Comparison
ALERT vs multilingual-safety-for-LLMs
Verdict
Pick ALERT if aLERT is designed specifically for red-teaming based safety evaluation on large language models, using MIT licensed prompts and adversarial augmentation; pick multilingual-safety-for-LLMs if data for studying multilingual jailbreak safety in LLMs, including nine non-English languages categorized by resource availability.
Markdown twin · ALERT alternatives · multilingual-safety-for-LLMs alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | ALERT | multilingual-safety-for-LLMs |
|---|---|---|
| Maintenance | Dormant (687d since push) As of 2w · github_public_v1 | Dormant (880d 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 published findings from this source as of 2026-07-15 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
- ALERT
- A Comprehensive Benchmark for Assessing Large Language Models' Safety Through Red Teaming
- multilingual-safety-for-LLMs
- Data for Multilingual Jailbreak Challenges in Large Language Models
Stars
- ALERT
- 59
- multilingual-safety-for-LLMs
- 107
Forks
- ALERT
- 8
- multilingual-safety-for-LLMs
- 8
Open issues
- ALERT
- 0
- multilingual-safety-for-LLMs
- 0
Language
- ALERT
- Python
- multilingual-safety-for-LLMs
- -
Adopt for
- ALERT
- ALERT is designed specifically for red-teaming based safety evaluation on large language models, using MIT licensed prompts and adversarial augmentation.
- multilingual-safety-for-LLMs
- Data for studying multilingual jailbreak safety in LLMs, including nine non-English languages categorized by resource availability.
Persona
- ALERT
- -
- multilingual-safety-for-LLMs
- -
Runtime
- ALERT
- -
- multilingual-safety-for-LLMs
- -
License
- ALERT
- Other
- multilingual-safety-for-LLMs
- MIT
Last pushed
- ALERT
- Sep 20, 2024
- multilingual-safety-for-LLMs
- Mar 7, 2024
Categories
- ALERT
- Evaluation & Observability
- multilingual-safety-for-LLMs
- Evaluation & Observability, Model Training
Trust and health
Days since push
- ALERT
- 687d
- multilingual-safety-for-LLMs
- 880d
OSV dependency advisories
- ALERT
- No published findings from this source as of 2026-07-15
- multilingual-safety-for-LLMs
- No lockfile (source not queried)
Full report
- ALERT
- Trust report
- multilingual-safety-for-LLMs
- Trust report
Choose ALERT if…
- License: ALERT is Other, multilingual-safety-for-LLMs is MIT.
- Tags unique to ALERT: ai, artificial-intelligence, benchmark, bias-detection.
- When evaluating safety metrics of large language models through red-teaming approaches
When NOT to use ALERT
- If your evaluation does not require bias detection or safety assessment under adversarial conditions
- In scenarios where a broader range of model aspects beyond safety is needed, as ALERT focuses primarily on safety benchmarks
Choose multilingual-safety-for-LLMs if…
- License: multilingual-safety-for-LLMs is MIT, ALERT is Other.
- Tags unique to multilingual-safety-for-LLMs: jailbreak, llm, multilingual, safety.
- Also covers Model Training.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Babelscape/ALERT) · observed Aug 9, 2026
- GitHub forks (Babelscape/ALERT) · observed Aug 9, 2026
- Last push (Babelscape/ALERT) · observed Sep 20, 2024
- License file (Other) · observed Aug 9, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (DAMO-NLP-SG/multilingual-safety-for-LLMs) · observed Aug 5, 2026
- GitHub forks (DAMO-NLP-SG/multilingual-safety-for-LLMs) · observed Aug 5, 2026
- Last push (DAMO-NLP-SG/multilingual-safety-for-LLMs) · observed Mar 7, 2024
- License file (MIT) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ALERT 59 · multilingual-safety-for-LLMs 107 (synced Aug 9, 2026).
Common questions
- What is the difference between ALERT and multilingual-safety-for-LLMs?
- ALERT: A Comprehensive Benchmark for Assessing Large Language Models' Safety Through Red Teaming. multilingual-safety-for-LLMs: Data for Multilingual Jailbreak Challenges in Large Language Models. See the comparison table for live GitHub stats and shared categories.
- When should I choose ALERT over multilingual-safety-for-LLMs?
- Choose ALERT over multilingual-safety-for-LLMs when License: ALERT is Other, multilingual-safety-for-LLMs is MIT; Tags unique to ALERT: ai, artificial-intelligence, benchmark, bias-detection; When evaluating safety metrics of large language models through red-teaming approaches.
- When should I choose multilingual-safety-for-LLMs over ALERT?
- Choose multilingual-safety-for-LLMs over ALERT when License: multilingual-safety-for-LLMs is MIT, ALERT is Other; Tags unique to multilingual-safety-for-LLMs: jailbreak, llm, multilingual, safety; Also covers Model Training; When evaluating the robustness of large language models against malicious prompts in multiple languages.
- When should I avoid ALERT?
- If your evaluation does not require bias detection or safety assessment under adversarial conditions In scenarios where a broader range of model aspects beyond safety is needed, as ALERT focuses primarily on safety benchmarks
- 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.
- Is ALERT or multilingual-safety-for-LLMs more popular on GitHub?
- multilingual-safety-for-LLMs has more GitHub stars (107 vs 59). Stars measure visibility, not whether either tool fits your constraints.
- Are ALERT and multilingual-safety-for-LLMs open source?
- Yes - both are open-source projects on GitHub (ALERT: Other, multilingual-safety-for-LLMs: MIT).
- Where can I find alternatives to ALERT or multilingual-safety-for-LLMs?
- GraphCanon lists graph-backed alternatives at ALERT alternatives and multilingual-safety-for-LLMs alternatives (ALERT markdown twin, multilingual-safety-for-LLMs 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, ALERT or multilingual-safety-for-LLMs?
- ALERT: Dormant. multilingual-safety-for-LLMs: 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 ALERT and multilingual-safety-for-LLMs?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ALERT trust report; multilingual-safety-for-LLMs trust report.