Comparison
multilingual-safety-for-LLMs vs awesome-LLM-resources
Verdict
Pick multilingual-safety-for-LLMs if data for studying multilingual jailbreak safety in LLMs, including nine non-English languages categorized by resource availability; 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 model training and inference.
Markdown twin · multilingual-safety-for-LLMs alternatives · awesome-LLM-resources alternatives
GraphCanon updated Oct 5, 2026
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Trust & integrity
| Signal | multilingual-safety-for-LLMs | awesome-LLM-resources |
|---|---|---|
| Maintenance | Dormant (941d since push) As of Oct 5, 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 Oct 5, 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
- multilingual-safety-for-LLMs
- Data for Multilingual Jailbreak Challenges in Large Language Models
- awesome-LLM-resources
- Summary of the world's best LLM resources.
Stars
- multilingual-safety-for-LLMs
- 107
- awesome-LLM-resources
- 9.0k
Forks
- multilingual-safety-for-LLMs
- 8
- awesome-LLM-resources
- 993
Open issues
- multilingual-safety-for-LLMs
- 0
- awesome-LLM-resources
- 40
Language
- multilingual-safety-for-LLMs
- -
- awesome-LLM-resources
- -
Adopt for
- multilingual-safety-for-LLMs
- Data for studying multilingual jailbreak safety in LLMs, including nine non-English languages categorized by resource availability.
- 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
- multilingual-safety-for-LLMs
- -
- awesome-LLM-resources
- -
Runtime
- multilingual-safety-for-LLMs
- -
- awesome-LLM-resources
- -
License
- multilingual-safety-for-LLMs
- MIT
- awesome-LLM-resources
- The repository is licensed under Apache-2.0, allowing for free use, modification, and distribution.
Last pushed
- multilingual-safety-for-LLMs
- Mar 7, 2024
- awesome-LLM-resources
- Sep 14, 2026
Categories
- multilingual-safety-for-LLMs
- Evaluation & Observability, Model Training
- awesome-LLM-resources
- AI Agents, Computer Vision, Data & Retrieval, Developer Tools, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- multilingual-safety-for-LLMs
- Dormant (18%)
- awesome-LLM-resources
- Very active (96%)
Days since push
- multilingual-safety-for-LLMs
- 941d
- awesome-LLM-resources
- 3d
Open issues (now)
- multilingual-safety-for-LLMs
- 0
- awesome-LLM-resources
- 40
Stars delta
- multilingual-safety-for-LLMs
- -1 (30d)
- awesome-LLM-resources
- +123 (30d)
Open issues delta
- multilingual-safety-for-LLMs
- 0 (30d)
- awesome-LLM-resources
- +17 (30d)
Owner type
- multilingual-safety-for-LLMs
- Organization
- awesome-LLM-resources
- User
Full report
- multilingual-safety-for-LLMs
- Trust report
- awesome-LLM-resources
- Trust report
Shared compatibility
- ChatGPT · multilingual-safety-for-LLMs: Works with ChatGPT · awesome-LLM-resources: Works with ChatGPT
Choose multilingual-safety-for-LLMs if…
- License: multilingual-safety-for-LLMs is MIT, awesome-LLM-resources is Apache-2.0.
- Tags unique to multilingual-safety-for-LLMs: jailbreak, multilingual, safety.
- When evaluating the robustness of large language models against malicious prompts in multiple languages.
When NOT to use multilingual-safety-for-LLMs
- If solely focused on English-language security analysis, as this dataset emphasizes non-English prompts.
- When the target audience for your LLM is limited to high-resource language speakers only.
Choose awesome-LLM-resources if…
- License: awesome-LLM-resources is Apache-2.0, multilingual-safety-for-LLMs is MIT.
- 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: awesome-list, book, course, large-language-models.
- Also covers AI Agents, Computer Vision, Data & Retrieval, Developer Tools, Inference & Serving, LLM Frameworks.
- 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
multilingual-safety-for-LLMs trust report →awesome-LLM-resources trust report →Evaluation & Observability category →Model Training category →AI Agents category →Computer Vision category →Data & Retrieval category →Developer Tools category →Inference & Serving category →LLM Frameworks category →All comparisonsStack workflowsTrending tools
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (DAMO-NLP-SG/multilingual-safety-for-LLMs) · observed Oct 5, 2026
- GitHub forks (DAMO-NLP-SG/multilingual-safety-for-LLMs) · observed Oct 5, 2026
- Last push (DAMO-NLP-SG/multilingual-safety-for-LLMs) · observed Mar 7, 2024
- License file (MIT) · observed Oct 5, 2026
- Decision facts (enrichment) · observed Jul 16, 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: multilingual-safety-for-LLMs 107 · awesome-LLM-resources 9.0k (synced Oct 5, 2026).
Common questions
- What is the difference between multilingual-safety-for-LLMs and awesome-LLM-resources?
- multilingual-safety-for-LLMs: Data for Multilingual Jailbreak Challenges in Large Language Models. 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 multilingual-safety-for-LLMs over awesome-LLM-resources?
- Choose multilingual-safety-for-LLMs over awesome-LLM-resources when License: multilingual-safety-for-LLMs is MIT, awesome-LLM-resources is Apache-2.0; Tags unique to multilingual-safety-for-LLMs: jailbreak, multilingual, safety; When evaluating the robustness of large language models against malicious prompts in multiple languages.
- When should I choose awesome-LLM-resources over multilingual-safety-for-LLMs?
- Choose awesome-LLM-resources over multilingual-safety-for-LLMs when License: awesome-LLM-resources is Apache-2.0, multilingual-safety-for-LLMs is MIT; 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: awesome-list, book, course, large-language-models; Also covers AI Agents, Computer Vision, Data & Retrieval, Developer Tools, Inference & Serving, LLM Frameworks; When you need a comprehensive list of resources for large language models, including multimodal generation, agents, programming assistance, and more.
- When should I avoid multilingual-safety-for-LLMs?
- If solely focused on English-language security analysis, as this dataset emphasizes non-English prompts. When the target audience for your LLM is limited to high-resource language speakers only.
- 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 multilingual-safety-for-LLMs or awesome-LLM-resources more popular on GitHub?
- awesome-LLM-resources has more GitHub stars (8,968 vs 107). Stars measure visibility, not whether either tool fits your constraints.
- Are multilingual-safety-for-LLMs and awesome-LLM-resources open source?
- Yes - both are open-source projects on GitHub (multilingual-safety-for-LLMs: MIT, awesome-LLM-resources: Apache-2.0).
- Where can I find alternatives to multilingual-safety-for-LLMs or awesome-LLM-resources?
- GraphCanon lists graph-backed alternatives at multilingual-safety-for-LLMs alternatives and awesome-LLM-resources alternatives (multilingual-safety-for-LLMs 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, multilingual-safety-for-LLMs or awesome-LLM-resources?
- multilingual-safety-for-LLMs: 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 multilingual-safety-for-LLMs and awesome-LLM-resources?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: multilingual-safety-for-LLMs trust report; awesome-LLM-resources trust report.