Home/Compare/jailbreak-evaluation vs awesome-llm-security

Comparison

jailbreak-evaluation vs awesome-llm-security

Verdict

Pick jailbreak-evaluation if jailbreak-evaluation is a Python package aimed at evaluating if AI models have been jailbroken by generating outputs that diverge from expected programming; pick awesome-llm-security if awesome LLM Security is a curated list of resources related to the security aspects of large language models. It covers various attack methodologies, defenses, and platform security through papers, benchmarks, tools, and.

Markdown twin · jailbreak-evaluation alternatives · awesome-llm-security alternatives

GraphCanon updated 2w

jailbreak-evaluation logo

jailbreak-evaluation

controllability/jailbreak-evaluation

27pushed Nov 4, 2024
vs
awesome-llm-security logo

awesome-llm-security

corca-ai/awesome-llm-security

1.7kpushed Aug 20, 2025

Trust & integrity

Signaljailbreak-evaluationawesome-llm-security
Maintenance
Dormant (638d since push)
As of 2w · github_public_v1
Slowing (351d 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
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

jailbreak-evaluation
Python package for language model jailbreak evaluation
awesome-llm-security
A curation of tools, documents and projects about LLM Security

Stars

jailbreak-evaluation
27
awesome-llm-security
1.7k

Forks

jailbreak-evaluation
8
awesome-llm-security
312

Open issues

jailbreak-evaluation
0
awesome-llm-security
173

Language

jailbreak-evaluation
Python
awesome-llm-security
-

Adopt for

jailbreak-evaluation
jailbreak-evaluation is a Python package aimed at evaluating if AI models have been jailbroken by generating outputs that diverge from expected programming.
awesome-llm-security
Awesome LLM Security is a curated list of resources related to the security aspects of large language models. It covers various attack methodologies, defenses, and platform security through papers, benchmarks, tools, and

Persona

jailbreak-evaluation
-
awesome-llm-security
-

Runtime

jailbreak-evaluation
-
awesome-llm-security
-

License

jailbreak-evaluation
Apache-2.0
awesome-llm-security
-

Last pushed

jailbreak-evaluation
Nov 4, 2024
awesome-llm-security
Aug 20, 2025

Categories

jailbreak-evaluation
Evaluation & Observability
awesome-llm-security
Evaluation & Observability

Trust and health

Maintenance

jailbreak-evaluation
Dormant (18%)
awesome-llm-security
Slowing (36%)

Days since push

jailbreak-evaluation
638d
awesome-llm-security
351d

Open issues (now)

jailbreak-evaluation
0
awesome-llm-security
173

Full report

jailbreak-evaluation
Trust report
awesome-llm-security
Trust report

Choose jailbreak-evaluation if…

  • Requirements: The tool depends on having PyTorch and FastChat installed; An API key from the OpenAI Platform is required for full functionality.
  • Tags unique to jailbreak-evaluation: ai safety, evaluation tools, jailbreaks, language-models.
  • When you need to assess whether an AI model can be manipulated to produce unpredictable or unintended outcomes through specific inputs, such as jailbreaking.

When NOT to use jailbreak-evaluation

  • If your project does not involve assessing the security or integrity of how an AI model responds to manipulative input techniques designed to exploit design weaknesses.
  • When you do not need dependencies on specific frameworks like PyTorch and FastChat, as jailbreak-evaluation requires these without automating their installation.

Choose awesome-llm-security if…

  • Pricing: As an open-source project without defined pricing models, its use is generally free under the terms of its license (license details are not provided)..
  • Tags unique to awesome-llm-security: awesome-list, llm, security.
  • When you are specifically looking for detailed information on both white-box and black-box attacks targeted at Large Language Models (LLMs), which 'awesome-llm-security' comprehensively catalogs.

When NOT to use awesome-llm-security

  • When your primary interest is in general software security or vulnerabilities unrelated to language models, since 'awesome-llm-security' zeroes in on attack vectors specifically for LLMs.
  • If you are solely interested in tools and methods that are not publicly discussed or peer-reviewed; the repository focuses on documented approaches within reputable academic publications.

Explore

Sources

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

GitHub stars on cards: jailbreak-evaluation 27 · awesome-llm-security 1.7k (synced Aug 5, 2026).

Common questions

What is the difference between jailbreak-evaluation and awesome-llm-security?
jailbreak-evaluation: Python package for language model jailbreak evaluation. awesome-llm-security: A curation of tools, documents and projects about LLM Security. See the comparison table for live GitHub stats and shared categories.
When should I choose jailbreak-evaluation over awesome-llm-security?
Choose jailbreak-evaluation over awesome-llm-security when Requirements: The tool depends on having PyTorch and FastChat installed; An API key from the OpenAI Platform is required for full functionality; Tags unique to jailbreak-evaluation: ai safety, evaluation tools, jailbreaks, language-models; When you need to assess whether an AI model can be manipulated to produce unpredictable or unintended outcomes through specific inputs, such as jailbreaking.
When should I choose awesome-llm-security over jailbreak-evaluation?
Choose awesome-llm-security over jailbreak-evaluation when Pricing: As an open-source project without defined pricing models, its use is generally free under the terms of its license (license details are not provided).; Tags unique to awesome-llm-security: awesome-list, llm, security; When you are specifically looking for detailed information on both white-box and black-box attacks targeted at Large Language Models (LLMs), which 'awesome-llm-security' comprehensively catalogs.
When should I avoid jailbreak-evaluation?
If your project does not involve assessing the security or integrity of how an AI model responds to manipulative input techniques designed to exploit design weaknesses. When you do not need dependencies on specific frameworks like PyTorch and FastChat, as jailbreak-evaluation requires these without automating their installation.
When should I avoid awesome-llm-security?
When your primary interest is in general software security or vulnerabilities unrelated to language models, since 'awesome-llm-security' zeroes in on attack vectors specifically for LLMs. If you are solely interested in tools and methods that are not publicly discussed or peer-reviewed; the repository focuses on documented approaches within reputable academic publications.
Is jailbreak-evaluation or awesome-llm-security more popular on GitHub?
awesome-llm-security has more GitHub stars (1,672 vs 27). Stars measure visibility, not whether either tool fits your constraints.
Are jailbreak-evaluation and awesome-llm-security open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to jailbreak-evaluation or awesome-llm-security?
GraphCanon lists graph-backed alternatives at jailbreak-evaluation alternatives and awesome-llm-security alternatives (jailbreak-evaluation markdown twin, awesome-llm-security 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, jailbreak-evaluation or awesome-llm-security?
jailbreak-evaluation: Dormant. awesome-llm-security: Slowing. 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 jailbreak-evaluation and awesome-llm-security?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: jailbreak-evaluation trust report; awesome-llm-security trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.