---
title: "awesome-n8n-templates vs awesome-llm-apps"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/enescingoz-awesome-n8n-templates-vs-shubhamsaboo-awesome-llm-apps"
tools: ["enescingoz-awesome-n8n-templates", "shubhamsaboo-awesome-llm-apps"]
---

# awesome-n8n-templates vs awesome-llm-apps

*GraphCanon updated Aug 19, 2026*

## Verdict

Pick awesome-n8n-templates if awesome-n8n-templates is aimed at users who are looking to rapidly deploy a wide variety of pre-built automation workflows using the n8n platform, spanning services like email, social media, AI agents, and DevOps; pick awesome-llm-apps if awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize.

[awesome-n8n-templates](https://n8n.partnerlinks.io/h1pwwf5m4toe) reports 25k GitHub stars, 6.4k forks, and 4 open issues, last pushed Aug 18, 2026. [awesome-llm-apps](https://www.theunwindai.com) has 131k stars, 19k forks, and 13 open issues, last pushed Aug 3, 2026. Figures are from public GitHub metadata via [awesome-n8n-templates's repository](https://github.com/enescingoz/awesome-n8n-templates) and [awesome-llm-apps's repository](https://github.com/Shubhamsaboo/awesome-llm-apps).

| | [awesome-n8n-templates](/tools/enescingoz-awesome-n8n-templates.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) |
| --- | --- | --- |
| Tagline | Repository containing over 280 free automation templates for n8n, supporting a variety of services including chatbots and DevOps. | Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy. |
| Stars | 24,794 | 131,230 |
| Forks | 6,384 | 19,346 |
| Open issues | 4 | 13 |
| Language | - | Python |
| Adopt for | awesome-n8n-templates is aimed at users who are looking to rapidly deploy a wide variety of pre-built automation workflows using the n8n platform, spanning services like email, social media, AI agents, and DevOps. | awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python. |
| Persona | - | - |
| Runtime | - | - |
| License | Other | The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license. |
| Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval |

## Trust and health

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

| | [awesome-n8n-templates](/tools/enescingoz-awesome-n8n-templates.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) |
| --- | --- | --- |
| Days since push | 0d | 4d |
| Open issues (now) | 4 | 13 |
| Stars delta | +788 (30d) | +14k (30d) |
| Open issues delta | +3 (30d) | +6 (30d) |
| Full report | [trust report](/tools/enescingoz-awesome-n8n-templates/trust.md) | [trust report](/tools/shubhamsaboo-awesome-llm-apps/trust.md) |

**Typed relationship:** awesome-n8n-templates _(related)_ awesome-llm-apps

Both repositories curate collections of AI applications or templates, but `awesome-n8n-templates` focuses specifically on n8n workflows while `awesome-llm-apps` is more general.

## Decision facts: awesome-n8n-templates

- **Pricing:** freemium - The repository offers free access to over 280 ready-to-use workflow templates which can be used within the n8n platform, a tool that is both free and open-source. Note that any paid subscriptions or付费
- **Requirements:** * Requires an active account on n8n to import and utilize templates.
- **Adopt for:** awesome-n8n-templates is aimed at users who are looking to rapidly deploy a wide variety of pre-built automation workflows using the n8n platform, spanning services like email, social media, AI agents, and DevOps.

## Decision facts: awesome-llm-apps

- **Pricing:** freemium - Free with open-source licensing, but commercial exploitation is allowed.
- **Adopt for:** awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python.
- **License detail:** The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license.

## Choose when

### Choose awesome-n8n-templates if…

- License: awesome-n8n-templates is Other, awesome-llm-apps is Apache-2.0.
- Pricing: The repository offers free access to over 280 ready-to-use workflow templates which can be used within the n8n platform, a tool that is both free and open-source. Note that any paid subscriptions or付费.
- Requirements: * Requires an active account on n8n to import and utilize templates..
- Both repositories curate collections of AI applications or templates, but `awesome-n8n-templates` focuses specifically on n8n workflows while `awesome-llm-apps` is more general.
- Tags unique to awesome-n8n-templates: automation-templates, low-code, n8n-template, no-code-automation.
- * When you're leveraging n8n specifically and need ready-to-use automated workflows for various platforms such as Gmail, Telegram, Slack, etc.

