---
title: "ALERT vs multilingual-safety-for-LLMs"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/babelscape-alert-vs-damo-nlp-sg-multilingual-safety-for-llms"
tools: ["babelscape-alert", "damo-nlp-sg-multilingual-safety-for-llms"]
---

# ALERT vs multilingual-safety-for-LLMs

*GraphCanon updated Aug 9, 2026*

## 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.

[ALERT](https://arxiv.org/abs/2404.08676) reports 59 GitHub stars, 8 forks, and 0 open issues, last pushed Sep 20, 2024. [multilingual-safety-for-LLMs](https://github.com/DAMO-NLP-SG/multilingual-safety-for-LLMs) has 107 stars, 8 forks, and 0 open issues, last pushed Mar 7, 2024. Figures are from public GitHub metadata via [ALERT's repository](https://github.com/Babelscape/ALERT) and [multilingual-safety-for-LLMs's repository](https://github.com/DAMO-NLP-SG/multilingual-safety-for-LLMs).

| | [ALERT](/tools/babelscape-alert.md) | [multilingual-safety-for-LLMs](/tools/damo-nlp-sg-multilingual-safety-for-llms.md) |
| --- | --- | --- |
| Tagline | A Comprehensive Benchmark for Assessing Large Language Models' Safety Through Red Teaming | Data for Multilingual Jailbreak Challenges in Large Language Models |
| Stars | 59 | 107 |
| Forks | 8 | 8 |
| Open issues | 0 | 0 |
| Language | Python | - |
| Adopt for | ALERT is designed specifically for red-teaming based safety evaluation on large language models, using MIT licensed prompts and adversarial augmentation. | Data for studying multilingual jailbreak safety in LLMs, including nine non-English languages categorized by resource availability. |
| Persona | - | - |
| Runtime | - | - |
| License | Other | MIT |
| Categories | Evaluation & Observability | Evaluation & Observability, Model Training |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [ALERT](/tools/babelscape-alert.md) | [multilingual-safety-for-LLMs](/tools/damo-nlp-sg-multilingual-safety-for-llms.md) |
| --- | --- | --- |
| Days since push | 687d | 880d |
| Full report | [trust report](/tools/babelscape-alert/trust.md) | [trust report](/tools/damo-nlp-sg-multilingual-safety-for-llms/trust.md) |

## Decision facts: ALERT

- **Adopt for:** ALERT is designed specifically for red-teaming based safety evaluation on large language models, using MIT licensed prompts and adversarial augmentation.

## Decision facts: multilingual-safety-for-LLMs

- **Adopt for:** Data for studying multilingual jailbreak safety in LLMs, including nine non-English languages categorized by resource availability.

## Choose when

### 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

### 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 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 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.

## 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](/tools/babelscape-alert/alternatives) and [multilingual-safety-for-LLMs alternatives](/tools/damo-nlp-sg-multilingual-safety-for-llms/alternatives) ([ALERT markdown twin](/tools/babelscape-alert/alternatives.md), [multilingual-safety-for-LLMs markdown twin](/tools/damo-nlp-sg-multilingual-safety-for-llms/alternatives.md)), 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](/compare/babelscape-alert-vs-damo-nlp-sg-multilingual-safety-for-llms.md) 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](/tools/babelscape-alert/trust); [multilingual-safety-for-LLMs trust report](/tools/damo-nlp-sg-multilingual-safety-for-llms/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=babelscape-alert`](/api/graphcanon/graph?tool=babelscape-alert)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_