Comparison
awesome-llm-security vs awesome-LLM-resources
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-LLM-resources if awesome-LLM-resources is a curated list of resources related to large language models, covering a wide range of topics from multimodal generation to.
Markdown twin · awesome-llm-security alternatives · awesome-LLM-resources alternatives
GraphCanon updated Sep 20, 2026
12views this month
Trust & integrity
| Signal | awesome-llm-security | awesome-LLM-resources |
|---|---|---|
| Maintenance | Dormant (382d since push) As of Sep 6, 2026 · github_public_v1 | Very active (3d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 6, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 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
- awesome-llm-security
- A curation of tools, documents and projects about LLM Security
- awesome-LLM-resources
- Summary of the world's best LLM resources.
Stars
- awesome-llm-security
- 1.7k
- awesome-LLM-resources
- 9.0k
Forks
- awesome-llm-security
- 347
- awesome-LLM-resources
- 993
Open issues
- awesome-llm-security
- 207
- awesome-LLM-resources
- 40
Language
- awesome-llm-security
- -
- awesome-LLM-resources
- -
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-LLM-resources
- awesome-LLM-resources is a curated list of resources related to large language models, covering a wide range of topics from multimodal generation to model training and inference.
Persona
- awesome-llm-security
- -
- awesome-LLM-resources
- -
Runtime
- awesome-llm-security
- -
- awesome-LLM-resources
- -
License
- awesome-llm-security
- -
- awesome-LLM-resources
- The repository is licensed under Apache-2.0, allowing for free use, modification, and distribution.
Last pushed
- awesome-llm-security
- Aug 20, 2025
- awesome-LLM-resources
- Sep 14, 2026
Categories
- awesome-llm-security
- Evaluation & Observability
- awesome-LLM-resources
- AI Agents, Computer Vision, Data & Retrieval, Developer Tools, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- awesome-llm-security
- Dormant (18%)
- awesome-LLM-resources
- Very active (96%)
Days since push
- awesome-llm-security
- 382d
- awesome-LLM-resources
- 3d
Open issues (now)
- awesome-llm-security
- 207
- awesome-LLM-resources
- 40
Stars delta
- awesome-llm-security
- +20 (30d)
- awesome-LLM-resources
- +123 (30d)
Open issues delta
- awesome-llm-security
- +34 (30d)
- awesome-LLM-resources
- +17 (30d)
Owner type
- awesome-llm-security
- Organization
- awesome-LLM-resources
- User
Full report
- awesome-llm-security
- Trust report
- awesome-LLM-resources
- Trust report
Shared compatibility
- ChatGPT · awesome-llm-security: Works with ChatGPT · awesome-LLM-resources: Works with ChatGPT
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: 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-LLM-resources if…
- Pricing: The repository itself is free to use, but some linked resources may require payment or have associated costs..
- Requirements: The repository does not specify any technical requirements for accessing its content..
- Tags unique to awesome-LLM-resources: book, course, large-language-models, llama.
- Also covers AI Agents, Computer Vision, Data & Retrieval, Developer Tools, Inference & Serving, LLM Frameworks, Model Training.
- When you need a comprehensive list of resources for large language models, including multimodal generation, agents, programming assistance, and more.
When NOT to use awesome-LLM-resources
- If you are looking for a tool that provides direct access to LLM APIs or services, as this repository is a list of resources rather than a service provider.
- When you need real-time support or a community forum for troubleshooting LLM-related issues, as this repository is a static list of resources without interactive support.
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 Sep 20, 2026
- GitHub forks (corca-ai/awesome-llm-security) · observed Sep 20, 2026
- Last push (corca-ai/awesome-llm-security) · observed Aug 20, 2025
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (WangRongsheng/awesome-LLM-resources) · observed Sep 20, 2026
- GitHub forks (WangRongsheng/awesome-LLM-resources) · observed Sep 20, 2026
- Last push (WangRongsheng/awesome-LLM-resources) · observed Sep 14, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: awesome-llm-security 1.7k · awesome-LLM-resources 9.0k (synced Sep 20, 2026).
Common questions
- What is the difference between awesome-llm-security and awesome-LLM-resources?
- awesome-llm-security: A curation of tools, documents and projects about LLM Security. awesome-LLM-resources: Summary of the world's best LLM resources.. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-llm-security over awesome-LLM-resources?
- Choose awesome-llm-security over awesome-LLM-resources 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: 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-LLM-resources over awesome-llm-security?
- Choose awesome-LLM-resources over awesome-llm-security when Pricing: The repository itself is free to use, but some linked resources may require payment or have associated costs.; Requirements: The repository does not specify any technical requirements for accessing its content.; Tags unique to awesome-LLM-resources: book, course, large-language-models, llama; Also covers AI Agents, Computer Vision, Data & Retrieval, Developer Tools, Inference & Serving, LLM Frameworks, Model Training; When you need a comprehensive list of resources for large language models, including multimodal generation, agents, programming assistance, and more.
- 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-LLM-resources?
- If you are looking for a tool that provides direct access to LLM APIs or services, as this repository is a list of resources rather than a service provider. When you need real-time support or a community forum for troubleshooting LLM-related issues, as this repository is a static list of resources without interactive support.
- Is awesome-llm-security or awesome-LLM-resources more popular on GitHub?
- awesome-LLM-resources has more GitHub stars (8,968 vs 1,692). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-llm-security and awesome-LLM-resources open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to awesome-llm-security or awesome-LLM-resources?
- GraphCanon lists graph-backed alternatives at awesome-llm-security alternatives and awesome-LLM-resources alternatives (awesome-llm-security markdown twin, awesome-LLM-resources 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-LLM-resources?
- awesome-llm-security: Dormant. awesome-LLM-resources: 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 awesome-llm-security and awesome-LLM-resources?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-llm-security trust report; awesome-LLM-resources trust report.