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

# activepieces vs awesome-n8n-templates

*GraphCanon updated Aug 20, 2026*

## Verdict

Pick activepieces if activePieces is an open-source platform for building and managing AI-powered workflows and agents through MCP (Microservices Control Plane) servers, enabling advanced automation tailored to complex needs; 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.

[activepieces](https://www.activepieces.com) reports 24k GitHub stars, 4.1k forks, and 476 open issues, last pushed Aug 19, 2026. [awesome-n8n-templates](https://n8n.partnerlinks.io/h1pwwf5m4toe) has 25k stars, 6.4k forks, and 4 open issues, last pushed Aug 18, 2026. Figures are from public GitHub metadata via [activepieces's repository](https://github.com/activepieces/activepieces) and [awesome-n8n-templates's repository](https://github.com/enescingoz/awesome-n8n-templates).

| | [activepieces](/tools/activepieces-activepieces.md) | [awesome-n8n-templates](/tools/enescingoz-awesome-n8n-templates.md) |
| --- | --- | --- |
| Tagline | AI Agents & MCPs & AI Workflow Automation | Repository containing over 280 free automation templates for n8n, supporting a variety of services including chatbots and DevOps. |
| Stars | 23,903 | 24,794 |
| Forks | 4,061 | 6,384 |
| Open issues | 476 | 4 |
| Language | TypeScript | - |
| Adopt for | ActivePieces is an open-source platform for building and managing AI-powered workflows and agents through MCP (Microservices Control Plane) servers, enabling advanced automation tailored to complex needs. | 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. |
| Persona | - | - |
| Runtime | - | - |
| License | ActivePieces offers its Community Edition under the MIT license promoting free and open distribution. However, enterprise features come with a Commercial License which restricts usage based on terms | Other |
| Categories | AI Agents | AI Agents, Data & Retrieval |

## Trust and health

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

| | [activepieces](/tools/activepieces-activepieces.md) | [awesome-n8n-templates](/tools/enescingoz-awesome-n8n-templates.md) |
| --- | --- | --- |
| Open issues (now) | 476 | 4 |
| Stars delta | +562 (30d) | +788 (30d) |
| Open issues delta | +42 (30d) | +3 (30d) |
| Owner type | Organization | User |
| Full report | [trust report](/tools/activepieces-activepieces/trust.md) | [trust report](/tools/enescingoz-awesome-n8n-templates/trust.md) |

## Decision facts: activepieces

- **Pricing:** commercial - The pricing details are not fully disclosed in the repository but can be accessed through their official site.
- **Requirements:** While specific system requirements aren’t detailed, its capabilities suggest a substantial hardware investment for larger implementations. Docker isn't required
- **Adopt for:** ActivePieces is an open-source platform for building and managing AI-powered workflows and agents through MCP (Microservices Control Plane) servers, enabling advanced automation tailored to complex needs.
- **License detail:** ActivePieces offers its Community Edition under the MIT license promoting free and open distribution. However, enterprise features come with a Commercial License which restricts usage based on terms

## 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.

## Choose when

### Choose activepieces if…

- Pricing: The pricing details are not fully disclosed in the repository but can be accessed through their official site..
- Requirements: While specific system requirements aren’t detailed, its capabilities suggest a substantial hardware investment for larger implementations. Docker isn't required.
- Tags unique to activepieces: ai-agent, ai-agents-framework, mcp-server, n8n-alternative.
- activepieces ships Docker support for self-hosted deployment.
- - You need a robust solution for managing up to ~400 MCP servers dedicated for AI agents.

### Choose awesome-n8n-templates if…

- 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..
- Tags unique to awesome-n8n-templates: automation-templates, low-code, n8n-template, self-hosted.
- Also covers Data & Retrieval.
- * When you're leveraging n8n specifically and need ready-to-use automated workflows for various platforms such as Gmail, Telegram, Slack, etc.

## When NOT to use activepieces

- - If the project's scale is limited, as ActivePieces is designed with extensive scalability (up to ~400 MCP servers) potentially offering more firepower than necessary for small tasks.
- - When absolute no-code solutions are preferred, since while ActivePieces aims at simplifying AI workflow automation, it does require some coding knowledge in TypeScript.

## 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.

## Common questions

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

activepieces: AI Agents & MCPs & AI Workflow Automation. awesome-n8n-templates: Repository containing over 280 free automation templates for n8n, supporting a variety of services including chatbots and DevOps.. See the comparison table for live GitHub stats and shared categories.

### When should I choose activepieces over awesome-n8n-templates?

Choose activepieces over awesome-n8n-templates when Pricing: The pricing details are not fully disclosed in the repository but can be accessed through their official site.; Requirements: While specific system requirements aren’t detailed, its capabilities suggest a substantial hardware investment for larger implementations. Docker isn't required; Tags unique to activepieces: ai-agent, ai-agents-framework, mcp-server, n8n-alternative; activepieces ships Docker support for self-hosted deployment; - You need a robust solution for managing up to ~400 MCP servers dedicated for AI agents.

### When should I choose awesome-n8n-templates over activepieces?

Choose awesome-n8n-templates over activepieces when 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.; Tags unique to awesome-n8n-templates: automation-templates, low-code, n8n-template, self-hosted; Also covers Data & Retrieval; * 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 avoid activepieces?

- If the project's scale is limited, as ActivePieces is designed with extensive scalability (up to ~400 MCP servers) potentially offering more firepower than necessary for small tasks. - When absolute no-code solutions are preferred, since while ActivePieces aims at simplifying AI workflow automation, it does require some coding knowledge in TypeScript.

### 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.

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

awesome-n8n-templates has more GitHub stars (24,794 vs 23,903). Stars measure visibility, not whether either tool fits your constraints.

### Are activepieces and awesome-n8n-templates open source?

Yes - both are open-source projects on GitHub (activepieces: Other, awesome-n8n-templates: Other).

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

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

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

activepieces: Very active. awesome-n8n-templates: 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 activepieces and awesome-n8n-templates?

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

---

**Machine-readable endpoints**

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