---
title: "raga-llm-hub vs fast-llm-security-guardrails"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/raga-ai-hub-raga-llm-hub-vs-zenguard-ai-fast-llm-security-guardrails"
tools: ["raga-ai-hub-raga-llm-hub", "zenguard-ai-fast-llm-security-guardrails"]
---

# raga-llm-hub vs fast-llm-security-guardrails

*GraphCanon updated Aug 10, 2026*

## Verdict

Pick raga-llm-hub if raga LLM-Hub is a Python-based framework for evaluating large language models, enforcing guardrails, and ensuring security during the operation of these models; pick fast-llm-security-guardrails if fast-llm-security-guardrails, also known as ZenGuard, is designed for the rapid deployment of security measures into AI agent systems to ensure they operate within defined trust constraints.

[raga-llm-hub](https://www.raga.ai/llms) reports 114 GitHub stars, 14 forks, and 2 open issues, last pushed Sep 9, 2024. [fast-llm-security-guardrails](https://zenguard.ai/) has 154 stars, 21 forks, and 0 open issues, last pushed Feb 3, 2026. Figures are from public GitHub metadata via [raga-llm-hub's repository](https://github.com/raga-ai-hub/raga-llm-hub) and [fast-llm-security-guardrails's repository](https://github.com/ZenGuard-AI/fast-llm-security-guardrails).

| | [raga-llm-hub](/tools/raga-ai-hub-raga-llm-hub.md) | [fast-llm-security-guardrails](/tools/zenguard-ai-fast-llm-security-guardrails.md) |
| --- | --- | --- |
| Tagline | Framework for LLM evaluation, guardrails and security | The fastest Trust Layer for AI Agents |
| Stars | 114 | 154 |
| Forks | 14 | 21 |
| Open issues | 2 | 0 |
| Language | Python | Python |
| Adopt for | Raga LLM-Hub is a Python-based framework for evaluating large language models, enforcing guardrails, and ensuring security during the operation of these models. | fast-llm-security-guardrails, also known as ZenGuard, is designed for the rapid deployment of security measures into AI agent systems to ensure they operate within defined trust constraints. |
| Persona | - | - |
| Runtime | - | - |
| License | The license for Raga LLM-Hub differs from common Open Source licenses like MIT or Apache, implying specific conditions that might affect its usability in open projects. | MIT |
| Categories | Evaluation & Observability | AI Agents, Evaluation & Observability |

## Trust and health

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

| | [raga-llm-hub](/tools/raga-ai-hub-raga-llm-hub.md) | [fast-llm-security-guardrails](/tools/zenguard-ai-fast-llm-security-guardrails.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Slowing (36%) |
| Days since push | 687d | 187d |
| Open issues (now) | 2 | 0 |
| Full report | [trust report](/tools/raga-ai-hub-raga-llm-hub/trust.md) | [trust report](/tools/zenguard-ai-fast-llm-security-guardrails/trust.md) |

## Shared compatibility

- **Python**: [raga-llm-hub](/tools/raga-ai-hub-raga-llm-hub.md) - Python runtime; [fast-llm-security-guardrails](/tools/zenguard-ai-fast-llm-security-guardrails.md) - Python runtime

## Decision facts: raga-llm-hub

- **Pricing:** unknown - Pricing information is not specified; it operates under a unique licensing model which may or may not have restrictive terms for commercial use.
- **Requirements:** Requires Python installation and environment to set up.; Installation is straightforward through pip but the broader dependencies should be checked as per project requirements.
- **Adopt for:** Raga LLM-Hub is a Python-based framework for evaluating large language models, enforcing guardrails, and ensuring security during the operation of these models.
- **License detail:** The license for Raga LLM-Hub differs from common Open Source licenses like MIT or Apache, implying specific conditions that might affect its usability in open projects.

## Decision facts: fast-llm-security-guardrails

- **Adopt for:** fast-llm-security-guardrails, also known as ZenGuard, is designed for the rapid deployment of security measures into AI agent systems to ensure they operate within defined trust constraints.

## Choose when

### Choose raga-llm-hub if…

- License: raga-llm-hub is Other, fast-llm-security-guardrails is MIT.
- Pricing: Pricing information is not specified; it operates under a unique licensing model which may or may not have restrictive terms for commercial use..
- Requirements: Requires Python installation and environment to set up.; Installation is straightforward through pip but the broader dependencies should be checked as per project requirements..
- Tags unique to raga-llm-hub: guardrails, llm security, llm-evaluation, llmops.
- When you need to conduct detailed evaluations on large language models and require specific methods to enforce guardrails and maintain security within your application or environment.