### Choose awesome-llm-apps if…

- License: awesome-llm-apps is Apache-2.0, awesome-n8n-templates is Other.
- Pricing: Free with open-source licensing, but commercial exploitation is allowed..
- Both repositories curate collections of AI applications or templates, but `awesome-n8n-templates` focuses specifically on n8n workflows while `awesome-llm-apps` is more general.
- Tags unique to awesome-llm-apps: agents, applications, customizable, deployable.
- When you need quick implementations of various real-world use cases for AI Agents and RAG.

## When NOT to use awesome-n8n-templates

- * When your automation needs are highly specialized and none of the existing over 280 provided templates match those requirements, necessitating custom development.
- * If you're not using n8n for your automation processes, opting instead for other platforms that do not support these specific.json template files.

## When NOT to use awesome-llm-apps

- If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch.
- When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.

## Common questions

### What is the difference between awesome-n8n-templates and awesome-llm-apps?

awesome-n8n-templates: Repository containing over 280 free automation templates for n8n, supporting a variety of services including chatbots and DevOps.. awesome-llm-apps: Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.. See the comparison table for live GitHub stats and shared categories.

### When should I choose awesome-n8n-templates over awesome-llm-apps?

Choose awesome-n8n-templates over awesome-llm-apps when License: awesome-n8n-templates is Other, awesome-llm-apps is Apache-2.0; Pricing: The repository offers free access to over 280 ready-to-use workflow templates which can be used within the n8n platform, a tool that is both free and open-source. Note that any paid subscriptions or付费; Requirements: * Requires an active account on n8n to import and utilize templates.; Both repositories curate collections of AI applications or templates, but `awesome-n8n-templates` focuses specifically on n8n workflows while `awesome-llm-apps` is more general; Tags unique to awesome-n8n-templates: automation-templates, low-code, n8n-template, no-code-automation; * When you're leveraging n8n specifically and need ready-to-use automated workflows for various platforms such as Gmail, Telegram, Slack, etc.

### When should I choose awesome-llm-apps over awesome-n8n-templates?

Choose awesome-llm-apps over awesome-n8n-templates when License: awesome-llm-apps is Apache-2.0, awesome-n8n-templates is Other; Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Both repositories curate collections of AI applications or templates, but `awesome-n8n-templates` focuses specifically on n8n workflows while `awesome-llm-apps` is more general; Tags unique to awesome-llm-apps: agents, applications, customizable, deployable; When you need quick implementations of various real-world use cases for AI Agents and RAG.

### When should I avoid awesome-n8n-templates?

* When your automation needs are highly specialized and none of the existing over 280 provided templates match those requirements, necessitating custom development. * If you're not using n8n for your automation processes, opting instead for other platforms that do not support these specific.json template files.

### When should I avoid awesome-llm-apps?

If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch. When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.

### Is awesome-n8n-templates or awesome-llm-apps more popular on GitHub?

awesome-llm-apps has more GitHub stars (131,230 vs 24,794). Stars measure visibility, not whether either tool fits your constraints.

### Are awesome-n8n-templates and awesome-llm-apps open source?

Yes - both are open-source projects on GitHub (awesome-n8n-templates: Other, awesome-llm-apps: Apache-2.0).

### Where can I find alternatives to awesome-n8n-templates or awesome-llm-apps?

GraphCanon lists graph-backed alternatives at [awesome-n8n-templates alternatives](/tools/enescingoz-awesome-n8n-templates/alternatives) and [awesome-llm-apps alternatives](/tools/shubhamsaboo-awesome-llm-apps/alternatives) ([awesome-n8n-templates markdown twin](/tools/enescingoz-awesome-n8n-templates/alternatives.md), [awesome-llm-apps markdown twin](/tools/shubhamsaboo-awesome-llm-apps/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/enescingoz-awesome-n8n-templates-vs-shubhamsaboo-awesome-llm-apps.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, awesome-n8n-templates or awesome-llm-apps?

awesome-n8n-templates: Very active. awesome-llm-apps: Very active. 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-n8n-templates and awesome-llm-apps?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-n8n-templates trust report](/tools/enescingoz-awesome-n8n-templates/trust); [awesome-llm-apps trust report](/tools/shubhamsaboo-awesome-llm-apps/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=enescingoz-awesome-n8n-templates`](/api/graphcanon/graph?tool=enescingoz-awesome-n8n-templates)
- 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/_
