---
title: "awesome-llm-security vs Awesome-LLM-hallucination"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/corca-ai-awesome-llm-security-vs-luckyyysta-awesome-llm-hallucination"
tools: ["corca-ai-awesome-llm-security", "luckyyysta-awesome-llm-hallucination"]
---

# awesome-llm-security vs Awesome-LLM-hallucination

*GraphCanon updated Jul 12, 2026*

## Verdict

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; pick Awesome-LLM-hallucination if awesome-LLM-hallucination stands out as a resource dedicated to the in-depth analysis of hallucination phenomena within Large Language Models (LLMs). Its curated list.

[awesome-llm-security](https://github.com/corca-ai/awesome-llm-security) reports 1.6k GitHub stars, 294 forks, and 161 open issues, last pushed Aug 20, 2025. [Awesome-LLM-hallucination](https://github.com/LuckyyySTA/Awesome-LLM-hallucination) has 337 stars, 27 forks, and 5 open issues, last pushed Mar 11, 2024. Figures are from public GitHub metadata via [awesome-llm-security's repository](https://github.com/corca-ai/awesome-llm-security) and [Awesome-LLM-hallucination's repository](https://github.com/LuckyyySTA/Awesome-LLM-hallucination).

| | [awesome-llm-security](/tools/corca-ai-awesome-llm-security.md) | [Awesome-LLM-hallucination](/tools/luckyyysta-awesome-llm-hallucination.md) |
| --- | --- | --- |
| Tagline | A curation of tools, documents and projects about LLM Security | A Survey on Hallucination in Large Language Models |
| Stars | 1,637 | 337 |
| Forks | 294 | 27 |
| Open issues | 161 | 5 |
| Language | - | - |
| 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 | Awesome-LLM-hallucination stands out as a resource dedicated to the in-depth analysis of hallucination phenomena within Large Language Models (LLMs). Its curated list and categorization make it distinct from other tools, |
| Persona | - | - |
| Runtime | - | - |
| License | - | MIT |
| Categories | Evaluation & Observability | Evaluation & Observability |

## Trust and health

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

| | [awesome-llm-security](/tools/corca-ai-awesome-llm-security.md) | [Awesome-LLM-hallucination](/tools/luckyyysta-awesome-llm-hallucination.md) |
| --- | --- | --- |
| Maintenance | Slowing (36%) | Dormant (18%) |
| Days since push | 325d | 852d |
| Open issues (now) | 161 | 5 |
| Owner type | Organization | User |
| Full report | [trust report](/tools/corca-ai-awesome-llm-security/trust.md) | [trust report](/tools/luckyyysta-awesome-llm-hallucination/trust.md) |

## Shared compatibility

- **ChatGPT**: [awesome-llm-security](/tools/corca-ai-awesome-llm-security.md) - Works with ChatGPT; [Awesome-LLM-hallucination](/tools/luckyyysta-awesome-llm-hallucination.md) - Works with ChatGPT

## 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

## Decision facts: Awesome-LLM-hallucination

- **Requirements:** The exact language used by the repository is unknown, as no specific programming languages are listed.
- **Adopt for:** Awesome-LLM-hallucination stands out as a resource dedicated to the in-depth analysis of hallucination phenomena within Large Language Models (LLMs). Its curated list and categorization make it distinct from other tools,
- **License detail:** MIT

## Choose when

### 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, 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.

### Choose Awesome-LLM-hallucination if…

- Requirements: The exact language used by the repository is unknown, as no specific programming languages are listed..
- Tags unique to Awesome-LLM-hallucination: hallucination, large-language-models, survey.
- - When you need detailed categorizations by causes, detection methods, and mitigation strategies for LLM hallucinations.

## 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.

## When NOT to use Awesome-LLM-hallucination

- - Avoid using this resource for practical, hands-on tools or code that helps mitigate hallucinations directly (it's primarily informative).
- - Do not use if you are looking for real-time diagnostic software for identifying and correcting LLM hallucination mistakes in live applications.
- - This tool is not suitable as a standalone guide for implementing mitigation techniques within your own large language models; it lacks detailed technical instructions.

## Common questions

### What is the difference between awesome-llm-security and Awesome-LLM-hallucination?

awesome-llm-security: A curation of tools, documents and projects about LLM Security. Awesome-LLM-hallucination: A Survey on Hallucination in Large Language Models. See the comparison table for live GitHub stats and shared categories.

### When should I choose awesome-llm-security over Awesome-LLM-hallucination?

Choose awesome-llm-security over Awesome-LLM-hallucination 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, 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 choose Awesome-LLM-hallucination over awesome-llm-security?

Choose Awesome-LLM-hallucination over awesome-llm-security when Requirements: The exact language used by the repository is unknown, as no specific programming languages are listed.; Tags unique to Awesome-LLM-hallucination: hallucination, large-language-models, survey; - When you need detailed categorizations by causes, detection methods, and mitigation strategies for LLM hallucinations.

### 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.

### When should I avoid Awesome-LLM-hallucination?

- Avoid using this resource for practical, hands-on tools or code that helps mitigate hallucinations directly (it's primarily informative). - Do not use if you are looking for real-time diagnostic software for identifying and correcting LLM hallucination mistakes in live applications. - This tool is not suitable as a standalone guide for implementing mitigation techniques within your own large language models; it lacks detailed technical instructions.

### Is awesome-llm-security or Awesome-LLM-hallucination more popular on GitHub?

awesome-llm-security has more GitHub stars (1,637 vs 337). Stars measure visibility, not whether either tool fits your constraints.

### Are awesome-llm-security and Awesome-LLM-hallucination open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to awesome-llm-security or Awesome-LLM-hallucination?

GraphCanon lists graph-backed alternatives at [awesome-llm-security alternatives](/tools/corca-ai-awesome-llm-security/alternatives) and [Awesome-LLM-hallucination alternatives](/tools/luckyyysta-awesome-llm-hallucination/alternatives) ([awesome-llm-security markdown twin](/tools/corca-ai-awesome-llm-security/alternatives.md), [Awesome-LLM-hallucination markdown twin](/tools/luckyyysta-awesome-llm-hallucination/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/corca-ai-awesome-llm-security-vs-luckyyysta-awesome-llm-hallucination.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, awesome-llm-security or Awesome-LLM-hallucination?

awesome-llm-security: Slowing. Awesome-LLM-hallucination: 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 awesome-llm-security and Awesome-LLM-hallucination?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-llm-security trust report](/tools/corca-ai-awesome-llm-security/trust); [Awesome-LLM-hallucination trust report](/tools/luckyyysta-awesome-llm-hallucination/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=corca-ai-awesome-llm-security`](/api/graphcanon/graph?tool=corca-ai-awesome-llm-security)
- 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/_