Home/Compare/multilingual-safety-for-LLMs vs JOOD

Comparison

multilingual-safety-for-LLMs vs JOOD

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 JOOD if jOOD is an implementation for exploring strategies to jailbreak language and multimodal models using out-of-distribution inputs. It leverages Python and is licensed under Apache-2.0.

Markdown twin · multilingual-safety-for-LLMs alternatives · JOOD alternatives

GraphCanon updated 2w

multilingual-safety-for-LLMs logo

multilingual-safety-for-LLMs

DAMO-NLP-SG/multilingual-safety-for-LLMs

107pushed Mar 7, 2024
vs
JOOD logo

JOOD

naver-ai/JOOD

21pushed Jun 11, 2025

Trust & integrity

Signalmultilingual-safety-for-LLMsJOOD
Maintenance
Dormant (880d since push)
As of 2w · github_public_v1
Dormant (419d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · 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
Published findings
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

multilingual-safety-for-LLMs
Data for Multilingual Jailbreak Challenges in Large Language Models
JOOD
Implementation for multimodal LLM jailbreaking strategy

Stars

multilingual-safety-for-LLMs
107
JOOD
21

Forks

multilingual-safety-for-LLMs
8
JOOD
4

Open issues

multilingual-safety-for-LLMs
0
JOOD
2

Language

multilingual-safety-for-LLMs
-
JOOD
Python

Adopt for

multilingual-safety-for-LLMs
Data for studying multilingual jailbreak safety in LLMs, including nine non-English languages categorized by resource availability.
JOOD
JOOD is an implementation for exploring strategies to jailbreak language and multimodal models using out-of-distribution inputs. It leverages Python and is licensed under Apache-2.0.

Persona

multilingual-safety-for-LLMs
-
JOOD
-

Runtime

multilingual-safety-for-LLMs
-
JOOD
-

License

multilingual-safety-for-LLMs
MIT
JOOD
Apache-2.0

Last pushed

multilingual-safety-for-LLMs
Mar 7, 2024
JOOD
Jun 11, 2025

Categories

multilingual-safety-for-LLMs
Evaluation & Observability, Model Training
JOOD
Computer Vision, Model Training

Trust and health

Days since push

multilingual-safety-for-LLMs
880d
JOOD
419d

Open issues (now)

multilingual-safety-for-LLMs
0
JOOD
2

OSV dependency advisories

multilingual-safety-for-LLMs
No lockfile (source not queried)
JOOD
Published findings

Full report

multilingual-safety-for-LLMs
Trust report

Choose multilingual-safety-for-LLMs if…

  • License: multilingual-safety-for-LLMs is MIT, JOOD is Apache-2.0.
  • Tags unique to multilingual-safety-for-LLMs: jailbreak, llm, multilingual, safety.
  • Also covers Evaluation & Observability.
  • 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 JOOD if…

  • License: JOOD is Apache-2.0, multilingual-safety-for-LLMs is MIT.
  • Requirements: Python version to install requirements: Python >= 3.12.7; The package list for dependencies should be sourced from the `requirements.txt` file provided in the repository..
  • Tags unique to JOOD: jailbreaking, multimodal-llms.
  • Also covers Computer Vision.
  • Use JOOD when you need to explore how a multimodal model behaves with unforeseen or out-of-distribution inputs, thus pushing the boundaries of its conventional responses or outputs.

When NOT to use JOOD

  • Avoid using JOOD if jailbreaking strategies are not of interest, such as in scenarios requiring strict adherence to model limitations and ethical constraints.
  • JOOD may not be suitable if you require tools that focus on improving performance or stability of models rather than exploring unconventional behavior or vulnerabilities.

Explore

Sources

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

GitHub stars on cards: multilingual-safety-for-LLMs 107 · JOOD 21 (synced Aug 5, 2026).

Common questions

What is the difference between multilingual-safety-for-LLMs and JOOD?
multilingual-safety-for-LLMs: Data for Multilingual Jailbreak Challenges in Large Language Models. JOOD: Implementation for multimodal LLM jailbreaking strategy. See the comparison table for live GitHub stats and shared categories.
When should I choose multilingual-safety-for-LLMs over JOOD?
Choose multilingual-safety-for-LLMs over JOOD when License: multilingual-safety-for-LLMs is MIT, JOOD is Apache-2.0; Tags unique to multilingual-safety-for-LLMs: jailbreak, llm, multilingual, safety; Also covers Evaluation & Observability; When evaluating the robustness of large language models against malicious prompts in multiple languages.
When should I choose JOOD over multilingual-safety-for-LLMs?
Choose JOOD over multilingual-safety-for-LLMs when License: JOOD is Apache-2.0, multilingual-safety-for-LLMs is MIT; Requirements: Python version to install requirements: Python >= 3.12.7; The package list for dependencies should be sourced from the requirements.txt file provided in the repository.; Tags unique to JOOD: jailbreaking, multimodal-llms; Also covers Computer Vision; Use JOOD when you need to explore how a multimodal model behaves with unforeseen or out-of-distribution inputs, thus pushing the boundaries of its conventional responses or outputs.
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 JOOD?
Avoid using JOOD if jailbreaking strategies are not of interest, such as in scenarios requiring strict adherence to model limitations and ethical constraints. JOOD may not be suitable if you require tools that focus on improving performance or stability of models rather than exploring unconventional behavior or vulnerabilities.
Is multilingual-safety-for-LLMs or JOOD more popular on GitHub?
multilingual-safety-for-LLMs has more GitHub stars (107 vs 21). Stars measure visibility, not whether either tool fits your constraints.
Are multilingual-safety-for-LLMs and JOOD open source?
Yes - both are open-source projects on GitHub (multilingual-safety-for-LLMs: MIT, JOOD: Apache-2.0).
Where can I find alternatives to multilingual-safety-for-LLMs or JOOD?
GraphCanon lists graph-backed alternatives at multilingual-safety-for-LLMs alternatives and JOOD alternatives (multilingual-safety-for-LLMs markdown twin, JOOD 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 JOOD?
multilingual-safety-for-LLMs: Dormant. JOOD: 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 multilingual-safety-for-LLMs and JOOD?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: multilingual-safety-for-LLMs trust report; JOOD trust report.

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