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Comparison

ALERT vs llm-attacks

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 llm-attacks if llm-attacks: Universal and Transferable Attacks on Aligned Language Models with dependency on FastChat.

Markdown twin · ALERT alternatives · llm-attacks alternatives

GraphCanon updated 1w

ALERT logo

ALERT

Babelscape/ALERT

★ 59pushed Sep 20, 2024
vs
llm-attacks logo

llm-attacks

llm-attacks/llm-attacks

★ 4.8kpushed Aug 2, 2024

Trust & integrity

SignalALERTllm-attacks
Maintenance
Dormant (687d since push)
As of 1w · github_public_v1
Dormant (732d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 1w · 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
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
ALERT trust reportllm-attacks trust reportTrust methodology

Tagline

ALERT
A Comprehensive Benchmark for Assessing Large Language Models' Safety Through Red Teaming
llm-attacks
Universal and Transferable Attacks on Aligned Language Models

Stars

ALERT
59
llm-attacks
4.8k

Forks

ALERT
8
llm-attacks
633

Open issues

ALERT
0
llm-attacks
69

Language

ALERT
Python
llm-attacks
Python

Adopt for

ALERT
ALERT is designed specifically for red-teaming based safety evaluation on large language models, using MIT licensed prompts and adversarial augmentation.
llm-attacks
llm-attacks: Universal and Transferable Attacks on Aligned Language Models with dependency on FastChat.

Persona

ALERT
-
llm-attacks
-

Runtime

ALERT
-
llm-attacks
-

License

ALERT
Other
llm-attacks
MIT

Last pushed

ALERT
Sep 20, 2024
llm-attacks
Aug 2, 2024

Categories

ALERT
Evaluation & Observability
llm-attacks
Evaluation & Observability, LLM Frameworks

Trust and health

Days since push

ALERT
687d
llm-attacks
732d

Open issues (now)

ALERT
0
llm-attacks
69

OSV dependency advisories

ALERT
No published findings from this source as of 2026-07-15
llm-attacks
Published findings

Full report

ALERT
Trust report
llm-attacks
Trust report

Choose ALERT if…

  • License: ALERT is Other, llm-attacks 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
GitHubDetails

Choose llm-attacks if…

  • License: llm-attacks is MIT, ALERT is Other.
  • Tags unique to llm-attacks: alignment-testing, attacks, fastchat-dependency, language-models.
  • Also covers LLM Frameworks.
  • When you need to test the robustness of aligned language models specifically using attacks designed for these systems,

When NOT to use llm-attacks

  • Do not use if you are evaluating generic or unaligned language models without a need for alignment-specific attack testing,
  • Avoid when FastChat is not used in your project as llm-attacks explicitly depends on it.
GitHubDetails

Explore

ALERT trust report →llm-attacks trust report →Evaluation & Observability 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 on cards: ALERT 59 · llm-attacks 4.8k (synced Aug 9, 2026).

Common questions

What is the difference between ALERT and llm-attacks?
ALERT: A Comprehensive Benchmark for Assessing Large Language Models' Safety Through Red Teaming. llm-attacks: Universal and Transferable Attacks on Aligned Language Models. See the comparison table for live GitHub stats and shared categories.
When should I choose ALERT over llm-attacks?
Choose ALERT over llm-attacks when License: ALERT is Other, llm-attacks 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 llm-attacks over ALERT?
Choose llm-attacks over ALERT when License: llm-attacks is MIT, ALERT is Other; Tags unique to llm-attacks: alignment-testing, attacks, fastchat-dependency, language-models; Also covers LLM Frameworks; When you need to test the robustness of aligned language models specifically using attacks designed for these systems,.
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 llm-attacks?
Do not use if you are evaluating generic or unaligned language models without a need for alignment-specific attack testing, Avoid when FastChat is not used in your project as llm-attacks explicitly depends on it.
Is ALERT or llm-attacks more popular on GitHub?
llm-attacks has more GitHub stars (4,756 vs 59). Stars measure visibility, not whether either tool fits your constraints.
Are ALERT and llm-attacks open source?
Yes - both are open-source projects on GitHub (ALERT: Other, llm-attacks: MIT).
Where can I find alternatives to ALERT or llm-attacks?
GraphCanon lists graph-backed alternatives at ALERT alternatives and llm-attacks alternatives (ALERT markdown twin, llm-attacks 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 llm-attacks?
ALERT: Dormant. llm-attacks: 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 llm-attacks?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ALERT trust report; llm-attacks trust report.

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