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

# awesome-evals vs awesome-llm-security

*GraphCanon updated Aug 6, 2026*

## Verdict

Pick awesome-evals if curated resources for AI agent evaluation with BenchFlow backing its maintenance; 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.

[awesome-evals](https://github.com/benchflow-ai/awesome-evals) reports 761 GitHub stars, 71 forks, and 21 open issues, last pushed Jul 1, 2026. [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 [awesome-evals's repository](https://github.com/benchflow-ai/awesome-evals) and [awesome-llm-security's repository](https://github.com/corca-ai/awesome-llm-security).

| | [awesome-evals](/tools/benchflow-ai-awesome-evals.md) | [awesome-llm-security](/tools/corca-ai-awesome-llm-security.md) |
| --- | --- | --- |
| Tagline | A curated library of resources for building and evaluating AI agents | A curation of tools, documents and projects about LLM Security |
| Stars | 761 | 1,672 |
| Forks | 71 | 312 |
| Open issues | 21 | 173 |
| Language | - | - |
| Adopt for | Curated resources for AI agent evaluation with BenchFlow backing its maintenance | 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 | Other | - |
| Categories | AI Agents, Evaluation & Observability | Evaluation & Observability |

## Trust and health

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

| | [awesome-evals](/tools/benchflow-ai-awesome-evals.md) | [awesome-llm-security](/tools/corca-ai-awesome-llm-security.md) |
| --- | --- | --- |
| Maintenance | Active (82%) | Slowing (36%) |
| Days since push | 26d | 351d |
| Open issues (now) | 21 | 173 |
| Full report | [trust report](/tools/benchflow-ai-awesome-evals/trust.md) | [trust report](/tools/corca-ai-awesome-llm-security/trust.md) |

## Decision facts: awesome-evals

- **Adopt for:** Curated resources for AI agent evaluation with BenchFlow backing its maintenance

## 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 awesome-evals if…

- Tags unique to awesome-evals: agent-evaluation, ai-agents, benchmarks, llm-evaluation.
- Also covers AI Agents.
- Need diverse resources encompassing papers, blogs, talks, tools, and benchmarks specifically curated for AI agent evaluation

### 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: 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-evals

- Require real-time interactive support or direct tool integrations not covered by a static resource list
- Seeking proprietary tools from specific vendors rather than open resources and community content

## 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 awesome-evals and awesome-llm-security?

awesome-evals: A curated library of resources for building and evaluating AI agents. 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 awesome-evals over awesome-llm-security?

Choose awesome-evals over awesome-llm-security when Tags unique to awesome-evals: agent-evaluation, ai-agents, benchmarks, llm-evaluation; Also covers AI Agents; Need diverse resources encompassing papers, blogs, talks, tools, and benchmarks specifically curated for AI agent evaluation.

### When should I choose awesome-llm-security over awesome-evals?

Choose awesome-llm-security over awesome-evals 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: 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 awesome-evals?

Require real-time interactive support or direct tool integrations not covered by a static resource list Seeking proprietary tools from specific vendors rather than open resources and community content

### 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 awesome-evals or awesome-llm-security more popular on GitHub?

awesome-llm-security has more GitHub stars (1,672 vs 761). Stars measure visibility, not whether either tool fits your constraints.

### Are awesome-evals and awesome-llm-security open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to awesome-evals or awesome-llm-security?

GraphCanon lists graph-backed alternatives at [awesome-evals alternatives](/tools/benchflow-ai-awesome-evals/alternatives) and [awesome-llm-security alternatives](/tools/corca-ai-awesome-llm-security/alternatives) ([awesome-evals markdown twin](/tools/benchflow-ai-awesome-evals/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/benchflow-ai-awesome-evals-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, awesome-evals or awesome-llm-security?

awesome-evals: Active. 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 awesome-evals and awesome-llm-security?

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

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=benchflow-ai-awesome-evals`](/api/graphcanon/graph?tool=benchflow-ai-awesome-evals)
- 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/_