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
Trust & integrity
| Signal | awesome-llm-security | Awesome-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 (corca-ai/awesome-llm-security) · observed Aug 6, 2026
- GitHub forks (corca-ai/awesome-llm-security) · observed Aug 6, 2026
- Last push (corca-ai/awesome-llm-security) · observed Aug 20, 2025
- License file (unknown) · observed Aug 6, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (huybery/Awesome-Code-LLM) · observed Aug 6, 2026
- GitHub forks (huybery/Awesome-Code-LLM) · observed Aug 6, 2026
- Last push (huybery/Awesome-Code-LLM) · observed Dec 10, 2024
- License file (MIT) · observed Aug 6, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
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.