLMSecOps
User

OSV dependency advisories

garak
Published findings
Awesome-LLMSecOps
No lockfile (source not queried)

Full report

Awesome-LLMSecOps
Trust report

Choose garak if…

  • garak is primarily Python; Awesome-LLMSecOps is HTML.
  • Tags unique to garak: ai, llm-evaluation, security-scanners, vulnerability-assessment.
  • When needing to assess the security and reliability of language models specifically using a tool developed by NVIDIA.

When NOT to use garak

  • When the targeted model is not supported by 'garak', such as some specialized API-based generators that need specific configurations beyond setting environment variables.
  • If real-time updates are necessary, as the PyPI version of garak might lag behind the development version available on GitHub.

Choose Awesome-LLMSecOps if…

  • Awesome-LLMSecOps is primarily HTML; garak is Python.
  • Tags unique to Awesome-LLMSecOps: adversarial-ml-threat-modeling, ai-agents-security, llm-red-teaming, prompt-injection.
  • Also covers AI Agents.
  • Need a specialized focus on LLM-specific security threats like recursive pollution and prompt manipulation

When NOT to use Awesome-LLMSecOps

  • Looking for extensive academic references or ArXiv papers in descriptions
  • Require real-time interactive tools rather than curated static lists of resources

Explore

Sources

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

GitHub stars on cards: garak 8.7k · Awesome-LLMSecOps 150 (synced Aug 5, 2026).

Common questions

What is the difference between garak and Awesome-LLMSecOps?
garak: LLM vulnerability scanner. Awesome-LLMSecOps: Curated security resources for LLM operations. See the comparison table for live GitHub stats and shared categories.
When should I choose garak over Awesome-LLMSecOps?
Choose garak over Awesome-LLMSecOps when garak is primarily Python; Awesome-LLMSecOps is HTML; Tags unique to garak: ai, llm-evaluation, security-scanners, vulnerability-assessment; When needing to assess the security and reliability of language models specifically using a tool developed by NVIDIA.
When should I choose Awesome-LLMSecOps over garak?
Choose Awesome-LLMSecOps over garak when Awesome-LLMSecOps is primarily HTML; garak is Python; Tags unique to Awesome-LLMSecOps: adversarial-ml-threat-modeling, ai-agents-security, llm-red-teaming, prompt-injection; Also covers AI Agents; Need a specialized focus on LLM-specific security threats like recursive pollution and prompt manipulation.
When should I avoid garak?
When the targeted model is not supported by 'garak', such as some specialized API-based generators that need specific configurations beyond setting environment variables. If real-time updates are necessary, as the PyPI version of garak might lag behind the development version available on GitHub.
When should I avoid Awesome-LLMSecOps?
Looking for extensive academic references or ArXiv papers in descriptions Require real-time interactive tools rather than curated static lists of resources
Is garak or Awesome-LLMSecOps more popular on GitHub?
garak has more GitHub stars (8,696 vs 150). Stars measure visibility, not whether either tool fits your constraints.
Are garak and Awesome-LLMSecOps open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to garak or Awesome-LLMSecOps?
GraphCanon lists graph-backed alternatives at garak alternatives and Awesome-LLMSecOps alternatives (garak markdown twin, Awesome-LLMSecOps 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, garak or Awesome-LLMSecOps?
garak: Very active. Awesome-LLMSecOps: Very active. 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 garak and Awesome-LLMSecOps?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: garak trust report; Awesome-LLMSecOps trust report.

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