---
title: "garak vs agentic-radar"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/nvidia-garak-vs-splx-ai-agentic-radar"
tools: ["nvidia-garak", "splx-ai-agentic-radar"]
---

# garak vs agentic-radar

*GraphCanon updated Aug 8, 2026*

## Verdict

Pick garak when tags unique to garak: ai, llm-evaluation, security-scanners, vulnerability-assessment; pick agentic-radar when tags unique to agentic-radar: agentic-ai, devsecops, generative-ai, security-tools.

[garak](https://discord.gg/uVch4puUCs) reports 8.7k GitHub stars, 1.1k forks, and 374 open issues, last pushed Aug 4, 2026. [agentic-radar](https://splx.ai) has 1.0k stars, 141 forks, and 16 open issues, last pushed Nov 27, 2025. Figures are from public GitHub metadata via [garak's repository](https://github.com/NVIDIA/garak) and [agentic-radar's repository](https://github.com/splx-ai/agentic-radar).

| | [garak](/tools/nvidia-garak.md) | [agentic-radar](/tools/splx-ai-agentic-radar.md) |
| --- | --- | --- |
| Tagline | LLM vulnerability scanner | A security scanner for your LLM agentic workflows |
| Stars | 8,696 | 1,025 |
| Forks | 1,145 | 141 |
| Open issues | 374 | 16 |
| Language | Python | Python |
| Adopt for | LLM Vulnerability Scanner | - |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | Apache-2.0 |
| Categories | Evaluation & Observability | AI Agents, Evaluation & Observability |

## Trust and health

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

| | [garak](/tools/nvidia-garak.md) | [agentic-radar](/tools/splx-ai-agentic-radar.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Slowing (36%) |
| Days since push | 0d | 253d |
| Open issues (now) | 374 | 16 |
| Full report | [trust report](/tools/nvidia-garak/trust.md) | [trust report](/tools/splx-ai-agentic-radar/trust.md) |

## Shared compatibility

- **Python**: [garak](/tools/nvidia-garak.md) - Python runtime; [agentic-radar](/tools/splx-ai-agentic-radar.md) - Python runtime

## Decision facts: garak

- **Adopt for:** LLM Vulnerability Scanner
- **License detail:** Apache-2.0

## Choose when

### Choose garak if…

- Tags unique to garak: ai, llm-evaluation, security-scanners, vulnerability-assessment.
- When needing to assess the security and reliability of language models specifically using a tool developed by NVIDIA.
- More GitHub stars (8.7k vs 1.0k) - visibility, not fit.

### Choose agentic-radar if…

- Tags unique to agentic-radar: agentic-ai, devsecops, generative-ai, security-tools.
- Also covers AI Agents.
- When you need to test for vulnerabilities in generative AI workflows involving LLM frameworks

## When NOT to use garak

- When the targeted model is not supported by 'garak', such as some specialized API-based generators that need specific configurations beyond setting environment variables.
- If real-time updates are necessary, as the PyPI version of garak might lag behind the development version available on GitHub.

## When NOT to use agentic-radar

- Avoid if the Python version is not within the supported range of >=3.10 and <3.13 especially when using CrewAI features
- Do not use if security scanning for LLM agentic workflows is unnecessary for your project needs

## Common questions

### What is the difference between garak and agentic-radar?

garak: LLM vulnerability scanner. agentic-radar: A security scanner for your LLM agentic workflows. See the comparison table for live GitHub stats and shared categories.

### When should I choose garak over agentic-radar?

Choose garak over agentic-radar when Tags unique to garak: ai, llm-evaluation, security-scanners, vulnerability-assessment; When needing to assess the security and reliability of language models specifically using a tool developed by NVIDIA; More GitHub stars (8.7k vs 1.0k) - visibility, not fit.

### When should I choose agentic-radar over garak?

Choose agentic-radar over garak when Tags unique to agentic-radar: agentic-ai, devsecops, generative-ai, security-tools; Also covers AI Agents; When you need to test for vulnerabilities in generative AI workflows involving LLM frameworks.

### When should I avoid garak?

When the targeted model is not supported by 'garak', such as some specialized API-based generators that need specific configurations beyond setting environment variables. If real-time updates are necessary, as the PyPI version of garak might lag behind the development version available on GitHub.

### When should I avoid agentic-radar?

Avoid if the Python version is not within the supported range of >=3.10 and <3.13 especially when using CrewAI features Do not use if security scanning for LLM agentic workflows is unnecessary for your project needs

### Is garak or agentic-radar more popular on GitHub?

garak has more GitHub stars (8,696 vs 1,025). Stars measure visibility, not whether either tool fits your constraints.

### Are garak and agentic-radar open source?

Yes - both are open-source projects on GitHub (garak: Apache-2.0, agentic-radar: Apache-2.0).

### Where can I find alternatives to garak or agentic-radar?

GraphCanon lists graph-backed alternatives at [garak alternatives](/tools/nvidia-garak/alternatives) and [agentic-radar alternatives](/tools/splx-ai-agentic-radar/alternatives) ([garak markdown twin](/tools/nvidia-garak/alternatives.md), [agentic-radar markdown twin](/tools/splx-ai-agentic-radar/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/nvidia-garak-vs-splx-ai-agentic-radar.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, garak or agentic-radar?

garak: Very active. agentic-radar: 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 garak and agentic-radar?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [garak trust report](/tools/nvidia-garak/trust); [agentic-radar trust report](/tools/splx-ai-agentic-radar/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=nvidia-garak`](/api/graphcanon/graph?tool=nvidia-garak)
- 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/_
