Home/Compare/awesome-llm-security vs Awesome-Code-LLM

Comparison

awesome-llm-security vs Awesome-Code-LLM

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-Code-LLM if awesome-Code-LLM is a curated repository focused on code-focused large language models (code-LLMs), providing insights into top-performing models, evaluation toolkits, and research papers.

Markdown twin · awesome-llm-security alternatives · Awesome-Code-LLM alternatives

GraphCanon updated 1w

awesome-llm-security logo

awesome-llm-security

corca-ai/awesome-llm-security

1.7kpushed Aug 20, 2025
vs
Awesome-Code-LLM logo

Awesome-Code-LLM

huybery/Awesome-Code-LLM

1.3kpushed Dec 10, 2024

Trust & integrity

Signalawesome-llm-securityAwesome-Code-LLM
Maintenance
Slowing (351d since push)
As of 1w · github_public_v1
Dormant (604d since push)
As of 1w · github_public_v1
Provenance
Not a fork · Organization account
As of 1w · github_public_v1
Not a fork · Personal account
As of 1w · 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-Code-LLM
👨💻 An awesome and curated list of best code-LLM for research.

Stars

awesome-llm-security
1.7k
Awesome-Code-LLM
1.3k

Forks

awesome-llm-security
312
Awesome-Code-LLM
74

Open issues

awesome-llm-security
173
Awesome-Code-LLM
4

Language

awesome-llm-security
-
Awesome-Code-LLM
-

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-Code-LLM
Awesome-Code-LLM is a curated repository focused on code-focused large language models (code-LLMs), providing insights into top-performing models, evaluation toolkits, and research papers.

Persona

awesome-llm-security
-
Awesome-Code-LLM
-

Runtime

awesome-llm-security
-
Awesome-Code-LLM
-

License

awesome-llm-security
-
Awesome-Code-LLM
MIT License: Permissive open-source license that allows usage in virtually any project with little restrictions.

Last pushed

awesome-llm-security
Aug 20, 2025
Awesome-Code-LLM
Dec 10, 2024

Categories

awesome-llm-security
Evaluation & Observability
Awesome-Code-LLM
Evaluation & Observability, LLM Frameworks

Trust and health

Maintenance

awesome-llm-security
Slowing (36%)
Awesome-Code-LLM
Dormant (18%)

Days since push

awesome-llm-security
351d
Awesome-Code-LLM
604d

Open issues (now)

awesome-llm-security
173
Awesome-Code-LLM
4

Owner type

awesome-llm-security
Organization
Awesome-Code-LLM
User

Full report

awesome-llm-security
Trust report
Awesome-Code-LLM
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-Code-LLM if…

  • Requirements: No specific requirements to use the repository for reference or evaluation, but contributions may involve technical knowledge and familiarity with code-LLMs..
  • Tags unique to Awesome-Code-LLM: awesome, code generation, large language models.
  • Also covers LLM Frameworks.
  • When you need a comprehensive list of state-of-the-art code generation LLMs with performance metrics such as HumanEval.

When NOT to use Awesome-Code-LLM

  • When looking for a tool that provides pre-trained models with built-in APIs or services, as Awesome-Code-LLM is primarily a directory/collection of information without direct service provision.
  • If you require real-time interactive use-cases and need immediate API access to LLMs; this repository does not offer such functionality.
  • In scenarios where you need a single end-to-end solution for training your own code generation models, as the platform is focused on aggregating third-party resources and research rather than offering

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-Code-LLM 1.3k (synced Aug 6, 2026).

Common questions

What is the difference between awesome-llm-security and Awesome-Code-LLM?
awesome-llm-security: A curation of tools, documents and projects about LLM Security. Awesome-Code-LLM: 👨💻 An awesome and curated list of best code-LLM for research.. See the comparison table for live GitHub stats and shared categories.
When should I choose awesome-llm-security over Awesome-Code-LLM?
Choose awesome-llm-security over Awesome-Code-LLM 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-Code-LLM over awesome-llm-security?
Choose Awesome-Code-LLM over awesome-llm-security when Requirements: No specific requirements to use the repository for reference or evaluation, but contributions may involve technical knowledge and familiarity with code-LLMs.; Tags unique to Awesome-Code-LLM: awesome, code generation, large language models; Also covers LLM Frameworks; When you need a comprehensive list of state-of-the-art code generation LLMs with performance metrics such as HumanEval.
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-Code-LLM?
When looking for a tool that provides pre-trained models with built-in APIs or services, as Awesome-Code-LLM is primarily a directory/collection of information without direct service provision. If you require real-time interactive use-cases and need immediate API access to LLMs; this repository does not offer such functionality. In scenarios where you need a single end-to-end solution for training your own code generation models, as the platform is focused on aggregating third-party resources and research rather than offering
Is awesome-llm-security or Awesome-Code-LLM more popular on GitHub?
awesome-llm-security has more GitHub stars (1,672 vs 1,291). Stars measure visibility, not whether either tool fits your constraints.
Are awesome-llm-security and Awesome-Code-LLM open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to awesome-llm-security or Awesome-Code-LLM?
GraphCanon lists graph-backed alternatives at awesome-llm-security alternatives and Awesome-Code-LLM alternatives (awesome-llm-security markdown twin, Awesome-Code-LLM 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-Code-LLM?
awesome-llm-security: Slowing. Awesome-Code-LLM: 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-Code-LLM?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-llm-security trust report; Awesome-Code-LLM trust report.

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