### Choose fast-llm-security-guardrails if…

- License: fast-llm-security-guardrails is MIT, raga-llm-hub is Other.
- Tags unique to fast-llm-security-guardrails: agentic-ai, ai-agent, ai-agents, ai-runtime.
- Also covers AI Agents.
- Fast integration of privacy and security guardrails in environments where real-time evaluation and observability are critical.

## When NOT to use raga-llm-hub

- If you are working in an environment where the use of Python is not feasible or desired, as Raga LLM-Hub's functionality is deeply integrated within Python.
- Avoid using if your primary need does not include guardrails enforcement and security features for LLMs, since Raga LLM Hub emphasizes these aspects.

## When NOT to use fast-llm-security-guardrails

- If your project requires a more customizable solution than what fast-llm-security-guardrails offers in its out-of-the-box configurations.
- For teams that operate without established runtime environments like LangChain or LlamaIndex, as this may necessitate significant adaptation of ZenGuard.

## Common questions

### What is the difference between raga-llm-hub and fast-llm-security-guardrails?

raga-llm-hub: Framework for LLM evaluation, guardrails and security. fast-llm-security-guardrails: The fastest Trust Layer for AI Agents. See the comparison table for live GitHub stats and shared categories.

### When should I choose raga-llm-hub over fast-llm-security-guardrails?

Choose raga-llm-hub over fast-llm-security-guardrails when License: raga-llm-hub is Other, fast-llm-security-guardrails is MIT; Pricing: Pricing information is not specified; it operates under a unique licensing model which may or may not have restrictive terms for commercial use.; Requirements: Requires Python installation and environment to set up.; Installation is straightforward through pip but the broader dependencies should be checked as per project requirements.; Tags unique to raga-llm-hub: guardrails, llm security, llm-evaluation, llmops; When you need to conduct detailed evaluations on large language models and require specific methods to enforce guardrails and maintain security within your application or environment.

### When should I choose fast-llm-security-guardrails over raga-llm-hub?

Choose fast-llm-security-guardrails over raga-llm-hub when License: fast-llm-security-guardrails is MIT, raga-llm-hub is Other; Tags unique to fast-llm-security-guardrails: agentic-ai, ai-agent, ai-agents, ai-runtime; Also covers AI Agents; Fast integration of privacy and security guardrails in environments where real-time evaluation and observability are critical.

### When should I avoid raga-llm-hub?

If you are working in an environment where the use of Python is not feasible or desired, as Raga LLM-Hub's functionality is deeply integrated within Python. Avoid using if your primary need does not include guardrails enforcement and security features for LLMs, since Raga LLM Hub emphasizes these aspects.

### When should I avoid fast-llm-security-guardrails?

If your project requires a more customizable solution than what fast-llm-security-guardrails offers in its out-of-the-box configurations. For teams that operate without established runtime environments like LangChain or LlamaIndex, as this may necessitate significant adaptation of ZenGuard.

### Is raga-llm-hub or fast-llm-security-guardrails more popular on GitHub?

fast-llm-security-guardrails has more GitHub stars (154 vs 114). Stars measure visibility, not whether either tool fits your constraints.

### Are raga-llm-hub and fast-llm-security-guardrails open source?

Yes - both are open-source projects on GitHub (raga-llm-hub: Other, fast-llm-security-guardrails: MIT).

### Where can I find alternatives to raga-llm-hub or fast-llm-security-guardrails?

GraphCanon lists graph-backed alternatives at [raga-llm-hub alternatives](/tools/raga-ai-hub-raga-llm-hub/alternatives) and [fast-llm-security-guardrails alternatives](/tools/zenguard-ai-fast-llm-security-guardrails/alternatives) ([raga-llm-hub markdown twin](/tools/raga-ai-hub-raga-llm-hub/alternatives.md), [fast-llm-security-guardrails markdown twin](/tools/zenguard-ai-fast-llm-security-guardrails/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/raga-ai-hub-raga-llm-hub-vs-zenguard-ai-fast-llm-security-guardrails.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, raga-llm-hub or fast-llm-security-guardrails?

raga-llm-hub: Dormant. fast-llm-security-guardrails: 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 raga-llm-hub and fast-llm-security-guardrails?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [raga-llm-hub trust report](/tools/raga-ai-hub-raga-llm-hub/trust); [fast-llm-security-guardrails trust report](/tools/zenguard-ai-fast-llm-security-guardrails/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=raga-ai-hub-raga-llm-hub`](/api/graphcanon/graph?tool=raga-ai-hub-raga-llm-hub)
- 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/_