---
title: "jailbreak-evaluation vs awesome-llm-security"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/controllability-jailbreak-evaluation-vs-corca-ai-awesome-llm-security"
tools: ["controllability-jailbreak-evaluation", "corca-ai-awesome-llm-security"]
---

# jailbreak-evaluation vs awesome-llm-security

*GraphCanon updated Aug 6, 2026*

## 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.

[jailbreak-evaluation](https://arxiv.org/abs/2404.06407) reports 27 GitHub stars, 8 forks, and 0 open issues, last pushed Nov 4, 2024. [awesome-llm-security](https://github.com/corca-ai/awesome-llm-security) has 1.7k stars, 312 forks, and 173 open issues, last pushed Aug 20, 2025. Figures are from public GitHub metadata via [jailbreak-evaluation's repository](https://github.com/controllability/jailbreak-evaluation) and [awesome-llm-security's repository](https://github.com/corca-ai/awesome-llm-security).

| | [jailbreak-evaluation](/tools/controllability-jailbreak-evaluation.md) | [awesome-llm-security](/tools/corca-ai-awesome-llm-security.md) |
| --- | --- | --- |
| Tagline | Python package for language model jailbreak evaluation | A curation of tools, documents and projects about LLM Security |
| Stars | 27 | 1,672 |
| Forks | 8 | 312 |
| Open issues | 0 | 173 |
| Language | Python | - |
| Adopt for | 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 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 | - | - |
| Runtime | - | - |
| License | Apache-2.0 | - |
| Categories | Evaluation & Observability | Evaluation & Observability |

## Trust and health

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

| | [jailbreak-evaluation](/tools/controllability-jailbreak-evaluation.md) | [awesome-llm-security](/tools/corca-ai-awesome-llm-security.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Slowing (36%) |
| Days since push | 638d | 351d |
| Open issues (now) | 0 | 173 |
| Full report | [trust report](/tools/controllability-jailbreak-evaluation/trust.md) | [trust report](/tools/corca-ai-awesome-llm-security/trust.md) |

## Decision facts: jailbreak-evaluation

- **Requirements:** The tool depends on having PyTorch and FastChat installed; An API key from the OpenAI Platform is required for full functionality
- **Adopt for:** jailbreak-evaluation is a Python package aimed at evaluating if AI models have been jailbroken by generating outputs that diverge from expected programming.

## Decision facts: awesome-llm-security

- **Hosting:** unknown
- **Pricing:** freemium - 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).
- **Adopt for:** 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

## Choose when

### 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.

### 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 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 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.

## 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](/tools/controllability-jailbreak-evaluation/alternatives) and [awesome-llm-security alternatives](/tools/corca-ai-awesome-llm-security/alternatives) ([jailbreak-evaluation markdown twin](/tools/controllability-jailbreak-evaluation/alternatives.md), [awesome-llm-security markdown twin](/tools/corca-ai-awesome-llm-security/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/controllability-jailbreak-evaluation-vs-corca-ai-awesome-llm-security.md) 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](/tools/controllability-jailbreak-evaluation/trust); [awesome-llm-security trust report](/tools/corca-ai-awesome-llm-security/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=controllability-jailbreak-evaluation`](/api/graphcanon/graph?tool=controllability-jailbreak-evaluation)
- 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/_