Home/Compare/awesome-llm-security vs awesome-ai-safety

Comparison

awesome-llm-security vs awesome-ai-safety

Verdict

Pick awesome-llm-security if awesome LLM Security is a curated list of resources related to the security aspects of large language models. It covers various attack methodologies, defenses, and platform security through papers, benchmarks, tools, and; pick awesome-ai-safety if awesome-ai-safety is a curated list of papers and technical articles focused on ensuring AI quality and safety across various machine learning domains.

Markdown twin · awesome-llm-security alternatives · awesome-ai-safety alternatives

GraphCanon updated 1w

awesome-llm-security logo

awesome-llm-security

corca-ai/awesome-llm-security

1.7kpushed Aug 20, 2025
vs
awesome-ai-safety logo

awesome-ai-safety

Giskard-AI/awesome-ai-safety

220pushed Apr 14, 2025

Trust & integrity

Signalawesome-llm-securityawesome-ai-safety
Maintenance
Slowing (351d since push)
As of 1w · github_public_v1
Dormant (473d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 1w · github_public_v1
Not a fork · Organization account
As of 2w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
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

awesome-llm-security
A curation of tools, documents and projects about LLM Security
awesome-ai-safety
A curated list of papers and technical articles on AI Quality & Safety

Stars

awesome-llm-security
1.7k
awesome-ai-safety
220

Forks

awesome-llm-security
312
awesome-ai-safety
39

Open issues

awesome-llm-security
173
awesome-ai-safety
17

Language

awesome-llm-security
-
awesome-ai-safety
-

Adopt for

awesome-llm-security
Awesome LLM Security is a curated list of resources related to the security aspects of large language models. It covers various attack methodologies, defenses, and platform security through papers, benchmarks, tools, and
awesome-ai-safety
awesome-ai-safety is a curated list of papers and technical articles focused on ensuring AI quality and safety across various machine learning domains including CV and NLP.

Persona

awesome-llm-security
-
awesome-ai-safety
-

Runtime

awesome-llm-security
-
awesome-ai-safety
-

License

awesome-llm-security
-
awesome-ai-safety
Apache-2.0

Last pushed

awesome-llm-security
Aug 20, 2025
awesome-ai-safety
Apr 14, 2025

Categories

awesome-llm-security
Evaluation & Observability
awesome-ai-safety
Evaluation & Observability

Trust and health

Maintenance

awesome-llm-security
Slowing (36%)
awesome-ai-safety
Dormant (18%)

Days since push

awesome-llm-security
351d
awesome-ai-safety
473d

Open issues (now)

awesome-llm-security
173
awesome-ai-safety
17

Full report

awesome-llm-security
Trust report
awesome-ai-safety
Trust report

Choose awesome-llm-security if…

  • Pricing: As an open-source project without defined pricing models, its use is generally free under the terms of its license (license details are not provided)..
  • Tags unique to awesome-llm-security: awesome-list, llm, security.
  • When you are specifically looking for detailed information on both white-box and black-box attacks targeted at Large Language Models (LLMs), which 'awesome-llm-security' comprehensively catalogs.

When NOT to use awesome-llm-security

  • When your primary interest is in general software security or vulnerabilities unrelated to language models, since 'awesome-llm-security' zeroes in on attack vectors specifically for LLMs.
  • If you are solely interested in tools and methods that are not publicly discussed or peer-reviewed; the repository focuses on documented approaches within reputable academic publications.

Choose awesome-ai-safety if…

  • Pricing: The repository is free to use under the Apache-2.0 license. However, external resources linked might have their own licensing terms or costs..
  • Tags unique to awesome-ai-safety: ai, ai safety, ai-alignment, ai-quality.
  • When you need an aggregated source to explore topics such as AI alignment, robustness, fairness in ML models.

When NOT to use awesome-ai-safety

  • Not suitable if your requirement is a repository with hands-on coding examples rather than research papers and articles.
  • Avoid this resource if you are searching for datasets or tools that are not in the form of academic literature but practical utilities.
  • This platform may not provide sufficient guidance on hardware-specific testing, where practical constraints diverge from theoretical models.

Explore

Sources

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

GitHub stars on cards: awesome-llm-security 1.7k · awesome-ai-safety 220 (synced Aug 6, 2026).

Common questions

What is the difference between awesome-llm-security and awesome-ai-safety?
awesome-llm-security: A curation of tools, documents and projects about LLM Security. awesome-ai-safety: A curated list of papers and technical articles on AI Quality & Safety. See the comparison table for live GitHub stats and shared categories.
When should I choose awesome-llm-security over awesome-ai-safety?
Choose awesome-llm-security over awesome-ai-safety when Pricing: As an open-source project without defined pricing models, its use is generally free under the terms of its license (license details are not provided).; Tags unique to awesome-llm-security: awesome-list, llm, security; When you are specifically looking for detailed information on both white-box and black-box attacks targeted at Large Language Models (LLMs), which 'awesome-llm-security' comprehensively catalogs.
When should I choose awesome-ai-safety over awesome-llm-security?
Choose awesome-ai-safety over awesome-llm-security when Pricing: The repository is free to use under the Apache-2.0 license. However, external resources linked might have their own licensing terms or costs.; Tags unique to awesome-ai-safety: ai, ai safety, ai-alignment, ai-quality; When you need an aggregated source to explore topics such as AI alignment, robustness, fairness in ML models.
When should I avoid awesome-llm-security?
When your primary interest is in general software security or vulnerabilities unrelated to language models, since 'awesome-llm-security' zeroes in on attack vectors specifically for LLMs. If you are solely interested in tools and methods that are not publicly discussed or peer-reviewed; the repository focuses on documented approaches within reputable academic publications.
When should I avoid awesome-ai-safety?
Not suitable if your requirement is a repository with hands-on coding examples rather than research papers and articles. Avoid this resource if you are searching for datasets or tools that are not in the form of academic literature but practical utilities. This platform may not provide sufficient guidance on hardware-specific testing, where practical constraints diverge from theoretical models.
Is awesome-llm-security or awesome-ai-safety more popular on GitHub?
awesome-llm-security has more GitHub stars (1,672 vs 220). Stars measure visibility, not whether either tool fits your constraints.
Are awesome-llm-security and awesome-ai-safety open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to awesome-llm-security or awesome-ai-safety?
GraphCanon lists graph-backed alternatives at awesome-llm-security alternatives and awesome-ai-safety alternatives (awesome-llm-security markdown twin, awesome-ai-safety 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, awesome-llm-security or awesome-ai-safety?
awesome-llm-security: Slowing. awesome-ai-safety: 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 awesome-llm-security and awesome-ai-safety?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-llm-security trust report; awesome-ai-safety trust report.

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